Python Developer Jobs - Cairo Egypt

We're looking for a Data Analysis Specialist to turn raw data into clear, actionable insights that drive business decisions. You'll work closely with teams across the company to identify trends, build reports, and answer the "why" behind the numbers. This is a great opportunity for someone who loves solving problems with data and communicating findings in ways that non-technical stakeholders can act on. What You'll DoCollect, clean, and organize data from multiple sources (databases, spreadsheets, APIs) Analyze datasets to identify trends, patterns, and opportunities Build and maintain dashboards and reports using tools like Excel, SQL, Tableau, or Power BIPartner with stakeholders to understand business questions and translate them into data-driven answers Present findings clearly to both technical and non-technical audiences Monitor key metrics and flag anomalies or emerging trends Support forecasting, A/B testing, and other quantitative initiatives Ensure data accuracy, integrity, and consistency across reporting What We're Looking For Bachelor's degree in Statistics, Economics, Data Science, Computer Science, or a related field (or equivalent experience)2+ years of experience in a data analysis, business intelligence, or similar role Proficiency in SQL and Excel; experience with Python or R a plus Experience with data visualization tools (Tableau, Power BI, Looker, or similar) Strong analytical thinking and attention to detail Ability to communicate complex findings in a simple, compelling way Comfortable working independently and managing multiple priorities

<p>2.1 Custom Development</p><p>• Design, build, and maintain custom Odoo modules using Python and Odoo's ORM</p><p>framework</p><p>• Extend or override existing Odoo modules using inheritance patterns (classical, prototype,</p><p>delegation)</p><p>• Develop custom reports using QWeb (PDF and HTML) and configure BI views and</p><p>dashboards</p><p>• Build automated actions, scheduled jobs (cron), and server-side business logic</p><p>• Implement custom wizards, transient models, and multi-step workflows</p><p></p><p>2.2 Integration and API Development</p><p>• Design and implement REST API integrations between Odoo and external systems (MES,</p><p>logistics platforms, third-party services)</p><p>• Use Odoo's XML-RPC and JSON-RPC interfaces for external connectivity</p><p>• Develop and maintain integration with Egypt Tax Authority (ETA) e-invoicing APIs</p><p>• Build webhook handlers and event-driven automation where required</p><p>• Ensure data integrity and error handling in all integration workflows</p><p></p><p>2.3 Technical Configuration and Maintenance</p><p>• Manage Odoo server configuration, module upgrades, and version migrations</p><p>• Maintain and optimize PostgreSQL database performance, including query analysis and</p><p>indexing</p><p>• Write and maintain deployment scripts, Docker configurations, and CI/CD pipelines where</p><p>applicable</p><p>• Conduct code reviews and ensure adherence to Odoo community coding standards</p><p>• Support UAT by resolving technical defects and regression issues</p><p></p><p>2.4 Documentation and Communication</p><p>• Produce clear technical specifications, module documentation, and integration guides</p><p>written in English</p><p>• Communicate technical constraints and trade-offs clearly to non-technical stakeholders</p><p>• Maintain a change log and versioning discipline for all custom code in Git</p><p>• Participate in sprint planning, daily stand-ups, and technical review sessions</p><p></p><p>3. Required Qualifications and Experience</p><p>3.1 Technical Skills</p><p>• Minimum 3 years of hands-on Odoo development experience (versions 16 through 19</p><p>preferred)</p><p>• Strong Python proficiency: OOP, decorators, generators, async patterns, and clean code</p><p>practices</p><p>• Deep knowledge of Odoo ORM: models, fields, recordsets, constraints, [removed], compute,</p><p>depends</p><p>• Experience with Odoo 19 framework changes and new API patterns is a strong advantage</p><p>• Solid understanding of PostgreSQL: schema design, query optimization, and raw SQL when</p><p>needed</p><p>• Proficiency in Odoo frontend technologies: OWL (Odoo Web Library), JavaScript ES6+,</p><p>XML QWeb templates</p><p>• Experience with Git version control and branching strategies (GitFlow or similar)</p><p>• Familiarity with Linux server administration (Ubuntu), Docker, and basic DevOps practices</p><p>• Understanding of REST API design principles and experience with external API integrations</p><p>• Knowledge of ETA e-invoicing technical specifications is a significant advantage</p><p><strong>Requirements</strong></p><ul><li><p>3.2 Professional Experience</p><p>• Bachelor degree in Computer Science, Software Engineering, or a related technical</p><p>discipline</p><p>• At least two completed Odoo development projects from specification through deployment</p><p>• Demonstrated experience contributing to or maintaining a multi-module Odoo codebase</p><p>• Experience with Odoo Enterprise Edition and its proprietary module structure is preferred</p><p></p><p>• Prior exposure to manufacturing or logistics ERP environments is an advantage</p><p></p><p>3.3 Language Requirements</p><p>• Professional written English is mandatory. All technical documentation, code comments,</p><p>commit messages, and formal communications must be in English</p><p>• Spoken English proficiency sufficient for clear participation in technical meetings and</p><p>stakeholder discussions</p><ul><li><p>• Arabic (Egyptian dialect) is a strong advantage for internal team communication</p></li></ul></li></ul><p></p>

Key Responsibilities Performance Testing & Execution Design, develop, and execute performance, load, stress, endurance, and scalability test scenarios. Develop automated performance test scripts using tools such as JMeter, Load Runner, Gatling, or similar. Establish test data, test environments, and workload models based on real user behaviors. Conduct root-cause analysis for performance issues and provide optimization recommendations. Analysis & Reporting Analyze system metrics (CPU, memory, I/O, database performance, network utilization) using APM tools (e.g., Dynatrace, App Dynamics, New Relic). Prepare detailed performance reports highlighting findings, bottlenecks, risks, and improvement actions. Benchmark system performance across releases and track performance KPIs over time. Collaboration & Technical Support Work closely with developers, architects, Dev Ops, and product teams to validate performance requirements and ensure system readiness. Participate in architecture and design reviews to provide performance-related insights. Guide junior engineers on performance engineering best practices and tools. Performance Engineering & Optimization Recommend improvements to system design, database queries, API tuning, caching strategies, and infrastructure scaling. Support continuous performance monitoring and early detection of performance degradation in production. Required Qualifications Education Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience3+ years of hands-on experience in performance testing and performance engineering. Strong experience with performance testing tools (JMeter, Load Runner, Gatling, etc.). Solid experience in scripting (Java, Python, Java Script, or similar). Experience working with microservices, APIs, cloud environments, and distributed systems

Mixel, a Silvaco Company, is an innovator of high-performance analog mixed signal semiconductor IPs whose solutions are powering Mobile, Display, Camera, Automotive, VR, AR and AI applications.<br><br>Our mission is to provide our customers and partners with outstanding mixed-signal, silicon-proven IPs, creating in the process a differentiating technology that sets your products apart.<br><br>At Mixel, you will find an inspiring environment with a strong focus on technical innovation, people well-being, no layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, empathy, mutual trust, and respect.<br><br>Job Description<br><br>Kick-start your career with Mixel-Egypt's 3-month Internship Program. Learn from experienced engineers, contribute to real engineering projects, and develop practical skills using industry-leading design methodologies, tools, and workflows in a collaborative, innovation-driven environment.<br><br>Qualifications<br><br>Essential Qualifications and Experience: <br><br>Bachelor’s degree of : Electronics/Computer Engineering. English Language Proficiency: Fluency Computer skills required: Unix/Linux operating system Experience with Python shell scripting/programming languages (TCL, Perl, Skill, Makefile, and Shell) is a plus. <br><br>Desirable Qualifications And Experience<br><br>Experience with data management tools (Subversion, CVS, GIT) is a plus. Unix/Linux operating systems. <br><br>Additional Information<br><br>Please add your current GPA (or latest academic grade) and military status (if applicable) to your resume. Outstanding interns may be considered for future full-time opportunities based on performance and business needs.

About The Role<br><br>We are looking for an experienced Full Stack Team Lead to lead the design, development, and delivery of scalable software solutions. You will manage a team of engineers while remaining hands-on in architecture, development, and technical decision-making.<br><br>Key Responsibilities<br><br> Lead and mentor a team of web, backend, and mobile developers. Design and develop scalable web applications, services, and APIs. Define software architecture standards and best practices. Translate business requirements into technical solutions. Drive Agile development processes and delivery planning. Conduct code reviews and ensure code quality. Collaborate with product, business, and UI/UX teams. Ensure application performance, security, and scalability. Support CI/CD processes and deployment activities. Research and recommend new technologies and improvements.<br><br>Requirements<br><br> 7+ years of software development experience. 2+ years of experience leading development teams. Strong experience with Java, PHP, Python, Node.js, or similar backend technologies. Strong understanding of OOP, Design Patterns, MVC, MVVM, and Microservices Architecture. Experience with SQL databases such as Oracle, MSSQL, or Postgre SQL. Experience with Agile/Scrum methodologies. Experience with CI/CD and source control systems. Strong problem-solving and communication skills. Experience developing enterprise-grade web applications.<br><br>Nice To Have<br><br> AWS or other cloud platforms. Docker and Kubernetes. Kafka and Elasticsearch. Angular, Flutter, or modern frontend frameworks.<br><br>Education<br><br> Bachelor’s degree in Computer Science, Engineering, or a related field. Professional proficiency in Arabic and English.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Software Engineer designs, develops, and maintains scalable, secure, and high-quality software solutions across backend and frontend components. This role collaborates closely with cross-functional teams to deliver reliable applications, support cloud deployment, and continuously improve performance, quality, and operational stability.</p><p>Responsibilities:</p><ul><li>Design, develop, and maintain scalable software solutions across backend and frontend components.</li><li>Build and consume APIs and services using modern programming languages and frameworks.</li><li>Collaborate with product managers, designers, and engineers to translate requirements into technical solutions.</li><li>Write clean, maintainable, and well-tested code following engineering best practices.</li><li>Optimize application performance, security, and reliability.</li><li>Participate in code reviews, testing, and continuous improvement initiatives.</li><li>Support deployment, monitoring, and troubleshooting of applications in cloud environments.</li><li>Contribute to documentation, technical standards, and knowledge sharing within the team.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience). 4+ years of experience in software development (frontend, backend, or full stack). Outstanding English communication, both verbal and non-verbal. Proficiency in at least one backend language (e.g., Python, TypeScript, Go) and modern frontend frameworks. Experience with RESTful APIs and database technologies (SQL and/or NoSQL). Familiarity with cloud platforms (Azure or AWS) and CI/CD pipelines. Understanding of version control systems (Git) and collaborative development workflows. Knowledge of testing practices, software design principles, and security fundamentals. Strong problem-solving skills, communication abilities, and a collaborative mindset. Fluency in English is a must.</p><p></p></section>

Responsibilities Linux Systems Administration Install, configure, manage, and harden Linux systems (RHEL). Monitor system performance, availability, and log data. Perform patching, upgrades, and capacity planning. Manage users, permissions, storage, and backups. Troubleshoot OS-level issues and performance bottlenecks. Enforce security policies and system hardening standards. Administer Red Hat Identity Manager. Administer Red Hat Satellite Automation & Configuration Management Develop and maintain Ansible playbooks and roles for system provisioning and configuration. Automate repetitive tasks and manage configuration with Ansible Dev Ops Deploy, maintain, and operate Kubernetes clusters. Manage workloads, namespaces, networking, and storage. Administer CI/CD pipelines and Tools<br>Requirements Technical Skills Advanced Linux administration experience. Strong Ansible automation skills. Solid Kubernetes administration knowledge. Bash and/or Python scripting skills. Experience with Docker or Podman. Familiarity with CI/CD tools and pipelines. Experience with monitoring and logging tools. Strong networking fundamentals (TCP/IP, Layer 2/3, etc..). Experience with Git-based workflows. Qualifications2 years in Linux systems administration or Dev Ops roles. Hands-on experience managing production systems. Ability to troubleshoot complex multi-layer issues. Documentation and operational discipline. Experience with RHEL-based environments. Preferred (Bonus Points) RHCSA (Red Hat Certified System Administrator) RHCE (Red Hat Certified Engineer) Soft Skills Strong problem-solving ability. Clear documentation and communication. Ability to work under pressure. Flexibility to work late hours and on weekends

Monglish is looking for an experienced Senior Full Stack Developer to join our growing team. The ideal candidate will have strong expertise in building scalable web applications, designing robust backend systems, and delivering high-quality user experiences.<br>Responsibilities:<br>Design, develop, and maintain scalable full-stack web applications. Build and optimize frontend interfaces with modern frameworks and technologies. Develop secure, high-performance backend services and APIs. Design and manage databases, ensuring performance, reliability, and data integrity. Collaborate with product managers, designers, and developers to deliver new features. Review code, improve development standards, and mentor junior developers. Troubleshoot complex technical issues and provide effective solutions. Participate in architecture decisions and technical planning. Ensure application security, scalability, and maintainability. Stay updated with emerging technologies and recommend improvements.<br>Requirements:<br>5+ years of experience as a Full Stack Developer or similar role. Strong experience with frontend technologies such as React, Angular, or Vue.js. Strong backend development experience using technologies such as Node.js, . NET, Java, Python, or similar. Solid understanding of RESTful APIs and system integrations. Experience with SQL and/or NoSQL databases. Strong knowledge of software architecture and design patterns. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Familiarity with Git, CI/CD pipelines, and modern development workflows. Strong problem-solving and analytical skills. Ability to work independently and collaborate effectively within a team. Excellent communication skills and attention to detail.<br>Nice to Have:<br>Experience working in EdTech, language learning, or AI-powered products. Experience with AI integrations or automation tools. Experience leading technical projects or mentoring developers.<br>What We Offer:<br>Opportunity to work on an innovative product at Monglish. A collaborative and growth-focused environment. Competitive compensation package. Opportunities for professional development and learning.<br>Work Conditions:<br>Full-time position.5 working days per week.9 working hours per day. Work from office. Collaborative and professional working environment at Monglish.

Our Tech Ops & Support Engineer Ensures the stability, availability, and performance of production environments by monitoring systems, automating operational processes, supporting deployments, resolving incidents, and maintaining secure, reliable platform operations.<br><br>Responsibilities<br><br>Monitor, maintain, and optimize production environments to ensure high availability, performance, and compliance with established service level objectives (SLAs/SLOs) Manage deployments, CI/CD pipelines, and release activities while supporting configuration management and environment consistency across production and non-production environments Administer and troubleshoot containerized platforms, IBM Cloud Pak Stacks, Confluent, Elasticsearch, and supporting infrastructure to ensure reliable system operations Investigate incidents, perform root cause analysis, implement corrective actions, and contribute to post-incident reviews to improve service reliability Configure and maintain monitoring, logging, and alerting solutions to proactively identify performance issues and minimize service disruptions Support backup, disaster recovery, security, patching, and operational compliance activities while maintaining accurate technical documentation and runbooks Collaborate with Development, QUALITY, Platform Engineering, Network, and Support teams to resolve complex technical issues and continuously improve operational processes<br><br><br>Requirements<br><br><br>Bachelor's degree or Diploma in Computer Science, Engineering, or a related field Around 2+ years of experience in Technical Operations, Production Support, Site Reliability Engineering (SRE), Dev Ops, or System Administration Good experience with Linux/Windows administration, Docker, Kubernetes, Open Shift, CI/CD pipelines, automation tools (Jenkins, Git Lab CI, Git Hub Actions), and scripting (Bash, Power Shell, Python) Working knowledge of IBM Cloud Pak solutions (CP4BA, CP4I, CP4D), Confluent, Elasticsearch, Databases (SQL, DB2, Mongo DB, etc.), and observability platforms such as Grafana and Prometheus Good understanding of networking fundamentals, security best practices, IAM, backup and disaster recovery, configuration management, and production environment support Strong troubleshooting, incident management, root cause analysis, communication, and collaboration skills with the ability to work effectively under pressure Ability to participate in on-call support, prioritize operational issues, and deliver reliable production support while driving continuous service improvement

We're looking for an experienced Data & Market Intelligence Lead to drive the strategy, architecture, and delivery of our data intelligence capabilities. This is a hands-on leadership role for someone who combines deep machine learning expertise with strong execution, taking ownership of production ML systems, market data strategy, and the growth of the Data & Market Intelligence function.<br>You'll play a critical role in designing scalable machine learning infrastructure, transforming data into actionable intelligence, and ensuring our models are robust, explainable, and production-ready from day one.<br>Responsibilities:Define the modelling roadmap and make build-vs-buy calls across model types (the platform leans AWS — Sage Maker, Personalize where it fits). Solve the cold-start problem: design models that perform with sparse first-party data at launch, and lead the strategy for acquiring, scraping, and licensing external market data (REGA, public records, macroeconomic indicators, third-party listing data). Own the full MLOps lifecycle: data and feature pipelines, model registry and versioning, automated training/retraining, CI/CD for models, model serving, and live monitoring for drift, data quality, and performance — with reproducibility and rollback built in, not bolted on later. Architect every AI service as a highly scalable, low-latency API built to serve the platform at production scale (the roadmap targets ~100k users and millions of inference requests a month), with horizontal scaling, caching, batching, and inference-cost control designed in from day one. Establish ground truth and evaluation — accuracy targets, drift monitoring, and how each score is validated and explained to users. Ensure PDPL compliance and anonymisation for any insights derived from user data; partner with the platform team on data governance. Expose models as clean APIs the Laravel/Type Script platform team can consume without touching Python. Recruit, lead, and hold accountable the Data & Market Intelligence chapter as the function scales.<br>What You Bring<br>Technical Depth:<br>7+ years in ML/data science with real production model ownership, and prior team leadership. Strong applied background in regression, time-series forecasting, and scoring/ranking — ideally pricing, valuation, demand, or risk models. Hands-on Python ML stack (pandas, scikit-learn, plus deep-learning frameworks). Strong, hands-on MLOps — has stood up production ML infrastructure end to end: experiment tracking, model registry/versioning, automated retraining and evaluation, containerised serving, monitoring/alerting (drift, latency, accuracy), and infrastructure-as-code. On AWS this means comfort with Sage Maker (pipelines, model registry, endpoints) or an equivalent self-managed stack. Proven experience designing high-throughput, low-latency ML serving at scale — load-aware architecture, autoscaling, caching/feature reuse, and keeping inference cost and latency under control as volume grows. Cloud ML at production scale (AWS strongly preferred). Comfort operating in a data-scarce, build-from-zero environment — pragmatic about heuristics/algorithmic baselines before full models. Preferred: real estate / proptech, fintech, or marketplace pricing experience; geospatial modelling and external data licensing; familiarity with Saudi/GCC market and data sources (REGA, Suhail); Arabic language; KSA data residency and regulatory awareness.<br>Leadership & Execution:<br>A strict, execution-driven manager — sets clear standards, owns deadlines, and holds the team accountable to them. Decisive and hands-on; leads by delivering, not delegating-and-hoping. Comfortable enforcing quality bars on code, models, and process. Pragmatic prioritiser who can ship a working baseline under data and time constraints rather than chasing perfection. Clear communicator who can explain model behaviour and trade-offs to non-ML stakeholders (product, platform, executives).<br>If you're ready to shape and scale data intelligence capabilities in a high-growth environment, we'd love to hear from you.

Data platform engineering: Design and maintain scalable batch and near-real-time data pipelines across mobile applications, NFC/fuel transactions, station integrations, ERP integrations, payments, support systems, and operational databases Data modeling: Create clean, reusable data models for core entities such as customers, vehicles, drivers, stations, transactions, wallets, limits, invoices, products, maintenance services, and geographic coverage Reliability and quality: Implement data validation, lineage, observability, alerting, reconciliation, and automated quality checks to ensure business-critical dashboards and reports are accurate and timely Analytics enablement: Partner with analytics, product, finance, operations, and customer success teams to deliver self-service datasets, metrics layers, and well-documented data marts Performance and cost optimization: Tune queries, storage layouts, orchestration schedules, and cloud resources to improve platform performance and manage infrastructure cost Data governance and security: Apply data access controls, PII handling, retention practices, auditability, and compliance-aware engineering patterns across the data lifecycle Integration engineering: Build robust ingestion patterns for APIs, webhooks, CDC, files, event streams, third-party integrations, and partner station data feeds Dev Ops for data: Use CI/CD, version control, automated testing, infrastructure-as-code, and deployment standards for data pipelines and transformations Incident management: Troubleshoot data incidents, conduct root-cause analysis, reduce recurring failures, and communicate impact clearly to stakeholders Technical mentorship: Review designs and code, establish engineering standards, mentor junior team members, and raise the quality bar for data engineering at Petro App<br><br>Requirements<br><br>Required qualifications<br><br>5+ years of professional experience in data engineering, analytics engineering, platform engineering, or backend engineering with strong data ownership Advanced SQL skills, including query optimization, data modeling, window functions, incremental transformations, and large-table performance tuning Strong Python programming experience for data pipelines, automation, testing, and production-grade data workflows Hands-on experience with workflow orchestration such as Airflow, Dagster, Prefect, or similar tools Experience with modern data warehouses or lakehouse platforms such as Big Query, Snowflake, Redshift, Databricks, Delta Lake, Iceberg, or equivalent Experience building reliable ELT/ETL pipelines using tools such as dbt, Spark, Kafka, Flink, Fivetran, Stitch, custom API ingestion, or CDC frameworks Practical understanding of data quality, schema evolution, monitoring, alerting, backfills, idempotency, and failure recovery Experience designing dimensional, wide-table, and event-based data models for BI, analytics, and operational reporting Comfort working with cloud platforms such as AWS, GCP, or Azure, plus Git-based engineering workflows Strong communication skills with the ability to translate business requirements into clear technical designs and delivery plans<br><br>Preferred qualifications<br><br>Experience in fintech, payments, fleet management, logistics, mobility, marketplace, fuel, or high-volume transaction platforms Knowledge of event-driven architectures, streaming data, CDC, API integrations, data contracts, and data mesh or domain-oriented data ownership Experience supporting BI tools such as Power BI, Looker, Tableau, Metabase, Superset, or similar platforms Familiarity with MLOps or feature engineering for fraud detection, anomaly detection, forecasting, customer segmentation, or optimization use cases Experience with data privacy, access control, encryption, secrets management, and compliance expectations in the Middle East or multi-country operations<br><br>Core technical stack expectations<br><br>The exact stack may evolve, but the successful candidate should be comfortable operating across the following categories:<br><br>Languages: SQL, Python; optional Scala or Java for distributed processing Transformation and modeling: dbt or equivalent; dimensional modeling; metrics layers Orchestration: Airflow, Dagster, Prefect, or similar Storage and compute: cloud warehouse, data lake/lakehouse, object storage, distributed processing Streaming and integration: Kafka or equivalent, CDC, APIs, webhooks, files, partner data feeds Engineering practices: Git, CI/CD, automated tests, Docker, Kubernetes or containerized deployment, Terraform or infrastructure-as-code Observability: data quality checks, lineage, pipeline monitoring, logs, alerts, runbooks, and service-level objectives for data products<br><br>Benefits<br><br>Competitive salary and benefits package Opportunity to work on cutting-edge technology with a passionate team Career growth and development opportunities A collaborative and inclusive work environment

Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts<br><br>Requirements<br><br>Required qualifications<br><br>5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role Advanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains Strong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools Strong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis Ability to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations Experience working with transactional, product, customer, payment, operational, or financial datasets at scale Working knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research Excellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences Strong attention to data accuracy, definitions, documentation, and reproducibility Comfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations<br><br>Preferred qualifications<br><br>Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, Saa S, or high-volume transaction businesses Experience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics Arabic and English business communication skills are a plus for regional stakeholder engagement<br><br>Core analytics stack expectations<br><br>The exact stack may evolve, but the successful candidate should be comfortable operating across the following categories:<br><br>Analysis: SQL, spreadsheets, Python or R, notebooks, statistical methods, and business case modeling BI and visualization: Power BI, Tableau, Looker, Metabase, Superset, or equivalent dashboarding tools Data modeling: dimensional thinking, metric definitions, cohort tables, funnel tables, and curated analytical datasets Collaboration: requirements gathering, stakeholder workshops, documentation, presentations, and decision memos Governance: metric catalog, dashboard ownership, access control awareness, and data quality issue management Product analytics: event data, customer journeys, feature usage, adoption metrics, retention, and conversion analysis<br><br>Benefits<br><br>Competitive salary and benefits package Opportunity to work on cutting-edge technology with a passionate team Career growth and development opportunities A collaborative and inclusive work environment

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time SCC Engineer in Cairo we re looking for? Your future role Take on a new challenge and apply your engineering expertise in a new cutting-edge field. You ll work alongside passionate, motivated, and dedicated teammates. You'll be a part of the SCC (Supervision Control Center) Application Design team, where the SCC system comprises three subsystems: ATS (Automatic Train Supervision), SCADA, and the security system. Day-to-day, you ll work closely with teams across the business, both locally and globally, defining and validating ATS site data and parameters, performing sub-system tests, and ensuring configuration management for project data. You ll specifically take care of designing, implementing, and testing ATS system site data, but also supporting integration, testing, and commissioning activities. We ll look to you for: • Defining and validating all ATS site data and parameters to customize for a specific project/product • Creating and maintaining documentation, performing sub-system tests, and verifying traceability • Ensuring configuration management for project data • Supporting integration, testing, and commissioning activities • Collaborating with cross-functional teams to ensure successful project delivery • Proactively identifying and resolving challenges to maintain project timelines All about you We value passion and attitude over experience. That s why we don t expect you to have every single skill. Instead, we ve listed some that we think will help you succeed and grow in this role: • A degree or equivalent in Electrical Engineering, Electronics Engineering, or Control and Automation Engineering • Fundamental knowledge of programming, including Python and SQL • Experience with both Linux and Windows operating systems • Fluency in the English language • Strong analytical capabilities for identifying defects and suggesting corrective solutions • Teamwork skills and transparency in communication • Curiosity and eagerness to learn Things you ll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You ll also: • Enjoy stability, challenges, and a long-term career free from boring daily routines • Work with new security standards for rail signalling • Collaborate with transverse teams and helpful colleagues • Contribute to innovative projects • Utilize our agile working environment • Steer your career in whatever direction you choose across functions and countries • Benefit from our investment in your development, through award-winning learning • Progress towards becoming a senior application design engineer • Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You don t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you ll be proud. If you re up for the challenge, we d love to hear from you! Important to note As a global business, we re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We re committed to creating an inclusive workplace for everyone. Job Segment: Database, Linux, SQL, Technology</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>A degree or equivalent in Electrical Engineering, Electronics Engineering, or Control and Automation Engineering</p><p>Fundamental knowledge of programming, including Python and SQL</p><p>Experience with both Linux and Windows operating systems</p><p>Fluency in the English language</p><p>Strong analytical capabilities for identifying defects and suggesting corrective solutions</p><p>Teamwork skills and transparency in communication</p><p>Curiosity and eagerness to learn</p><p></p></section>

What started in 2007 with a pizza and a plan has grown into a fast-moving Saa S company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. <br><br>Our mission is simple: help businesses build stronger relationships through seamless digital commerce. <br><br>At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact. <br><br>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.<br><br>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.<br><br><br><br>Job Description<br><br>Data Pipeline Development & Infrastructure<br><br>Design, build, and maintain scalable data pipelines Develop real-time and batch data processing frameworks for structured and unstructured data. Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance. Optimize data storage and retrieval of data in (near) real time and batch processes Ensure cost-efficient and high-performance data infrastructure that scales with business needs. Data Solutions & AI-Driven Applications<br><br>develop data pipelines for ML recommenders, search functionality, and AI-enhanced features. Develop and maintain data models, APIs, and integrations to support analytics and customer applications. Support e Commerce-related data solutions, including product recommendations, customer segmentation, and personalization models. Collaboration & Continuous Improvement<br><br>Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions. Monitor and troubleshoot performance issues, ensuring high availability and efficiency of data pipelines. Continuously optimize cost, performance, and scalability of data engineering solutions. <br><br>Qualifications<br><br>6+ years of experience as a Data Engineer, working with Azure and Databricks Strong expertise in data pipeline development, ETL workflows, and real-time/batch data processing. Experience in big data technologies, and large-scale data storage. Familiarity with data governance, security, and compliance best practices and tools Proficiency in Python, and SQL, for data transformation, data quality and automation. Strong experience in optimizing data performance and cost-efficiency in cloud environments. Nice to Have<br><br>Experience with e Commerce data solutions, such as customer segmentation, recommendation engines, and personalization models. Knowledge of event-driven architectures, streaming data processing, and real-time analytics. Familiarity with LLM-based AI applications and Open AI or similar APIs. Why you’ll love working here<br><br>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online. Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture. Hybrid flexibility – Work from our office in Alexandria 3 days per week and from home 2 days. Career growth – Expand your technical and leadership scope in a company built for long-term success. Our values<br><br>At Sana Commerce, our values drive everything we do:<br><br>Champions of Our League – We deliver lasting success, balancing quick wins and long-term value Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed. Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry. Bold Together – We dare to be bold because we have each other’s back. Ready to build reliability that scales?<br><br>Apply now and help shape the foundation of our next-generation Saa S platform.<br><br><br><br>Additional Information

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world s most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field.</li><li>1+ years of experience in digital RTL design using SystemVerilog/Verilog.</li><li>Solid understanding of digital design fundamentals: synchronous design, CDC, FSMs, pipelining, and low-power techniques.</li><li>Hands-on experience with industry EDA tools (synthesis, lint, CDC, simulation).</li><li>Familiarity with scripting (Python, TCL, Perl) for design automation.</li><li>Strong problem-solving skills and ability to work in a cross-functional team.</li></ul><p></p></section>

<ul><li><strong>System Integration:</strong> Combine mechanical elements with sensors, actuators, and electronic control units.</li><li><strong>Automation &amp; Robotics:</strong> Design, program, and maintain automated assembly lines and robotic arms.</li><li><strong>CAD Modeling:</strong> Create detailed 3D models and blueprints using tools like SolidWorks or AutoCAD.</li><li><strong>Control Systems:</strong> Program microcontrollers, Arduino setups, and Programmable Logic Controllers (PLCs).</li><li><strong>Testing &amp; Prototyping:</strong> Build functional prototypes, run simulations, and execute rigorous diagnostic tests.</li><li><strong>Troubleshooting:</strong> Diagnose system failures spanning electrical circuits, software bugs, and hydraulic issues. [1, 2, 3, 4, 5, 6]</li></ul><p><strong>Key Technical Skills</strong></p><ul><li><strong>Programming:</strong> Proficiency in C++, Python, and MATLAB for algorithmic control and data analysis.</li><li><strong>Hardware &amp; Electronics:</strong> In-depth knowledge of circuit boards, sensors, and CAN bus communication protocols.</li><li><strong>Mechanical Systems:</strong> Solid understanding of kinematics, pneumatics, hydraulics, and material strength.</li><li><strong>Industrial Protocols:</strong> Expertise in SCADA systems and industrial network configurations. [1, 2, 3, 4, 5]</li></ul><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Product Development team is responsible for developing and implementing innovative insurance products, leveraging data analytics and actuarial expertise to assess risk and ensure profitability. Collaborating closely with cross-functional teams, they analyze market trends and customer needs to create solutions that meet regulatory standards and enhance customer satisfaction.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 8 10 years of experience in Pricing Actuarial Function.</li><li>Fluent in English and Arabic.</li><li>Excellent communication and documentation writeups skills.</li><li>Advance level of Excel, Power Pivot and Power BI.</li><li>Familiar with Alteryx software and python coding.</li><li>Excellent presentation skills.</li><li>High analytical skills to interpret data and support decision-making.</li><li>Excellent team player with strong collaboration skills across departments.</li><li>Agile mindset with the ability to adapt to change and drive continuous improvement.</li><li>Strategic thinking capability to align team objectives with organizational goals.</li></ul><p></p></section>

Staff Data Engineer<br>About the Role Intellias is looking for a Staff Data Engineer to join a large-scale digital healthcare initiative focused on building the data and AI foundations that power personalized healthcare experiences. This is a Staff-level Individual Contributor role for an engineer who combines deep data engineering expertise with distributed systems thinking, backend development, and technical leadership. You will design and build scalable data infrastructure, solve complex cross-platform engineering challenges, and establish technical patterns and standards adopted across multiple engineering teams. The role is highly hands-on while also requiring the ability to provide technical direction, mentor experienced engineers, and influence architecture across the broader platform.<br>Project Overview The project is building a FHIR-based healthcare data platform that integrates data from EHRs, healthcare applications, wearables, portals, and other sources to enable connected and personalized healthcare experiences. The platform supports:Real-time and batch data processing Operational and analytical workloads Healthcare interoperability Data-intensive product capabilities Machine learning and AI use cases Scalable, cloud-native data infrastructure<br>The technology landscape includes Python, PySpark, Apache Spark, Kafka, Duck DB, Prefect/Airflow, Fast API, Mongo DB, Docker, Kubernetes, and cloud-native infrastructure. The core engineering challenge is to build secure, reliable, and scalable data foundations capable of processing heterogeneous healthcare data while supporting product engineering, analytics, machine learning, and emerging AI capabilities.<br>What You’ll DoDesign and implement solutions for large-scale, ambiguous data engineering and distributed-systems challenges. Architect, build, and evolve real-time and batch data infrastructure supporting operational, analytical, and AI/ML workloads. Design and scale event-driven data pipelines using technologies such as Kafka, Spark, and PySpark. Build production backend services and APIs using Python and Fast API to support data and platform capabilities. Define scalable approaches to data ingestion, transformation, modeling, validation, storage, and delivery. Design data architectures that address schema evolution, data quality, heterogeneous data integration, scalability, and operational reliability. Establish and champion technical standards, architectural patterns, engineering best practices, and reusable platform components. Serve as a cross-team technical authority for data systems, distributed processing, pipelines, and platform architecture. Improve the reliability, scalability, performance, and cost efficiency of data infrastructure. Implement robust observability, logging, monitoring, and alerting across distributed data systems. Design systems with security, privacy, healthcare compliance, and scalability built in from the beginning. Improve engineering workflows, CI/CD pipelines, automated testing, and production deployment practices. Collaborate closely with Product, ML/AI, Platform, Infrastructure, and application engineering teams to develop shared data capabilities. Provide technical mentorship through architecture reviews, design discussions, pairing, and knowledge sharing. Evaluate emerging data and AI technologies and introduce them where they provide measurable improvements to platform capabilities or engineering efficiency. Remain hands-on with production engineering, validating architectural decisions through implementation and operational experience.<br>What You Bring Required Qualifications8+ years of professional software and data engineering experience, including at least 3 years working with large-scale distributed data systems. Deep expertise designing and building scalable data platforms, pipelines, and distributed processing systems. Strong hands-on proficiency in Python, with production experience using technologies and libraries such as PySpark, Pandas, and Fast API. Strong experience with Apache Spark/PySpark and distributed data processing at scale. Experience designing and implementing real-time and batch data pipelines using Kafka, Spark, or comparable distributed processing technologies. Strong understanding of data architecture, data modeling, schema evolution, data quality, and heterogeneous data integration. Experience with workflow orchestration technologies such as Prefect, Apache Airflow, or equivalent. Experience building production backend services and APIs supporting data and platform capabilities. Strong SQL skills and hands-on experience with modern data storage technologies, including relational and NoSQL databases such as Mongo DB. Strong understanding of distributed systems principles, including scalability, reliability, fault tolerance, consistency, and performance. Experience designing and implementing observability, logging, monitoring, and alerting for distributed data systems. Strong cloud-native engineering experience, including Docker, Kubernetes, CI/CD, and production deployment practices. Proven ability to independently design solutions for ambiguous, large-scale engineering problems spanning multiple systems and teams. Demonstrated experience establishing technical standards, engineering patterns, development practices, and reusable platform capabilities. Strong technical leadership skills, including experience mentoring senior engineers, conducting design reviews, and influencing architecture without formal people-management authority. Strong understanding of security, privacy, and data protection principles for production data platforms. Professional English proficiency sufficient for direct collaboration with U. S.-based engineering, product, ML, and platform teams. Bachelor's degree in computer science, Engineering, or a related field.<br>Nice to Have Experience with FHIR, HL7, C-CDA, or other healthcare interoperability standards. Previous experience in healthcare, Health Tech, or another regulated data environment. Understanding of HIPAA, HITECH, or comparable data privacy and compliance requirements. Experience deploying or supporting LLMs, ML models, AI-enabled data products, or retrieval-based systems. Experience building data infrastructure supporting ML/AI workloads and production inference. Hands-on experience with observability technologies such as Open Telemetry, Datadog, Prometheus, or similar platforms. Experience with Duck DB or modern analytical data-processing technologies. Experience with AI-assisted engineering tools such as Claude Code, Git Hub Copilot, Cursor, or comparable solutions. Contributions to open-source projects or publicly available engineering initiatives.<br>Why Join This Initiative? This role offers the opportunity to shape the data and AI foundations of a modern healthcare platform operating at significant scale. You will work on technically complex challenges spanning:Distributed data processing Event-driven architectures Backend services Cloud-native infrastructure Healthcare interoperability Data platform architecture AI/ML enablement<br>As a Staff-level Individual Contributor, your impact will extend well beyond individual services or pipelines. You will establish architectural patterns, influence technical decisions across teams, mentor experienced engineers, and help define how the broader engineering organization builds and operates data-intensive systems. At the same time, this is fundamentally a hands-on engineering role. You will design systems, build critical components, validate architectural decisions through code, and remain closely connected to how systems behave in production. This position is particularly well suited for an engineer who wants to combine deep technical expertise with organization-wide engineering influence while building data infrastructure that directly enables better healthcare products and emerging AI capabilities.

<h3>Role Summary</h3><p>You lead the technical side of client engagements: design the architecture, plan the work, and lead the team that delivers it. You are accountable for what ships - architecture, quality, and timelines - and the role stays hands-on: writing code, reviewing it, and troubleshooting production are part of the job. Platforms differ from client to client, so we look for principles and depth rather than experience with one specific vendor stack.</p><p>&nbsp;</p><p><strong>The Mission</strong></p><p>Data platforms that work in production: correct data, predictable cost, and a client team able to run them after we leave.</p><p>&nbsp;</p><p><strong>The Tech Stack</strong></p><ul><li><p>Core languages: Python, SQL.</p></li><li><p>Processing: Spark/PySpark, including tuning and troubleshooting.</p></li><li><p>Orchestration &amp; transformation: Airflow or Dagster; dbt.</p></li><li><p>Platforms: Databricks, Snowflake, BigQuery, or Synapse - depth in at least one, and the basis to choose between them.</p></li><li><p>Streaming: Kafka, Kinesis, or Event Hubs; Spark Structured Streaming or Flink.</p></li><li><p>Architecture: lakehouse formats (Delta, Iceberg), dimensional modeling, Lambda/Kappa.</p></li><li><p>Governance &amp; quality: catalogs, lineage, access control, data contracts, monitoring.</p></li><li><p>Infrastructure: Terraform, CI/CD, Docker; Kubernetes basics.</p></li><li><p>Cloud: AWS, Azure, or GCP - one at an advanced level.</p></li></ul><p>&nbsp;</p><p><strong>Your Responsibilities</strong></p><ul><li><p>Own technical delivery on engagements: architecture, plan, quality, and timelines.</p></li><li><p>Lead the engineering team day-to-day - distribute work, review code, unblock people.</p></li><li><p>Build alongside the team: you write and review code, not only design it.</p></li><li><p>Set technical standards on the project - monitoring, quality checks, CI/CD, reproducible environments.</p></li><li><p>Support presales: assessments, technical audits, estimates.</p></li><li><p>Mentor Middle and Senior engineers, and take part in technical interviews.</p></li></ul><p>&nbsp;</p><p><strong>What We Offer</strong></p><ul><li><p>Long-term career stability with a competitive salary paid in USD.</p></li><li><p>Conditions for steady career development.</p></li><li><p>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</p></li><li><p>Private medical insurance provided after successful completion of the probationary period</p></li><li><p>A well-equipped and cozy office supports comfort and productivity across all project stages.</p></li><li><p>Welcoming atmosphere and a friendly corporate culture.</p></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>Your Skills</strong></p><ul><li><p>Experience: 6+ years in data engineering, including at least one platform you designed and delivered end-to-end.</p></li><li><p>Team leadership: lead teams of 3-8 engineers - plan and distribute work, review code, unblock people, and stay accountable for what the team ships.</p></li><li><p>Delivery ownership: estimate, plan, and re-plan; flag risks early; keep scope and timelines realistic.</p></li><li><p>Python: production code - modules, tests, packaging; frameworks other engineers build on.</p></li><li><p>SQL: complex transformations, execution plans, optimization on large tables.</p></li><li><p>Spark: partitioning, shuffles, memory, skew - you debug jobs from the Spark UI and logs.</p></li><li><p>Modeling: dimensional models, SCD, incremental loads, backfills, late-arriving data.</p></li><li><p>Streaming: at least one production pipeline - delivery guarantees, watermarks, state.</p></li><li><p>Governance: access models, lineage, quality checks, and the SLAs around them.</p></li><li><p>Infrastructure: environments provisioned as code and deployed through CI/CD.</p></li><li><p>Cost: you can explain what a workload costs and reduce it.</p></li><li><p>Client work: requirements gathering, estimates, technical explanations to non-engineers.</p></li><li><p>Growing engineers: mentoring, code review, and setting technical standards on the project.</p></li><li><p>English: B2 or higher.&nbsp;</p></li></ul><p><strong>Nice to Have</strong></p><ul><li><p>Migrations: on-premises to cloud, legacy warehouse to lakehouse, or cross-cloud.</p></li><li><p>Regulated domains: finance, healthcare, or telecom - GDPR, HIPAA, or SOC 2.</p></li><li><p>Certifications: professional level (Databricks, AWS, Azure, GCP).</p></li><li><p>Scala: for Spark workloads.</p></li><li><p>Kubernetes: in production.</p></li></ul><p></p>

<p>The Resource Management Operation Specialist team delivers end-to-end analytics solutions across a wide range of internal data domains, covering resource management, data ingestion and transformation through to dashboard and analytics consumption, with the people data domain being a key area of focus. While end-user outputs include dashboards and ad-hoc analytics, these are underpinned by centrally managed production data pipelines and curated data assets. The team builds and maintains these centrally owned assets for use across the business, ensuring solutions are consistent, reusable, and straightforward to support over time. As part of the Resource Management Operation Specialist, the candidate will need to be focused on back-end data engineering and data model design, contributing to the development and operation of production data pipelines and data assets. Work is delivered primarily in Databricks using PySpark and Spark SQL, with a strong emphasis on quality, reusability, and long-term sustainability.</p><p>Scope of responsibility</p><p>The role will be responsible for the following activities:</p><ul><li>Resource Management Operation Stakeholder management, communication, and organization</li><li>Designing and evolving data models and pipeline architectures that support analytics and reporting use cases.</li><li>Building and maintaining production-grade data pipelines in Databricks using PySpark and Spark SQL.</li><li>Supporting production data pipelines by investigating data defects or failures when raised, performing root cause analysis, and implementing permanent fixes.</li><li>Translating problem statements and reporting needs into well-structured data solutions, operating with minimal guidance.</li><li>Working with the internal team and, where appropriate, business stakeholders to clarify data requirements from a data model and engineering perspective.</li><li>Championing well-designed, consistent data models that enable reliable downstream analytics and reduce duplication.</li><li>Contributing to shared engineering standards through code review, reusable utilities, and common design patterns</li><li>Producing clear code-level documentation and contributing to shared technical documentation to support knowledge transfer and long-term maintainability.</li><li>Managing code in Git-based version-controlled environments.</li></ul><p>Required technical capability</p><p>The role requires strong, hands-on experience in:</p><ul><li>Resource Management</li><li>Data engineering using Databricks, with practical experience in PySpark and Spark SQL.</li><li>Designing data models optimised for analytics and reporting consumption.</li><li>Building, operating, and improving production data pipelines in an enterprise environment.</li><li>Using Git for version control, including managing branches, pull requests, and participating in code reviews.</li><li>Writing and maintaining clear, well-structured code suitable for long-term ownership and reuse.</li><li>Broader Python development to support data engineering workflows beyond core transformations.</li><li>Working alongside downstream analytics tools such as Power BI, with sufficient understanding to ensure data models support efficient consumption (without owning dashboard or semantic model development).</li></ul><p><strong>Desired Candidate Profile</strong></p><p>The role requires strong, hands-on experience in:</p><ul><li>Resource Management</li><li>Data engineering using Databricks, with practical experience in PySpark and Spark SQL.</li><li>Designing data models optimised for analytics and reporting consumption.</li><li>Building, operating, and improving production data pipelines in an enterprise environment.</li><li>Using Git for version control, including managing branches, pull requests, and participating in code reviews.</li><li>Writing and maintaining clear, well-structured code suitable for long-term ownership and reuse.</li><li>Broader Python development to support data engineering workflows beyond core transformations.</li><li>Working alongside downstream analytics tools such as Power BI, with sufficient understanding to ensure data models support efficient consumption (without owning dashboard or semantic model development).</li></ul>