Database Developer Jobs

Key Responsibilities Design, build, and scale production-grade backend services using Python, Django, and Django REST Framework (DRF). Architect and ship full-stack features end-to-end: REST endpoints and serializers on the backend, and the corresponding React + Vite screens that consume them. Develop and integrate RESTful APIs for seamless communication between the React SPA, internal microservices, and third-party providers (LLMs, payments, OAuth, re CAPTCHA). Build and maintain the React frontend with Redux Toolkit, Tan Stack Query, React Router, React Hook Form + Zod, and Tailwind/Headless UI, paying attention to performance (memoization, code splitting, lazy loading) and accessibility. Implement real-time delivery patterns - Server-Sent Events (SSE), Redis-backed status polling, and ASGI endpoints - knowing when to use each and how to handle reconnects, retries, and cleanup. Contribute to automated data extraction and content parsing from web pages and online sources using requests/httpx/aiohttp, Beautiful Soup4, lxml, and curl_cffi. Work with proxy management for high-volume HTTP clients Apply multithreading, async I/O, and Celery task orchestration (Rabbit MQ broker, retries, idempotency) to handle concurrent operations and long-running pipelines reliably. Design and optimize Postgre SQL schemas and queries, including indexes, constraints, and Django signals. Add and tune caching layers with Redis (django-redis) - TTL strategies, pipeline writes, and cache invalidation to reduce load and latency. Lead the full software lifecycle: scope, design, implement, test, deploy, and monitor; keep architecture docs in sync with the code. Implement security best practices: OWASP Top 10, http Only-cookie JWT with silent refresh, delegation/impersonation auth, CSRF/CORS, brute-force protection, input validation, secrets management, and rate limiting. Integrate multi-provider LLM workflows (Open AI, Anthropic Claude, Google Gemini), including streaming responses, token accounting, and model fallback. Collaborate with frontend, data, and ops counterparts to integrate dashboards (Apex Charts, Tan Stack Table, @dnd-kit, ExcelJS) with backend services and microservices. Own deployment and operations: Docker / docker-compose, Gunicorn/Uvicorn + Nginx, Git Hub Actions CI/CD, zero-downtime releases, monitoring, and rollback. Write clean, maintainable code with proper documentation, and ship every feature/bugfix with meaningful automated tests.<br><br>Qualifications Bachelor's in Computer Science, Software Engineering, or a related field. Minimum 2 years of professional full-stack experience shipping production systems with Django/DRF on the backend and React on the frontend. In-depth experience with Django and DRF: ORM, signals, middleware, ASGI, custom authentication, throttling, pagination, versioning, and admin customization. Strong React skills with Vite, React Router, Redux Toolkit, Tan Stack Query, React Hook Form + Zod, Tailwind CSS, Headless UI, Apex Charts, and Tan Stack Table. Hands-on experience with real-time UI via SSE/Event Source (retries, backoff, terminal status handling, reconnects) and Axios interceptors for silent token refresh, CSRF, and rate-limit handling. Proven track record designing, developing, and deploying scalable Django applications in production, ideally in multi-service architectures. Strong proficiency in Postgre SQL schema design, indexing, and query optimization. Familiarity with Duck DB/Parquet for columnar analytics is a plus. Solid Linux fundamentals. Experience with message brokers (Rabbit MQ/Redis) and Celery - scheduling, retries, idempotency, and monitoring of long-running pipelines. Production ops experience: Docker, docker-compose, Gunicorn/Uvicorn, Nginx, secrets management, and observability with Prometheus, Open Telemetry, Grafana, Loki, and Tempo. Familiarity with HTTP protocols, parsing structured data (HTML, XML, JSON, Excel), and resilience patterns (retries, exponential backoff). Hands-on integration with LLM providers (Open AI, Anthropic, Gemini): streaming, structured output, and token/cost accounting. Testing discipline across both stacks: pytest + pytest-django + factory-boy on the backend, Vitest + React Testing Library + MSW + jest-axe for unit/integration, and Playwright for E2E. Strong understanding of software design patterns, SOLID principles, and clean architecture, applied without over-engineering. Strong problem-solving skills and meticulous attention to detail. Experience with Git, conventional commits, code review, Git Hub Actions CI/CD, and agile methodologies.<br><br>Bonus Experience with Fast API microservices and aio-pika async Rabbit MQ consumers. Familiarity with Min IO / S3-compatible storage via django-storages. Experience with Google OAuth, re CAPTCHA, and payment gateway integrations. Prior work on data-intensive Saa S platforms with heavy async pipelines and real-time dashboards.

Key Responsibilities Design, build, and scale production-grade backend services using Python, Django, and Django REST Framework (DRF). Architect and ship full-stack features end-to-end: REST endpoints and serializers on the backend, and the corresponding React + Vite screens that consume them. Develop and integrate RESTful APIs for seamless communication between the React SPA, internal microservices, and third-party providers (LLMs, payments, OAuth, re CAPTCHA). Build and maintain the React frontend with Redux Toolkit, Tan Stack Query, React Router, React Hook Form + Zod, and Tailwind/Headless UI, paying attention to performance (memoization, code splitting, lazy loading) and accessibility. Implement real-time delivery patterns - Server-Sent Events (SSE), Redis-backed status polling, and ASGI endpoints - knowing when to use each and how to handle reconnects, retries, and cleanup. Contribute to automated data extraction and content parsing from web pages and online sources using requests/httpx/aiohttp, Beautiful Soup4, lxml, and curl_cffi. Work with proxy management for high-volume HTTP clients Apply multithreading, async I/O, and Celery task orchestration (Rabbit MQ broker, retries, idempotency) to handle concurrent operations and long-running pipelines reliably. Design and optimize Postgre SQL schemas and queries, including indexes, constraints, and Django signals. Add and tune caching layers with Redis (django-redis) - TTL strategies, pipeline writes, and cache invalidation to reduce load and latency. Lead the full software lifecycle: scope, design, implement, test, deploy, and monitor; keep architecture docs in sync with the code. Implement security best practices: OWASP Top 10, http Only-cookie JWT with silent refresh, delegation/impersonation auth, CSRF/CORS, brute-force protection, input validation, secrets management, and rate limiting. Integrate multi-provider LLM workflows (Open AI, Anthropic Claude, Google Gemini), including streaming responses, token accounting, and model fallback. Collaborate with frontend, data, and ops counterparts to integrate dashboards (Apex Charts, Tan Stack Table, @dnd-kit, ExcelJS) with backend services and microservices. Own deployment and operations: Docker / docker-compose, Gunicorn/Uvicorn + Nginx, Git Hub Actions CI/CD, zero-downtime releases, monitoring, and rollback. Write clean, maintainable code with proper documentation, and ship every feature/bugfix with meaningful automated tests.<br>Qualifications Bachelor's in Computer Science, Software Engineering, or a related field. Minimum 2 years of professional full-stack experience shipping production systems with Django/DRF on the backend and React on the frontend. In-depth experience with Django and DRF: ORM, signals, middleware, ASGI, custom authentication, throttling, pagination, versioning, and admin customization. Strong React skills with Vite, React Router, Redux Toolkit, Tan Stack Query, React Hook Form + Zod, Tailwind CSS, Headless UI, Apex Charts, and Tan Stack Table. Hands-on experience with real-time UI via SSE/Event Source (retries, backoff, terminal status handling, reconnects) and Axios interceptors for silent token refresh, CSRF, and rate-limit handling. Proven track record designing, developing, and deploying scalable Django applications in production, ideally in multi-service architectures. Strong proficiency in Postgre SQL schema design, indexing, and query optimization. Familiarity with Duck DB/Parquet for columnar analytics is a plus. Solid Linux fundamentals. Experience with message brokers (Rabbit MQ/Redis) and Celery - scheduling, retries, idempotency, and monitoring of long-running pipelines. Production ops experience: Docker, docker-compose, Gunicorn/Uvicorn, Nginx, secrets management, and observability with Prometheus, Open Telemetry, Grafana, Loki, and Tempo. Familiarity with HTTP protocols, parsing structured data (HTML, XML, JSON, Excel), and resilience patterns (retries, exponential backoff). Hands-on integration with LLM providers (Open AI, Anthropic, Gemini): streaming, structured output, and token/cost accounting. Testing discipline across both stacks: pytest + pytest-django + factory-boy on the backend, Vitest + React Testing Library + MSW + jest-axe for unit/integration, and Playwright for E2E. Strong understanding of software design patterns, SOLID principles, and clean architecture, applied without over-engineering. Strong problem-solving skills and meticulous attention to detail. Experience with Git, conventional commits, code review, Git Hub Actions CI/CD, and agile methodologies.<br>Bonus Experience with Fast API microservices and aio-pika async Rabbit MQ consumers. Familiarity with Min IO / S3-compatible storage via django-storages. Experience with Google OAuth, re CAPTCHA, and payment gateway integrations. Prior work on data-intensive Saa S platforms with heavy async pipelines and real-time dashboards.

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a backend engineer to design and deliver next-generation automation solutions powered by artificial intelligence and generative AI. The role focuses on developing Python-driven, cloud-native systems that integrate enterprise platforms, APIs, and large language models to solve complex business challenges at scale. The individual will contribute to shaping automation architecture, supporting AI adoption, and ensuring solutions are secure, scalable, and production-ready.</p> <h4>What you'll do</h4> <li>Design, build, and optimise Python-based solutions with a focus on scalability and reliability</li> <li>Develop AI-powered automation solutions that combine traditional automation with GenAI and LLM capabilities</li> <li>Build and expose secure, reusable APIs to enable integration across enterprise systems</li> <li>Collaborate with cross-functional teams, including AI specialists, to develop automation architectures</li> <li>Apply system design principles to ensure modular, scalable, and maintainable solutions</li> <li>Leverage enterprise automation tools to orchestrate workflows and embed AI into business processes</li> <li>Provide technical guidance and contribute to the adoption of best practices in Python and AI-led automation</li> <li>Stay updated on advancements in AI, cloud technologies, and automation trends, contributing to innovation initiatives</li> <h4>Who you are</h4> <li>Experience in Python development for automation and AI solutions (3-6 years of experience)</li> <li>Hands-on exposure to LLMs, prompt engineering, fine-tuning, and inference optimisation</li> <li>Strong knowledge of API design and integration within enterprise or cloud environments</li> <li>Experience building cloud-native solutions using platforms such as AWS or GCP</li> <li>Familiarity with Python frameworks such as FastAPI or LangChain</li> <li>Solid understanding of system design, cloud architecture, and scalability patterns</li> <li>Experience with automation or orchestration tools is advantageous</li> <li>Strong problem-solving abilities and the capability to collaborate with diverse teams</li> <li>Experience supporting or mentoring peers is considered beneficial</li> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <li>Opportunity to work on cutting-edge AI and generative AI solutions at scale</li> <li>Exposure to global projects across Vodafone markets and partner ecosystems</li> <li>A collaborative environment that supports continuous learning and innovation</li> <li>Opportunities to contribute to technical strategy, architecture, and transformation initiatives</li> <li>Access to mentorship, knowledge sharing, and cross-functional collaboration</li> <h4>What skills you will learn</h4> <li>Advanced implementation of AI and LLM-based automation solutions</li> <li>Cloud-native architecture and scalable backend engineering practices</li> <li>API development and enterprise system integration</li> <li>Automation orchestration and workflow optimisation</li> <li>Innovation practices in AI-driven transformation and digital automation</li> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone careers website to avoid job scams and fraud.</p></p><p></p>

<p><h4>Who we are</h4> <p><strong>VOIS (Vodafone Intelligent Solutions)</strong> is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a Senior Full Stack Software Engineer with strong Java experience and a React.js background to contribute to the development of scalable, high-quality applications. This role is suited to an individual who enjoys owning features end to end, values clean and testable code, and collaborates effectively within cross-functional, agile teams. The role follows a hybrid working model and is part of a ramp-up initiative within the technology function.</p> <h4>What you'll do</h4> <ul> <li>Design, develop and deliver advanced full stack applications using Java and React.js.</li> <li>Own medium-to-large features from technical design through to completion and deployment.</li> <li>Review code written by peers to ensure quality, consistency and maintainability.</li> <li>Write and execute unit tests, applying mocking techniques where appropriate.</li> <li>Troubleshoot and resolve defects raised by customers or testing teams.</li> <li>Produce clear technical documentation for developed components and features.</li> <li>Improve team productivity by creating reusable components, templates and automated solutions.</li> <li>Contribute to open-source components on behalf of the team, where applicable.</li> <li>Participate in recruitment activities as a technical interviewer.</li> <li>Work within platform constraints and contribute to sound system design decisions.</li> </ul> <h4>Who you are</h4> <ul> <li>You bring 4–6 years of professional software development experience.</li> <li>You have strong hands-on experience with React.js and related ecosystem tools such as Redux, Saga middleware and service workers.</li> <li>You have a solid foundation in Java or are motivated to deepen your expertise in Java-based development.</li> <li>You demonstrate a deep understanding of object-oriented and functional programming principles.</li> <li>You are experienced in unit testing, mocking frameworks, and code quality practices.</li> <li>You are comfortable working with RESTful APIs, JSON and third-party libraries.</li> <li>You have working knowledge of system design fundamentals and performance optimisation techniques.</li> <li>You are familiar with tooling such as linting tools, SonarQube, Webpack configuration, lazy loading and Progressive Web Applications (PWA).</li> <li>You collaborate effectively as a team member, communicate clearly, and contribute positively to team leadership and engagement.</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Exposure to complex, enterprise-scale technology platforms within a global organisation.</li> <li>Opportunities to work in agile, collaborative teams with a strong focus on quality and learning.</li> <li>Access to structured training programmes and professional certifications.</li> <li>Clear development pathways and potential promotion opportunities in line with HR mobility policies.</li> <li>A hybrid working model that supports flexibility and wellbeing.</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced full stack design patterns across React.js and Java ecosystems.</li> <li>Scalable system design and performance tuning techniques.</li> <li>Modern testing strategies and quality engineering practices.</li> <li>Open-source contribution practices within an enterprise context.</li> <li>Technical interviewing and mentoring skills.</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <p>#VOIS #BeUnrivalled #CreateTheFuture</p> <h4>About this role</h4> <h4>What you’ll do</h4> <h4>Who you are</h4> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <h4>What skills you will learn</h4> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p> <p>#JDEnhancedByTARA</p> <p>Follow us on social media</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Luxoft is a global software services company delivering professional solutions across sectors such as Finance, Automotive, and Digital Transformation. We are establishing a new team focused on developing and enhancing Android Framework components, specifically SystemUI and Homescreen, for our client's In-Vehicle Android Infotainment (IVI) systems. The team aims to understand user interactions with information and vehicle infrastructure to shape the future IVI experience for 2026 and beyond. Recognizing software as a key driver of innovation and differentiation in automotive environments, we build a software foundation that leverages open-source technologies in alignment with their communities. Our approach incorporates modern continuous integration and continuous delivery practices, extending deployment directly into the vehicle. The project follows agile principles and is scaled across a large, multi-hundred-person team. Through combining advanced technologies, agile methodologies, and a commitment to optimal solutions, we collaborate with our OEM partner to define the future of IVI systems. Responsibilities Collaborate within an end-to-end (E2E) team alongside system engineers, product owners, designers, backend teams, and QA. Implement, test, and refine new features for the existing Android Automotive application stack. Work with Product Managers and UI/UX designers to translate requirements into technical solutions that integrate with the current architecture. Diagnose, troubleshoot, and resolve software defects, bugs, and performance issues promptly. Maintain and enhance codebase health through regular refactoring and optimization. Skills Must have This role requires advanced expertise in Android development, demonstrated by a proven track record of delivering successful applications. The candidate must apply strong technical skills to develop and maintain robust mobile solutions. Hard skills: Expert knowledge of Kotlin and Java programming and comprehensive familiarity with the Android SDK. Proficient in Android Architecture Components such as Lifecycle and ViewModel, along with implementation of design patterns including MVVM, MVI, Clean Architecture, and SOLID principles. Extensive experience with the Android Framework, covering services (foreground/background), ContentProviders, IPC mechanisms (Binder, AIDL, Messenger, Intents/Broadcasts), and the permissions model including runtime and privileged permissions. Solid understanding of Android system aspects such as process lifecycle, memory management, out-of-memory behavior, ActivityManagerService, app sandboxing, and security fundamentals. Skilled in log analysis using logcat, performance profiling, and the use of debugging tools. Practical experience with Android Studio, Gradle build system, and Git version control. Familiarity with Linux internals, basic shell operations, SELinux policy, and system-level concepts pertinent to embedded devices. Experience with Android Automotive OS, including AAOS application models, HMI constraints, and Car APIs. Soft skills: Ability to troubleshoot complex system-level and application issues methodically. Effective use of technical tools and resources for performance optimization and debugging. Capability to understand and adapt to platform-specific constraints and requirements. Nice to have Previous experience with Android Automotive Operating System (AAOS) and Android Open-Source Project (AOSP) frameworks: Demonstrated familiarity with these platforms is beneficial for understanding their structure and development processes. Spanish language proficiency: Ability to communicate in Spanish is an optional asset for enhanced collaboration in relevant contexts. Other Languages English: B2 Upper Intermediate Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Lead the design and implementation of enterprise Data Management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Lead enterprise Data Management and Data Governance initiatives. </li><li>Develop Data Governance Frameworks, Policies, Standards, and Procedures. </li><li>Define data ownership, stewardship, and accountability models. </li><li>Establish Data Quality frameworks, KPIs, and monitoring processes. </li><li>Design Metadata Management and Business Glossary structures. </li><li>Develop Master Data Management (MDM) strategies. </li><li>Support Data Catalog implementation and governance. </li><li>Define Data Lifecycle Management processes. </li><li>Develop Data Classification and Data Retention policies. </li><li>Assess current-state data maturity and recommend improvements. </li><li>Conduct data governance workshops with business stakeholders. </li><li>Support implementation of governance tools and platforms. </li><li>Ensure compliance with local and international regulations. </li><li>Prepare executive reports, dashboards, and governance metrics. </li><li>Mentor Data Management Specialists. </li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Data Pipeline Development &amp; Infrastructure Design</strong></p><ul><li>Build, and maintain scalable data pipelines</li><li>Develop real-time and batch data processing frameworks for structured and unstructured data.</li><li>Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance .</li><li>Optimize data storage and retrieval of data in (near) real time and batch processes</li><li>Ensure cost-efficient and high-performance data infrastructure that scales with business needs.</li></ul><p><strong>Data Solutions &amp; AI-Driven Applications</strong></p><ul><li>Develop data pipelines for ML recommenders, search functionality, and AI-enhanced features .</li><li>Develop and maintain data models, APIs, and integrations to support analytics and customer applications.</li><li>Support eCommerce-related data solutions , including product recommendations, customer segmentation, and personalization models.</li></ul><p><strong>Collaboration &amp; Continuous Improvement</strong></p><ul><li>Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions.</li><li>Monitor and troubleshoot performance issues , ensuring high availability and efficiency of data pipelines.</li><li>Continuously optimize cost, performance, and scalability of data engineering solutions.</li></ul><p>At Sana Commerce we're committed to an inclusive environment and recognize that our diverse work orce is one of our greatest strengths. It all started in 2007, with a pizza and a plan. Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them. We re a fast-growing SaaS company that allows you to take ownership of your career. We are looking for a Senior Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure . You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, and contribute to AI/ML-powered solutions that drive internal decision-making and customer-facing insights. This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL . You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences .</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ years of experience as a Data Engineer , working with Apache Spark or bySpark.</li><li>Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing .</li><li>Experience in big data technologies, and large-scale data storage .</li><li>Familiarity with data governance, security, and compliance best practices and tools</li><li>Proficiency in Python, and SQL, for data transformation, data quality and automation.</li><li>Strong experience in optimizing data performance and cost-efficiency in cloud environments .</li><li><strong>Nice to Have</strong></li><li>Experience with eCommerce data solutions , such as customer segmentation, recommendation engines, and personalization models.</li><li>Knowledge of event-driven architectures, streaming data processing, and real-time analytics .</li><li>Familiarity with LLM-based AI applications and OpenAI or similar APIs .</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As <strong>Sr Data Engineer</strong> you will drive the design, deployment, and continuous optimization of scalable data pipelines that ingest and process a wide variety of structured and unstructured data sources into Mondia’s AWS-based data warehouse and data lake.</p><br><p>Implement and maintain reliable data ingestion, transformation, orchestration, monitoring, and CI/CD capabilities across the data platform. Promote operational excellence through automation, GitLab pipelines, Infrastructure as Code, observability, and robust engineering standards.</p><br><p>Ensure that high-quality, secure, and well-governed data is available for reporting, advanced analytics, and AI- and machine-learning-enabled use cases across Mondia’s business entities.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As Sr Data Engineer you will drive the design, deployment, and continuous optimization of scalable data pipelines that ingest and process a wide variety of structured and unstructured data sources into Mondia’s AWS-based data warehouse and data lake.<br> Implement and maintain reliable data ingestion, transformation, orchestration, monitoring, and CI/CD capabilities across the data platform.<br> Promote operational excellence through automation, GitLab pipelines, Infrastructure as Code, observability, and robust engineering standards.<br> Ensure that high-quality, secure, and well-governed data is available for reporting, advanced analytics, and AI- and machine-learning-enabled use cases across Mondia’s business entities.<br> Social insurance Health insurance for employee and family The company will contribute up to EUR 25 per month towards staff perks Benefit from our performance-based bonus scheme , in line with company policy.<br> EUR equivalent salaries paid in EGP Responsibilities: Collaborate with data engineers, data analysts, product and web analytics teams, software engineers, and business stakeholders in a collaborative and iterative environment.<br> Provide technical guidance and contribute to the definition of data architecture, engineering standards, and reusable solutions across Mondia’s data ecosystem.<br> Design and maintain the data foundations required to deliver reliable internal data products, including well-defined datasets, data sources, dashboards, reports, and analytical solutions.<br> Contribute as a senior member of the team to the reliable operation, performance, scalability, and cost efficiency of Mondia’s AWS-based data platform, including Amazon Redshift, Athena, AWS Glue, Amazon S3, Step Functions, Lambda, EC2, and related AWS services.<br> Design, build, test, deploy, monitor, and maintain end-to-end data pipelines and data management solutions using AWS Glue, Python, SQL, Spark/PySpark, and similar cloud-based ETL and data-processing technologies.<br> Design and implement data models, schemas, tables, and storage structures across Amazon Redshift, Amazon S3, and the wider AWS data platform.<br> Design and maintain orchestration patterns, workflows, event-driven components, and scheduling solutions using AWS Step Functions, AWS Glue Workflows, Amazon EventBridge, AWS Lambda, and similar technologies.<br> Promote operational excellence through automation, GitLab CI/CD, Infrastructure as Code, observability, testing, documentation, and consistent engineering practices.<br> Define, implement, and continuously improve automated data-quality and reliability controls, including checks for completeness, accuracy, consistency, validity, duplication, freshness, and reconciliation.<br> Maintain appropriate data lineage, metadata, technical documentation, and ownership information to improve transparency, trust, and maintainability.<br> Use appropriate programming languages, integration patterns, and engineering tools to connect systems and deliver reliable data solutions.<br> Evaluate technologies based on the use case and adapt as platforms and requirements evolve.<br> Use approved AI technologies and AI-assisted development tools as part of daily engineering activities to improve productivity, code quality, testing, documentation, troubleshooting, and solution design.<br> Identify opportunities to integrate AI capabilities into data products where they provide measurable business or operational value.<br> Communicate technical concepts, results, risks, and recommendations clearly to both technical and non-technical stakeholders across all levels of the organization.<br> Document architectures, data flows, design decisions, operational procedures, and technical standards, while contributing constructively to technical discussions and engineering decisions.<br> Comply with Mondia’s policies, procedures, security requirements, and data-governance standards, while supporting the company’s mission, vision, and values.<br> Perform other reasonable job-related duties and responsibilities as assigned by the direct manager.<br> Bachelor’s degree in Computer Science/Engineering or Statistics.<br> Skills &amp; Experience: +3 years of professional experience in Data Engineering or Data Warehousing with an integrative perspective, from management to operations involvement and hands-on experience with cloud architecture and cloud technologies such as AWS, Azure or Google Cloud Platform GCP.<br> Strong proficiency in Python and SQL; experience with Scala, Java, or Bash/Shell scripting is an advantage.<br> Solid experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, Lambda, Step Functions, and EventBridge.<br> Strong understanding of data warehouse, data lake, ETL/ELT, data modelling, and cloud data architecture concepts.<br> Experience building and operating scalable data pipelines using AWS Glue, Spark/PySpark, or similar technologies.<br> Good understanding of cloud security, identity and access management, data protection, monitoring, and logging.<br> Experience with APIs, microservices, and event-driven integration patterns.<br> Working knowledge of GitLab CI/CD, automation, Infrastructure as Code, and modern software engineering practices.<br> Experience using AI-assisted development tools to improve engineering productivity and quality.<br> Very good written and spoken English, with strong technical documentation and communication skills.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize specialized tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>Your primary responsibilities will include:</p><br><br><p>* <strong>Design Data Integration Solutions:</strong> Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.</p><br><br><p>* <strong>Implement ETL Processes:</strong> Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>* <strong>Utilize Specialized Tools:</strong> Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions.</p><br><br><p>* <strong>Ensure Seamless Data Flow:</strong> Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing effective ETL processes.</p><br><br><p>* <strong>Support Business Intelligence:</strong> Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>* <strong>Exposure to Data Integration Tools:</strong> Familiarity with tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite.</p><br><br><p>* <strong>ETL Process Implementation:</strong> Experience working with Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>* <strong>Data Solution Design:</strong> Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment.</p><br><br><p>* <strong>Business Intelligence Environment:</strong> Experience working within a business intelligence environment, supporting data integration solutions.</p><br><br><p>* <strong>Data Flow Management:</strong> Exposure to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* <strong>Additional Data Integration Tools:</strong> Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage can be beneficial in this role.</p><br><br><p>* <strong>Advanced ETL Techniques:</strong> Experience working with advanced ETL techniques and methodologies can enhance the ability to design and implement efficient data integration solutions.</p><br><br><p>* <strong>Business Intelligence Platforms:</strong> Familiarity with various business intelligence platforms can support the development of effective data integration solutions.</p><br><br> <br> <br> <br> <br> <br> </div>

<ul><li><p>Entering data from source documents within time limits</p></li><li><p>Compiling, verifying accuracy and sorting information to prepare source data for computer entry</p></li><li><p>Reviewing data for deficiencies or errors, correcting any incompatibilities and checking the output</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Presentable.</p></li><li><p>Bachelor Degree</p></li><li><p>Communication Skills</p></li><li><p>Good command of English language.</p></li><li><p>Familiarity with administrative duties</p></li><li><p>Experience with MS Office and data programs</p></li><li><p>Proven data entry work experience, as a Data entry operator or Office clerk</p></li><li><p>Fast typing skills</p></li><li><p>1-2 year experience</p></li><li><p>Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Develop and implement the data engineering strategy in line with our business objectives and industry best practices Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement Collaborate with the Data Architect to design, build, and optimize data infrastructure, ensuring it is scalable, secure, and performant Work closely with other engineering managers to ensure seamless data integration and accessibility for analytics and business intelligence initiatives Establish and enforce data engineering standards, guidelines, and best practices across the organization Identify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data team Collaborate with cross-functional teams to identify data requirements and support data-driven projects Monitor and maintain the health and performance of mylo's data ecosystem, proactively identifying and addressing any issues Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.<br> Flexibility: You know best whether you want to work from home or in the office.<br> Equipment: From "Day 1" you will receive all the equipment you need be successful at work.<br> Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role Strong knowledge of data science tools, technologies, and best practices, including data warehousing, ETL, and data pipelines Proficiency in programming languages such as Python, Java, or Scala Experience with big data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud-based data solutions (AWS, Azure, or Google Cloud) Exceptional problem-solving, communication, and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As Sr Data Engineer you will drive the design, deployment, and continuous optimization of scalable data pipelines that ingest and process a wide variety of structured and unstructured data sources into Mondia s AWS-based data warehouse and data lake. Implement and maintain reliable data ingestion, transformation, orchestration, monitoring, and CI/CD capabilities across the data platform. Promote operational excellence through automation, GitLab pipelines, Infrastructure as Code, observability, and robust engineering standards. Ensure that high-quality, secure, and well-governed data is available for reporting, advanced analytics, and AI- and machine-learning-enabled use cases across Mondia s business entities. Responsibilities: Collaborate with data engineers, data analysts, product and web analytics teams, software engineers, and business stakeholders in a collaborative and iterative environment. Provide technical guidance and contribute to the definition of data architecture, engineering standards, and reusable solutions across Mondia s data ecosystem. Design and maintain the data foundations required to deliver reliable internal data products, including well-defined datasets, data sources, dashboards, reports, and analytical solutions. Contribute as a senior member of the team to the reliable operation, performance, scalability, and cost efficiency of Mondia s AWS-based data platform, including Amazon Redshift, Athena, AWS Glue, Amazon S3, Step Functions, Lambda, EC2, and related AWS services. Design, build, test, deploy, monitor, and maintain end-to-end data pipelines and data management solutions using AWS Glue, Python, SQL, Spark/PySpark, and similar cloud-based ETL and data-processing technologies. Design and implement data models, schemas, tables, and storage structures across Amazon Redshift, Amazon S3, and the wider AWS data platform. Design and maintain orchestration patterns, workflows, event-driven components, and scheduling solutions using AWS Step Functions, AWS Glue Workflows, Amazon EventBridge, AWS Lambda, and similar technologies. Promote operational excellence through automation, GitLab CI/CD, Infrastructure as Code, observability, testing, documentation, and consistent engineering practices. Define, implement, and continuously improve automated data-quality and reliability controls, including checks for completeness, accuracy, consistency, validity, duplication, freshness, and reconciliation. Maintain appropriate data lineage, metadata, technical documentation, and ownership information to improve transparency, trust, and maintainability. Use appropriate programming languages, integration patterns, and engineering tools to connect systems and deliver reliable data solutions. Evaluate technologies based on the use case and adapt as platforms and requirements evolve. Use approved AI technologies and AI-assisted development tools as part of daily engineering activities to improve productivity, code quality, testing, documentation, troubleshooting, and solution design. Identify opportunities to integrate AI capabilities into data products where they provide measurable business or operational value. Communicate technical concepts, results, risks, and recommendations clearly to both technical and non-technical stakeholders across all levels of the organization. Document architectures, data flows, design decisions, operational procedures, and technical standards, while contributing constructively to technical discussions and engineering decisions. Comply with Mondia s policies, procedures, security requirements, and data-governance standards, while supporting the company s mission, vision, and values. Perform other reasonable job-related duties and responsibilities as assigned by the direct manager.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science/Engineering or Statistics. Skills &amp; Experience: +3 years of professional experience in Data Engineering or Data Warehousing with an integrative perspective, from management to operations involvement and hands-on experience with cloud architecture and cloud technologies such as AWS, Azure or Google Cloud Platform GCP. Strong proficiency in Python and SQL; experience with Scala, Java, or Bash/Shell scripting is an advantage. Solid experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, Lambda, Step Functions, and EventBridge. Strong understanding of data warehouse, data lake, ETL/ELT, data modelling, and cloud data architecture concepts. Experience building and operating scalable data pipelines using AWS Glue, Spark/PySpark, or similar technologies. Good understanding of cloud security, identity and access management, data protection, monitoring, and logging. Experience with APIs, microservices, and event-driven integration patterns. Working knowledge of GitLab CI/CD, automation, Infrastructure as Code, and modern software engineering practices. Experience using AI-assisted development tools to improve engineering productivity and quality. Very good written and spoken English, with strong technical documentation and communication skills.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize specialized tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>Your primary responsibilities will include:</p><br><br><p>* <strong>Design Data Integration Solutions:</strong> Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.</p><br><br><p>* <strong>Implement ETL Processes:</strong> Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>* <strong>Utilize Specialized Tools:</strong> Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions.</p><br><br><p>* <strong>Ensure Seamless Data Flow:</strong> Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing effective ETL processes.</p><br><br><p>* <strong>Support Business Intelligence:</strong> Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>* <strong>Exposure to Data Integration Tools:</strong> Familiarity with tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite.</p><br><br><p>* <strong>ETL Process Implementation:</strong> Experience working with Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>* <strong>Data Solution Design:</strong> Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment.</p><br><br><p>* <strong>Business Intelligence Environment:</strong> Experience working within a business intelligence environment, supporting data integration solutions.</p><br><br><p>* <strong>Data Flow Management:</strong> Exposure to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* <strong>Additional Data Integration Tools:</strong> Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage can be beneficial in this role.</p><br><br><p>* <strong>Advanced ETL Techniques:</strong> Experience working with advanced ETL techniques and methodologies can enhance the ability to design and implement efficient data integration solutions.</p><br><br><p>* <strong>Business Intelligence Platforms:</strong> Familiarity with various business intelligence platforms can support the development of effective data integration solutions.</p><br><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br> <strong><span>About the Role</span></strong> <p><span>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <br><br><p><b>About the team</b></p><br><p><span>The Data Analytics team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</span></p><br> <br><br><p><b>Responsibilities</b></p><br><ul> <li><ul> <li> <p><span>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</span></p><br> </li> <li> <p><span>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</span></p><br> </li> <li> <p><span>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</span></p><br> </li> <li> <p><span>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</span></p><br> </li> <li> <p><span>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</span></p><br> </li> <li> <p><span>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</span></p><br> </li> <li> <p><span>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</span></p><br> </li> <li> <p><span>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</span></p><br> </li> <li> <p><span>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</span></p><br> </li> <li> <p><span>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</span></p><br> </li> </ul><br></li></ul><br><p><b>Requirments</b></p><br><span>Essential</span> <ul> <li> <p><span>2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</span></p><br> </li> <li> <p><span>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</span></p><br> </li> <li> <p><span>Proficiency in Python for data analysis, statistical modeling, and data visualization.</span></p><br> </li> <li> <p><span>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</span></p><br> </li> <li> <p><span>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</span></p><br> </li> <li> <p><span>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</span></p><br> </li> <li> <p><span>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</span></p><br> </li> <li> <p><span>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</span></p><br> </li> <li> <p><span>Strong problem-solving, analytical thinking, and attention to detail.</span></p><br> </li> <li> <p><span>Excellent written and verbal communication skills in English.</span></p><br> </li> </ul><span>Nice to have</span> <ul> <li> <p><span>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</span></p><br> </li> <li> <p><span>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</span></p><br> </li> <li> <p><span>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</span></p><br> </li> </ul><strong><span>Join the ride!</span></strong> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize various tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>Your primary responsibilities will include:</p><br><br><p>* <strong>Assist with ETL Process Development:</strong> Learn to create and implement ETL processes using tools such as Informatica, Ab Initio software, and DataStage. Observe and participate in designing solutions to transfer data from operational and external environments to the business intelligence environment.</p><br><br><p>* <strong>Explore Data Integration Tools:</strong> Familiarize yourself with tools like Informatica, Ab Initio software, and DataStage, and understand their applications in data integration.</p><br><br><p>* <strong>Support Seamless Data Flow:</strong> Contribute to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle by assisting in the implementation of ETL processes.</p><br><br><p>* <strong>Learn Business Intelligence Solutions:</strong> Engage with the team to gain knowledge of business intelligence solutions and understand how data integration contributes to the overall solution.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>* <strong>Exposure to ETL Processes:</strong> Basic understanding of Extract, Transform, and Load (ETL) processes and their role in data integration.</p><br><br><p>* <strong>Familiarity with Data Integration Tools:</strong> Interest in learning tools such as Informatica, Ab Initio software, and DataStage, and their applications in data integration.</p><br><br><p>* <strong>Basic Understanding of Business Intelligence:</strong> Curiosity about business intelligence solutions and the importance of data integration in the overall solution.</p><br><br><p>* <strong>Data Flow Fundamentals:</strong> Basic understanding of the concepts involved in ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>* <strong>Interest in Data Environment:</strong> Exposure to operational and external data environments and their relationship with business intelligence environments.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* <strong>Data Integration Tools Knowledge:</strong> Familiarity with additional data integration tools beyond Informatica, Ab Initio software, and DataStage is beneficial.</p><br><br><p>* <strong>Business Intelligence Solution Exposure:</strong> Exposure to various business intelligence solutions and their applications can be advantageous.</p><br><br> <br> <br> <br> <br> <br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Overview</b></p><p>We are seeking a skilled Data Security &amp; Privacy Engineer with 3 11+ years of experience to design, implement, and manage enterprise data security and privacy solutions. The ideal candidate will have strong expertise in identity and access management, data protection technologies, encryption, security monitoring, and privacy controls across cloud environments. This role will be responsible for ensuring the confidentiality, integrity, and availability of enterprise data while supporting regulatory compliance and security best practices.</p><p>Key Responsibilities</p><ul><li>Design and implement data security and privacy controls across enterprise environments.</li><li>Manage identity and access management (IAM) solutions across cloud platforms.</li><li>Implement data protection strategies including encryption, masking, and data loss prevention.</li><li>Configure and manage security monitoring and threat detection solutions.</li><li>Support security assessments, audits, and compliance initiatives.</li><li>Define and enforce data security policies, standards, and best practices.</li><li>Collaborate with cloud, infrastructure, application, and data teams to secure enterprise data assets.</li><li>Monitor security events, investigate incidents, and support remediation activities.</li><li>Implement secure data handling practices throughout the data lifecycle.</li><li>Support privacy initiatives including sensitive data discovery, classification, and protection.</li><li>Continuously evaluate emerging security threats and recommend improvements.</li></ul><p>Required Technical Skills</p><p>Identity &amp; Access Management (IAM)</p><ul><li>Hands-on experience with GCP IAM or Azure IAM or AWS IAM .</li><li>Strong understanding of identity governance, authentication, authorization, roles, permissions, and access controls.</li><li>Experience implementing least privilege access models and access management best practices.</li></ul><p>Data Protection &amp; Privacy</p><ul><li>Experience with Data Loss Prevention (DLP) solutions.</li><li>Strong understanding of data classification, sensitive data protection, and privacy controls.</li><li>Experience implementing data security policies and compliance requirements.</li></ul><p>Encryption &amp; Key Management</p><ul><li>Strong experience with Encryption and Key Management Services (KMS) .</li><li>Knowledge of encryption standards, key lifecycle management, certificate management, and cryptographic best practices.</li><li>Experience securing data at rest, in transit, and during processing.</li></ul><p>Data Masking &amp; Protection</p><ul><li>Experience implementing Data Masking techniques for protecting sensitive information.</li><li>Understanding of tokenization, anonymization, and privacy-enhancing technologies.</li></ul><p>Security Monitoring &amp; SIEM</p><ul><li>Hands-on experience with Splunk or Microsoft Sentinel for security monitoring and incident detection.</li><li>Experience analyzing security events, alerts, logs, and threat intelligence data.</li><li>Knowledge of SIEM use cases, dashboards, and security investigations.</li></ul><p>Qualifications</p><ul><li>Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field.</li><li>3 11+ years of experience in Data Security, Cloud Security, Information Security, or Privacy Engineering.</li><li>Strong understanding of cloud security principles and enterprise security architecture.</li><li>Excellent analytical, troubleshooting, and communication skills.</li><li>Experience working with cross-functional security and technology teams.</li></ul><p>Preferred Skills</p><ul><li>Experience with cloud security frameworks and compliance standards.</li><li>Knowledge of privacy regulations and data protection requirements.</li><li>Familiarity with security automation and incident response processes.</li><li>Experience securing data platforms, analytics environments, and cloud-native applications.</li><li>Security certifications such as CISSP, CCSP, Security+, or cloud security certifications are a plus.</li></ul><p>Key Technology Stack</p><ul><li>Cloud IAM: GCP IAM or Azure IAM or AWS IAM</li><li>Data Protection: DLP and Data Classification and Privacy Controls</li><li>Encryption &amp; Security: Encryption and KMS and Key Lifecycle Management</li><li>Data Privacy: Data Masking and Tokenization and Sensitive Data Protection</li><li>Security Monitoring: Splunk or Microsoft Sentinel</li><li>Security Operations: SIEM Monitoring and Threat Detection and Incident Response</li><li>Cloud Security: Cloud Security Controls and Access Governance and Compliance Management</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field.</p><p>3 11+ years of experience in Data Security, Cloud Security, Information Security, or Privacy Engineering.</p><p>Strong understanding of cloud security principles and enterprise security architecture.</p><p>Excellent analytical, troubleshooting, and communication skills.</p><p>Experience working with cross-functional security and technology teams.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role &amp; Team</p><p>IDC is seeking a Data Analyst to join our SW Data team , motivated to learn about the Software domain, market research and data analysis, to join our Software Data team. If you are passionate about technology, eager to explore market trends, and ready to develop your analytical and technical skills, we offer the perfect platform for your professional growth. Our team is committed to nurturing talent, providing extensive training, and supporting long-term career development.</p><p>What You ll Do</p><ul><li>Market Research: Conduct primary and secondary research focused on the software market.</li><li>Industry Analysis: Support and deliver industry and technology research for qualitative and data-focused products in a global team.</li><li>Data Management: Engage in data management, transformation, and modelling. Develop your skills in data visualization to turn complex information into actionable insights. Utilize quantitative tools for market sizing and forecasting.</li><li>Consulting Support: Assist in specific consulting projects, contributing to bespoke client solutions.</li><li>Industry Expertise: Develop and maintain thorough knowledge of vendor strategies and key market dynamics within key Software areas.</li><li>Collaboration: Work with regional and global teams to leverage diverse perspectives.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2+ years of experience in market research, data analytics, or other relevant experience</li><li>Bachelor's degree in Economics, Statistics, Information Sciences, Social Sciences, or a related field</li><li>Strong analytical thinking with a creative approach to problem-solving and data analysis</li><li>Strong English written and verbal communication skills</li><li>Advanced Microsoft Excel skills required; proficiency in Power BI are a plus</li><li>Familiarity and interest in growing expertise with GenAI tools</li><li>Ability to use Python for data analysis is a plus</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.</p><p>What You ll Do</p><p>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions.</p><p>What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients.</p><p>What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes.</p><p>Who You ll Work With</p><p>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth.</p><p>The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients.</p><p>Who the position reports to: This position reports to the Data Science Team Manager.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum of 5 years of experience in data science or analytics.</li><li>Proficiency in programming languages such as Python and SQL.</li><li>Strong understanding of statistical methods and machine learning techniques.</li><li>Proficiency in advanced deep learning algorithms and GenAI</li><li>Excellent communication and presentation skills.</li></ul><p></p></section>