Data Engineer – Databricks & Python
Bekijk en reageer bij Pauwels Consulting (externe link)
Data Engineer – Databricks & Python bij Pauwels Consulting, hybride Brussel (BE), fulltime, 10 maanden.
- Locatie
- Brussel, BE
- Werkvorm
- hybride
- Contractvorm
- detachering
- Startdatum
- Looptijd
- 10 maanden (tot 15 juli 2027)
- Gepubliceerd
- Uitgezet via
- Pauwels Consulting
Eisen
- Experience using DBT for data transformation and modeling
- Experience with data lake solutions such as Azure Data Lake or Delta Lake
- Experience connecting data sources via REST APIs and various database systems
- Hands-on experience with Databricks, Spark, and PySpark for processing large datasets
- Experience with Terraform or Pulumi for IaC
- Proactive and solution-oriented in a fail-fast environment
- Experience with Python, Java, or Scala for developing datastreams and ETL processes
- 3+ years of experience as a data engineer
- Fluent in Dutch with a C2 level
Wensen
- Familiarity with governmental data standards
Omschrijving
Our client, a prominent organization in the public sector, is looking for a professional to join their analytics division. The role involves developing AI and analytical building blocks for a modern data platform by exploring and validating new technologies through iterative feasibility studies.
Responsibilities: Explore and validate new data and AI technologies through short-cycle feasibility projects. Design and implement scalable ETL processes and data pipelines. Integrate diverse data sources such as databases and APIs into the central analytics platform. Collaborate in multidisciplinary teams to test hypotheses and demonstrate technical potential. Maintain data consistency, quality, and reliability across the entire pipeline lifecycle.
Implement Infrastructure as Code (IaC) to support and manage data environments.
Requirements: 3+ years of experience as a data engineer. Experience with Python, Java, or Scala for developing datastreams and ETL processes. Hands-on experience with Databricks, Spark, and PySpark for processing large datasets. Experience with data lake solutions such as Azure Data Lake or Delta Lake. Experience using DBT for data transformation and modeling. Experience with Terraform or Pulumi for IaC. Experience connecting data sources via REST APIs and various database systems.
Proactive and solution-oriented in a fail-fast environment. Fluent in Dutch with a C2 level.
Nice to haves: Familiarity with governmental data standards.
Offer: Start date: 15/09/2026.
Duration: 10 months.
Work regime: Full-time.
Location: Brussels.
Working model: Hybrid.
Contract: open to both permanent employees and freelancers.
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