Devops Data Engineer

KPNUtrechtEURESpublished 10/13/2026
Must-have:PythonAzureCloudDevOpsDataSenior

E: dyiar.hosseni@sourcepower.nl

Aanvraag nummer 88094

Opdracht toegevoegd: 12-10-2026

Locatie: Amersfoort

Klant: KPN

Uren per week: 37 uur

Uiterlijke aanbieddatum: 14-10-2026 10:00

Startdatum opdracht 19-10-2026

Einddatum opdracht 01-07-2027 met optie op verlenging

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DevOPS Data Engineer (33684-1)

Profile High level summary : 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 frame...