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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Data Engineer - **Company:** SourcePower - **Location:** NIEUWEGEIN, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Access Network, Agile Methodology, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Software as a Service, Cloud Database, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mart, Data Normalization, Data Systems, Data Warehousing, Database Queries, Software Debugging, DevOps, Python (Programming Language), Performance Tuning, Data Mesh, Standard Sql, Azure Data Lake, SQL Databases, Teradata SQL, Workflow Management Systems, Freeform SQL, Real Time Systems, Data Ingestion, Informatica Powercenter, Git, Microsoft Fabric, Pyspark, Integration Frameworks, Data Pipelines - **Published:** October 13, 2026 - **Apply:** https://www.sourcepower.nl/opdracht/devops-data-engineer-33684-1/ ## About the Role We are looking for a Senior/Medior hands-on Data Engineer with strong experience in building production-grade data pipelines in a cloud environment and a solid background in data warehousing projects. The candidate should have expertise in designing and implementing ETL/ELT pipelines preferably Informatica or other enterprise ETL tools, as well as strong solution design and data integration skills. The candidate should be highly proficient in SQL and comfortable working with large datasets, with the ability to write complex and optimized SQL queries . Strong communication, collaboration, and problem-solving skills are also essential. Proficient in both Dutch and English, written and spoken . Technical Skills Microsoft Fabric: Hands-on experience with Microsoft Fabric SaaS, including Lakehouse, Data Warehouse, Dataflows, Pipelines, Notebooks, and Azure Data Lake Storage integration, for large-scale data processing and transformation. ETL/ELT Informatica : Experience in developing, maintaining, and optimizing ETL/ELT pipelines using Informatica PowerCenter or IDMC Cloud Data Integration (CDI), including mapping development, workflow orchestration, scheduling, debugging, and performance tuning. Architecture : Strong understanding of data warehouse concepts, data marts, data mesh principles, big data, and modern data architecture patterns, including batch and near-real-time processing designs. Programming: Strong advantage if the candidate has coding experience in Python and PySpark for data ingestion, transformation, automation, and reusable data processing frameworks. SQL Proficiency: Experienced in writing complex SQL queries, performing in-depth data analysis, and optimizing query performance for scalability and efficiency across Fabric and Teradata tools . Data Modeling: Designing efficient data models and structures across dimensional models, star and snowflake schemas, and Lakehouse architectures, including fact/dimension design and data normalization/denormalization principles. CI/CD : Nice to have experience with GIT hub and Azure DevOps for CI/CD Soft Skills Language Skills: Proficient in both Dutch and English, written and spoken. Demonstrates a strong team-oriented and collaborative mindset, contributing effectively in cross-functional environments. Quick learner with a proactive attitude toward adopting new technologies and tools. Analytical mindset with keen attention to detail and strong problem-solving capabilities. ## Description Design, develop, and optimize data pipelines and workflows to support efficient ETL/ELT processes. Work collaboratively within an Agile Devops team to develop, test, and release user stories, ensuring timely and high-quality delivery Support day-to-day daily operations during weekdays, ensuring data systems run efficiently and issues are resolved promptly within SLA . Contribute ideas and collaborate closely with team members to improve data architecture, processes, and overall delivery. Involvement in requirements gathering, solution design, and data analysis to support data-driven decision-making . Collaborate with business stakeholders, Information analysts, operations team & different teams in delivering the scalable product About DataFan NDM team : You will be joining the NDM (Network DataMart) DataFan team, an agile team of highly skilled and multi-talented professionals focused on delivering high-quality data to stakeholders to support fiber rollout KPI steering & reporting within KPN . We are a frontrunner and pioneer in adopting KPN's future-state tools and technologies, including Fabric, IDMC, Witboost, and Astronomer with lot of new technologies to explore & grow ., * KPN Fixed Access Network team zoekt een DevOps Data Engineer * Team bestaat ~7 jaar, heeft succesvol gemigreerd naar nieuw dataplatform (Microsoft Fabric) * Twee senior Nederlanders verlaten het team na de migratie; één goede kandidaat al gevonden, nog één gezocht * AI-specialisten zijn ook al uitgestapt, alleen data engineering component blijft over Teamsamenstelling en Cultuur * Team van 8-9 mensen, waarvan 3 in India; overige KPN'ers ook van Indiase origine * Taco zoekt bewust een sterkere Nederlandse component als verbindende factor * Cultuur: langdurige relaties, lage doorstroom ("zeven jaar bij elkaar") * Filosofie: "happy people do the best work", ruimte voor persoonlijke ontwikkeling Profiel: Must-haves * Sterke communicator: verbinder tussen stakeholders, team, en informatieanalisten * Tweetalig: Engels is voertaal, Nederlands een pre voor stakeholdercommunicatie * Migratie-/transitie-ervaring: Fabric is nieuw, geen specialist vereist maar affiniteit met verandering * Fabric-kennis: lakehouse, warehouse, pipelines en dataflows komen allemaal aan bod * SQL en ETL-kennis (Informatica als wens, alternatieven bespreekbaar met product owner Raku) * AI-kennis is een grote pre als dit overdraagbaar is aan het team Praktische Details * Kantoor: één vaste dag per week, momenteel donderdag (kan wijzigen na 1 december) * Contract: per half jaar, maar intentie is langdurige invulling * Einddatum 1 juli is formeel, verlenging sterk verwacht * Gesprekken via Teams; product owner Raku neemt de uiteindelijke beslissing