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Overview<br><br>Execute day to day master data maintenance processes through all MDM tools across various ERP systems including Pepsi Co’s current SAP ECC PIRT & future SAP MDG and S/4 HANA applications and local legacy system Process the master data requests coming from different tools (SAP WF, Service Now, mail-box and other), master data standard review, communicating with business requestors, etc. Material MDM process Coordinate E2E MDM processes Execute Data Quality requirements<br><br>Responsibilities<br><br>Level 1 contact for Materials requests from business and GBS for any queries related to MDM requests Data maintenance and approver for all master data requests through all MDM tools (SAP WF, SN, MDG and other) to make sure the information is accurate and aligned with all controls and compliance procedures for below processes:Master data maintenance creation/modification/blocking/archiving for:Materials Provide 1st line support on data quality issues Support Master Data Quality and involving business stakeholders on error correction Data extraction & maintain regular MDM reports through common tools (Share Point, Teams or other) Conduct regular MDM training programs for end users and GBS teams Drive resolution of issues with data standards or conflicting requirements, working closely with business stakeholders, DMO MENA Material Champion & DMO Materials Lead Support business users on troubleshooting data errors and/or clean up data based on data quality reports Communicate status of open workflow requests to stakeholders & DMO leads and note follow-ups or issues encountered. Basic knowledge of formal data governance practices and ability to conduct root cause analysis and see connections between data and processes Ensure Global and local DQ requirements per the Materials domain are being followed in the WF and other type of requests Build relationship with sectors thru SLAs, governance and escalation Identify opportunities for future efficiency/standardization<br><br>Qualifications<br><br>Bachelor’s degree or equivalent international qualification0-1 year of experience in Master data management or related experience, especially in Materials master data System implementation, testing & baseline support experience (as a plus) Experience in service center (as a plus) Experience in Fast Moving Consumer Goods Companies (as a plus) Detail oriented, thorough with documentation/communication Working knowledge of Business Processes in Materials Master Data Domain

<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"> <p><strong>JOB DETAILS:</strong></p><br><p>Position Title: Data Engineer</p><br><p>Reports to: Data and AI Manager</p><br><p>Business Line/ Department: Data and Automation/it</p><br><p><strong>3. JOB PURPOSE: </strong></p><br><p> The Job Holder is Responsible to Builds and maintains data pipelines, ETL/ELT processes, and data integration solutions that move and transform data across the data platform to support analytics, reporting, and AI applications.</p><br><p><strong>4. Job Deliverables</strong> - <strong>Accountability</strong></p><br><p><strong>Description</strong></p><br><p>Deliverables</p><br><p>Pipeline Success Rate ≥99%</p><br><p>Data Freshness SLA Meets agreed refresh schedule</p><br><p>Data Quality Score ≥95%</p><br><p>Pipeline Documentation 100%</p><br><p>Incident Response ≤2 hours for pipeline failures</p><br><p><strong>5. Know How (applying of knowledge &amp; skills in job tasks)</strong></p><br><p><strong>Description</strong></p><br><p>Data Pipeline Development</p><br><p>• Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks.</p><br><p>• Integrate data from D365 ERP, POS, e-commerce, and external sources into the data warehouse.</p><br><p>• Monitor pipeline performance and resolve data failures promptly.</p><br> </div>

Job Title: Master Data Management Specialist Department: ITEmployment Type: Full-Time (On-site) Location: 10th of Ramadan Level: Junior Job Summary Responsible for creating, maintaining, validating, and governing master data across the organization to ensure data accuracy, consistency, and integrity. This role supports business operations by managing master data related to materials, customers, vendors, products, pricing, and organizational structures while ensuring compliance with data governance standards and ERP requirements. Key Responsibilities Create, maintain, update, and validate master data within the ERP system. Manage Material Master, Item Master, Customer Master, Vendor Master, Product Master, Pricing Master, and Bills of Materials (BOMs). Review and verify all master data creation and modification requests prior to implementation. Ensure master data accuracy, completeness, consistency, and integrity across all systems. Monitor, reconcile, and eliminate duplicate or inaccurate master data records. Maintain data classification, coding structures, and naming conventions according to organizational standards. Coordinate across Supply Chain, Procurement, Production, Planning, Sales, Finance, and IT departments for accurate data alignment. Support new product launches by creating necessary master data records and system configurations. Perform periodic data cleansing and generate reports regarding master data quality and accuracy. Support ERP implementation, upgrades, testing, and system enhancements related to master data. Troubleshoot and resolve master data issues affecting business operations while ensuring compliance with data governance procedures. Maintain documentation for all master data requests and approvals. Qualifications & Requirements Education: Bachelor’s degree in Engineering, Business Administration, Information Systems, or Computer Science. Experience: 1 to 3 years of equivalent work experience. Industry Focus: Manufacturing background preferred. Nationality: Egyptian.

<p><strong>تفاصيل إضافية</strong></p><ul><li>عدد الشواغر: 1</li><li>نظام الورديات: صباحية فقط</li><li>المزايا: تأمين صحي، تأمين اجتماعي</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Description</span><br><span></span><p><strong><u>Job Purpose:</u></strong></p><br><p>To manage the department roadmap to bring the enterprise-wide data under data governance, create a culture of continuous improvement, increasing efficiency and productivity through coaching, engagement and development of team technical skills. Also, to plan, manage and develop complex and critical analytical data quality assessment and remediation projects for data related problems to highlight the data defects and their impact on the bank strategy, different business plans and regulatory rules.</p><br><p><strong><u>Job Description:</u></strong></p><br><p><strong><u>Roles and Responsibilities</u></strong></p><br><p>1.Promote technical excellence within the team and conduct technical awareness sessions in order to ensure adopting Data Governance best practices.</p><br><p>2.Work with Business Data Stewards in order to plan and monitor complex Data Quality Analytical Projects starting with the project scope, the detailed assessment and remediation activities.</p><br><p>3.Work with IT application architectures in order to identify the integration needs between systems to avoid redundant, outdated, and low quality data.</p><br><p>4.Guide and assist the Business with the proper implementation of the data related policies and procedures in order to ensure closing all the gaps that may lead to data quality defects and mitigate financial losses, operational risks, and regulatory penalties.</p><br><p>5.Lead issues resolution through cross-departmental technology dialogues as well as address issues related to the impact of changes on various users, standardization of data entry and development of reports and data exports in order to meet the needs of the Foundation.</p><br><p>6.Identify and suggest enhancements on the data governance methods, toolsets, and processes in order to enhance data governance maturity level and adopt best practices in the market.</p><br><p>7.Monitor and report data-related risks and violations across the organization to the concerned business stakeholders in order to ensure that data quality is achieved and mitigate regulatory risks and financial losses.</p><br><p>8.Monitor, review, and develop complex data quality analytical projects, models, reports, and Dashboards to monitor and track data defects.</p><br><p>9.Develop complex data quality use cases to descript business problems, data defects trends and patterns using advanced machine learning, data mining, and data quality techniques.</p><br><p>10.Work with business and Technical leads, and data management officials in order to set the base for master data management in order to ensure the newly created data elements and systems follow the data management principles and guidelines.</p><br><p>11.Work with the technical leaders in order to identify the gaps in the data integration and migrations between the different systems, assess their impact on the enterprise data assets, business plans and regulatory requirements, and suggest and provide solutions to close the gaps.</p><br><p>12.Manage the implementation of the Enterprise Data Governance repository, measures, and KPIs used in order to build the Enterprise Data Quality Index and Data Quality Matrices.</p><br><p>13.Lead the development and research activities within the Enterprise Data Governance Department and plan for implementing the new ideas and complex use cases to ensure data governance practices are up-to-date and follow the new technology trends.</p><br><p>14.Plan, develop, own, and maintain the Enterprise Data Governance tools related to the operating model of Data governance and ensure they meet the data governance best practices.</p><br><p><strong>Policies, Processes and Procedures</strong></p><br><p>15.Implement approved department policies, processes, and procedures and monitors adherence so that work is carried out in a controlled manner</p><br><p><strong>Day-to-day operations</strong></p><br><p>16.Implement the day-to-day operations assigned for the department to ensure compliance with the established standards and procedures</p><br><p><strong>Supervision</strong></p><br><p>17.Supervise the activities and work of subordinates to ensure that all work within a specific area is carried out in an efficient manner and in compliance with the set policies, processes and procedures</p><br><p><strong>Compliance</strong></p><br><p>18.Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks</p><br><p>19.Oversee and ensure that Data-related decisions, processes, and controls subject to Data are auditable;</p><br><p>Metadata should be timely updated to reflect the real situation</p><br><p>Data architecture should be always up-to-date and reflecting the existing facts</p><br><p>Documentation should be available to support compliance-based and operational auditing requirements</p><br><br> <br> <span>Qualifications</span><br><span></span><p><strong><u>Qualifications &amp; Experience</u></strong></p><br><p>Bachelor’s degree of Information Systems, Computer Science or its equivalent.</p><br><p>7+ years’ experience in implementing and leading data governance, data management, or data analytics initiatives.</p><br><p>Experience in implementing Data Governance programs is a must.</p><br><p>Extensive experience in analyzing and solving complex business problems.</p><br><p>Extensive experience in Data Visualization tools is a must.</p><br><p><strong><u>Skills</u></strong></p><br><p>Strong Quantitative and qualitative analysis and decision making skills</p><br><p>Ability to identify and describe the complex interplay between technologies and organizational structure.</p><br><p>Demonstrated ability to (1) effectively work in an ambiguous environment, (2) effectively work in a cross-team environment, (3) succeed in a complex and dynamic work environment, and (4) work independently, directly with the business partners.</p><br><p>Strong Analytical skills with a high degree of accuracy</p><br><p>Excellent interpersonal and communication skills; ability to develop and maintain effective working relationships with persons at all levels in the organization</p><br><p>Ability to exercise good judgment and discretion, especially with regards to sensitive or confidential personnel and organizational matters</p><br><p>High energy and high endurance; ability to respond flexibly and positively in all circumstances; calm under pressure and tight deadlines</p><br><p>Strong organizational skills; ability to work independently and to priorities a heavy workload of competing assignments</p><br><br> </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"> Company Description<br><p>What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.&nbsp;</p><br><p>Our mission is simple: help businesses build stronger relationships through seamless digital commerce.&nbsp;</p><br><p>At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.&nbsp;</p><br><p>We are looking for a <strong>Senior&nbsp;Data Engineer</strong> to design, build, and optimize our <strong>Azure and Databricks-based data infrastructure</strong>. You will play a critical role in developing scalable <strong>ETL pipelines, data ingestion frameworks, and </strong><strong>contribute to </strong><strong>AI/ML-powered solutions</strong> that drive internal decision-making and customer-facing insights.</p><br><p>This is a hands-on role that requires expertise in <strong>Azure Data Services, Databricks, and Python/SQL</strong>. You will work closely with <strong>Data Architects, Engineers, and Product teams</strong> to develop robust data solutions that power <strong>analytics, personalization, and AI-driven customer experiences</strong>.</p><br><br>Job Description<br><p><strong>Data Pipeline Development &amp; Infrastructure</strong></p><br><ul><li>Design, build, and maintain <strong>scalable data pipelines</strong></li><li>Develop <strong>real-time and batch data processing</strong> frameworks for structured and unstructured data.</li><li>Implement <strong>ETL/ELT workflows</strong> to ingest data from various sources, ensuring <strong>high availability and performance</strong>.</li><li>Optimize <strong>data storage and retrieval</strong> of data in (near) real time and batch processes</li><li>Ensure <strong>cost-efficient</strong> and <strong>high-performance</strong> data infrastructure that scales with business needs.</li></ul><p><strong>Data Solutions &amp; AI-Driven Applications</strong></p><br><ul><li>develop data pipelines for <strong>ML recommenders, search functionality, and AI-enhanced features</strong>.</li><li>Develop and maintain <strong>data models, APIs, and integrations</strong> to support analytics and customer applications.</li><li>Support <strong>eCommerce-related data solutions</strong>, including product recommendations, customer segmentation, and personalization models.</li></ul><p><strong>Collaboration &amp; Continuous Improvement</strong></p><br><ul><li>Work closely with <strong>Data Architects, Analysts, and Product Teams</strong> to understand data requirements and deliver best-in-class solutions.</li><li>Monitor and troubleshoot <strong>performance issues</strong>, ensuring high availability and efficiency of data pipelines.</li><li>Continuously optimize <strong>cost, performance, and scalability</strong> of data engineering solutions.</li></ul><br>Qualifications<br><ul><li>5+ years of experience as a <strong>Data Engineer</strong>, working with <strong>Azure and Databricks</strong>&nbsp;</li><li>Strong expertise in <strong>data pipeline development, ETL workflows, and real-time/batch data processing</strong>.</li><li>Experience in <strong>big data technologies, and large-scale data storage</strong>.</li><li>Familiarity with <strong>data governance, security, and compliance best practices</strong> and <strong>tools</strong></li><li>Proficiency in <strong>Python, </strong><strong>and </strong><strong>SQL,</strong> for data transformation, data quality and automation.</li><li>Strong experience in <strong>optimizing data performance and cost-efficiency in cloud environments</strong>.</li></ul><p><strong>Nice to Have</strong></p><br><ul><li>Experience with <strong>eCommerce data solutions</strong>, such as customer segmentation, recommendation engines, and personalization models.</li><li>Knowledge of <strong>event-driven architectures, streaming data processing, and real-time analytics</strong>.</li><li>Familiarity with <strong>LLM-based AI applications and OpenAI </strong><strong>or similar </strong><strong>APIs</strong>.</li></ul><p><strong>Why you’ll love working here</strong></p><br><ul><li>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.</li><li>Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.</li><li>Hybrid flexibility – Work from our office in Alexandria 3 days per week and from home 2 days.</li><li>Career growth – Expand your technical and leadership scope in a company built for long-term success.</li></ul><p><strong>Our values</strong></p><br><p>At Sana Commerce, our values drive everything we do:</p><br><ul><li>Champions of Our League –&nbsp;<em>We deliver lasting success, balancing quick wins and long-term value</em></li><li>Supercharge Our Customers –&nbsp;<em>We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.</em></li><li>Determined to Grow –&nbsp;<em>We embrace challenges, growing and raising the bar for ourselves and our industry.</em></li><li>Bold Together –&nbsp;<em>We dare to be bold because we have each other’s back.</em></li></ul><p><strong>Ready to build reliability that scales?</strong></p><br><p>Apply now and help shape the foundation of our next-generation SaaS platform.</p><br><br>Additional Information<br><p>#LI-Hybrid</p><br><p>#LI-KK1</p><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"> Company Description<br><p>What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.&nbsp;</p><br><p>Our mission is simple: help businesses build stronger relationships through seamless digital commerce.&nbsp;</p><br><p>At Sana Commerce, we're looking for a <strong>Data Engineer (ML/AI)</strong> to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.</p><br><br>Job Description<br><p><strong>What you'll be doing</strong></p><br><ul><li>Designing and maintaining <strong>data pipelines optimized for ML/AI workloads</strong>, including handling of large-scale, unstructured, and semi-structured data.</li><li>Building <strong>feature pipelines and feature stores</strong> that ensure reusability and consistency of data used by machine learning models.</li><li>Collaborating with Data Scientists and ML Engineers to understand <strong>data requirements for training, validation, and production deployment</strong>.</li><li>Ensuring <strong>data quality, lineage, and governance</strong> meet standards required for AI/ML applications.</li><li>Supporting <strong>MLOps practices</strong> by integrating data pipelines with model training, monitoring, and deployment workflows.</li><li>Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for <strong>scalable ML data processing</strong>.</li></ul><br>Qualifications<br><p><strong>What you bring</strong></p><br><ul><li><strong>5+ years</strong> of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to <strong>ML/AI-related data workflows</strong>.</li><li>College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;</li><li>Excellent analytical and problem-solving skills;</li><li>Experience with <strong>data preparation for ML/AI</strong>: managing large datasets, feature engineering, and real-time or batch data pipelines.</li><li>Familiarity with <strong>MLOps concepts</strong> and how data engineering supports model lifecycle management.</li><li>Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for <strong>complex ML pipelines</strong>.</li><li>Knowledge of unstructured data processing (text, images, logs) is a plus.</li><li>Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.</li></ul><p><strong>Why you’ll love working here</strong></p><br><ul><li>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.</li><li>Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.</li><li>Hybrid flexibility – Work from our office 3 days per week and from home 2 days.</li><li>Career growth – Expand your technical and leadership scope in a company built for long-term success.</li></ul><p><strong>Our values</strong></p><br><p>At Sana Commerce, our values drive everything we do:</p><br><ul><li>Champions of Our League –&nbsp;<em>We deliver lasting success, balancing quick wins and long-term value</em></li><li>Supercharge Our Customers –&nbsp;<em>We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.</em></li><li>Determined to Grow –&nbsp;<em>We embrace challenges, growing and raising the bar for ourselves and our industry.</em></li><li>Bold Together –&nbsp;<em>We dare to be bold because we have each other’s back.</em></li></ul><p><strong>Ready to build reliability that scales?</strong></p><br><p>Apply now and help shape the foundation of our next-generation SaaS platform.</p><br><br>Additional Information<br><p>#LI-Hybrid</p><br><br><br> </div>

Job Overview:We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development. Key responsibilities:• Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.• Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, Mongo DB, and Postgre SQL, to enhance performance, scalability, and efficiency.• Understand and optimize hardware and resource consumption for data engineering projects.• Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.• Design and architect high-performance, fault-tolerant, and scalable data pipelines.• Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.• Mentor and guide junior team members, fostering a culture of continuous learning and skill development.• Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects. Requirements:• 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.• Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.• Proven ability to work effectively in an Agile development environment and manage multiple priorities.• Strong problem-solving, analytical thinking, communication, and collaboration skills.

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.&nbsp;</p><br><p>Our mission is simple: help businesses build stronger relationships through seamless digital commerce.&nbsp;</p><br><p>At Sana Commerce, we're looking for a <strong>Data Engineer (ML/AI)</strong> to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.</p><br><br>Job Description<br><p><strong>What you'll be doing</strong></p><br><ul><li>Designing and maintaining <strong>data pipelines optimized for ML/AI workloads</strong>, including handling of large-scale, unstructured, and semi-structured data.</li><li>Building <strong>feature pipelines and feature stores</strong> that ensure reusability and consistency of data used by machine learning models.</li><li>Collaborating with Data Scientists and ML Engineers to understand <strong>data requirements for training, validation, and production deployment</strong>.</li><li>Ensuring <strong>data quality, lineage, and governance</strong> meet standards required for AI/ML applications.</li><li>Supporting <strong>MLOps practices</strong> by integrating data pipelines with model training, monitoring, and deployment workflows.</li><li>Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for <strong>scalable ML data processing</strong>.</li></ul><br>Qualifications<br><p><strong>What you bring</strong></p><br><ul><li><strong>5+ years</strong> of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to <strong>ML/AI-related data workflows</strong>.</li><li>College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;</li><li>Excellent analytical and problem-solving skills;</li><li>Experience with <strong>data preparation for ML/AI</strong>: managing large datasets, feature engineering, and real-time or batch data pipelines.</li><li>Familiarity with <strong>MLOps concepts</strong> and how data engineering supports model lifecycle management.</li><li>Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for <strong>complex ML pipelines</strong>.</li><li>Knowledge of unstructured data processing (text, images, logs) is a plus.</li><li>Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.</li></ul><p><strong>Why you’ll love working here</strong></p><br><ul><li>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.</li><li>Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.</li><li>Hybrid flexibility – Work from our office in Alexandria&nbsp;3 days per week and from home 2 days.</li><li>Career growth – Expand your technical and leadership scope in a company built for long-term success.</li></ul><p><strong>Our values</strong></p><br><p>At Sana Commerce, our values drive everything we do:</p><br><ul><li>Champions of Our League –&nbsp;<em>We deliver lasting success, balancing quick wins and long-term value</em></li><li>Supercharge Our Customers –&nbsp;<em>We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.</em></li><li>Determined to Grow –&nbsp;<em>We embrace challenges, growing and raising the bar for ourselves and our industry.</em></li><li>Bold Together –&nbsp;<em>We dare to be bold because we have each other’s back.</em></li></ul><p><strong>Ready to build reliability that scales?</strong></p><br><p>Apply now and help shape the foundation of our next-generation SaaS platform.</p><br><br>Additional Information<br><p>#LI-Hybrid</p><br><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 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>

About the Role We are looking for a Technical Data Analyst to join our Data Management and AI team and contribute to building data-driven solutions that power our digital banking platform. In this role, you will work closely with engineering, analytics, and business teams to gather requirements, design data processes, and support data integration initiatives. You will play a key role in enabling accurate data analysis and reporting to support business decisions and enhance the customer banking experience. This is an excellent opportunity for a junior data professional looking to grow within a fast-paced fintech environment. Team Overview The Data Management and AI team works across the full technology stack within QNBeyond Plus, enabling advanced analytics, data management, and AI-driven capabilities. Our team collaborates with multiple technology and product teams to manage, analyze, and serve data that drives innovative digital banking experiences for our customers. Key Responsibilities Data Analysis & Collaboration Act as a bridge between technical teams and data stakeholders. Gather and document reporting and data requirements. Collaborate with engineering and analytics teams to support data initiatives. Data Engineering Support Translate integration requirements into procedures, scripts, and technical documentation. Assist in designing data ingestion pipelines. Data Quality & Verification Design and support data validation and verification procedures. Ensure data accuracy, integrity, and reliability across systems. Project Delivery Support data initiatives and drive assigned tasks to completion. Contribute to Agile processes and cross-team collaboration. What We Are Looking For You must be:Self-motivated, driven to take initiative and achieve results A team player, eager to collaborate and learn A problem solver, focused on identifying solutions Customer-oriented, committed to delivering high-quality results Detail-oriented, especially regarding security and compliance Adaptable to a growing fintech environment Qualifications Technical Skills Strong knowledge of SQLUnderstanding of data modeling concepts Knowledge of programming or scripting tools Professional Skills Strong verbal and written communication skills Experience with requirements gathering and documentation Domain Knowledge Understanding of banking or financial services is a plus Experience in regulated environments or PCI/DSS compliance is advantageous Experience2+ years of experience in software engineering, data analysis, or system analysis At least 1 year of experience in fintech or regulated environments is preferred

About the Role We are looking for an experienced Project Manager – Data, Analytics & AI to lead and coordinate projects across our data and analytics initiatives. In this role, you will work closely with data engineers, data analysts, and AI/ML teams to ensure the successful delivery of data-driven solutions that support business decision-making and innovation across our digital banking platform. The ideal candidate has strong experience managing data and analytics projects, coordinating cross-functional technical teams, and delivering complex technology initiatives. Key Responsibilities Project Management Lead end-to-end delivery of data, analytics, and AI-related projects. Define project scope, timelines, milestones, and deliverables. Ensure projects are delivered on time, within scope, and within budget. Collaboration Work closely with data engineers, data scientists, analysts, and product teams. Facilitate communication between technical teams and business stakeholders. Data & Analytics Initiatives Manage initiatives related to data platforms, analytics solutions, and AI models. Coordinate implementation of data pipelines, reporting tools, and analytics platforms. Monitoring & Reporting Track project progress and ensure alignment with business objectives. Identify risks, dependencies, and potential bottlenecks. Process Optimization Improve project delivery processes and data team collaboration. Ensure alignment with Agile or hybrid delivery frameworks. Required Qualifications Experience Minimum 3+ years of experience in project management Proven experience managing data, analytics, or technology projects Project management certifications such as PMP, PRINCE2, or Agile certifications Technical Understanding Strong understanding of data platforms, analytics tools, or AI/ML workflows Experience working with data engineering or analytics teams Methodologies Experience with Agile, Scrum, or hybrid project management frameworks Professional Skills Strong stakeholder management skills Excellent communication and leadership abilities Strong analytical and problem-solving skills Preferred Qualifications Experience in data analytics, AI, or machine learning projects Experience working in financial services, fintech, or digital banking Familiarity with data platforms, data warehouses, or BI tools

Job purpose:The Job Holder is responsible to Lead Business Intelligence Team and Collaborate with all Stakeholders to complete the BI Cycle; determine the Business requirements, Fetch & gather data from Various sources, Validate Reliability, analyze, and compile data into reports and Dashboard to support the strategic business decision-making and management reporting. Accountabilities:Propose controls, standards, policies and procedures to improve the overall efficiency and effectiveness BI Function. Develop strategies for effective data analysis and reporting. Lead /Manage AI, ML, Big Data, BI, data analytics, and data warehouse solutions/projects. Gathers and Analyze business intelligence from a variety of sources including company data, industry and field reports, public information, or purchased sources to ensure comprehensive Visualizations for effective decision making. Building comprehensive/centralized Datawarehouse and Departments Dashboards/KPIs Manage BI, data analytics, and data warehouse teams. Design and configure ETL, Data warehouse, analytical reporting solution, and ensure delivery of dashboards to the business user. Transform Business requirements into functional Data Warehouse design requirements, including the data warehouse data model (logical and physical) Collaborate with the product team and other stakeholders, including executives, to develop and implement data-driven strategies. Independently Analyze the Situations, diagnose the root-causes and develop & implement the solution to ensure that all immediate situations are responded on timely manners to avoid business risks. Keeps up-to-date with emerging technologies, industry trends, and best practices in BI, applying new knowledge to enhance processes and deliverables. Maintains effective communication and collaboration within the team and across departments. Academic Qualifications:Bachelors degree in Computer and Information Science Professional Experience:More than 10 years of overall experience in IT Function preferably in Software Development

<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"> <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><br><p><b>Responsibilities </b></p><br><ul> <li>Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.</li> <li>Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.</li> <li>Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.</li> <li>Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.</li> <li>Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.</li> <li>Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.</li> <li>Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.</li> <li>Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.</li> <li>Troubleshoot data issues and conduct root cause analysis when reporting data is in question.</li> <li>Work on Gen AI related initiatives aligned with the company goals.</li> </ul><br><p><b>Required Technical Skills</b></p><br><ul> <li>PySpark - Batch and Streaming</li> <li>GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage</li> <li>NoSQL (preferably MongoDB)</li> <li>Programming languages: Scala/Python</li> <li>Great Expectation, or similar DQ framework</li> <li>Familiarity with workflow management tools like: Airflow, Prefect or Luigi</li> <li>Understanding of Data Governance, Data Warehousing and Data Modelling</li> <li>Good SQL knowledge</li> </ul><br><p><b>Business</b></p><br><ul> <li>Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way</li> <li>Proactively identify and contribute with team development initiatives, and supporting junior members</li> </ul><br><p><b>Good to have skills</b></p><br><ul> <li>Infrastructure-as-Code, preferably Terraform</li> <li>Docker and Kubernetes</li> <li>Looker</li> <li>AI / ML engineering knowledge</li> <li>Lineage, or relevant tools e.g. Atlan</li> <li>DBT</li> </ul><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>