Senior Data Engineer (Cloud Data Platform)

Our client’s Data Platform & Engineering team builds the data foundation for analytics and AI across four streams:

• Data Ingestion & Integration
• Lakehouse Modelling & Data Products
• Data Quality & Observability
• Security, Governance & DataOps

Your role:

• Design and build scalable batch and streaming pipelines (ELT/ETL) on a modern cloud lakehouse platform.
• Develop data models and data products across raw, curated and consumption layers, following domain-ownership and data mesh principles.
• Implement automated data quality checks, testing, lineage and observability for critical pipelines.
• Define and monitor SLAs / SLOs, manage incidents and perform root-cause analysis on data issues.
• Apply security and privacy controls (access management, masking, encryption, retention) in line with GDPR and internal policies.
• Publish metadata, lineage and business definitions to the data catalogue together with data stewards.
• Champion DataOps practices (version control, code review, CI/CD, infrastructure-as-code) and mentor junior engineers.

Required profile.

• Master’s or Bachelor’s degree in computer science, engineering or information systems.
• 5+ years in data engineering, including significant experience on Azure, AWS or GCP.
• Strong SQL and Python; Spark / PySpark and a lakehouse platform (Databricks, Snowflake, Fabric or BigQuery).
• Orchestration and transformation tools (Airflow, Azure Data Factory, dbt); Kafka is a plus.
• Solid knowledge of data modelling, data quality and metadata management; GDPR awareness.
• Fluent in English, with Dutch or French.
• Team player
• Quick self-starter with a proactive attitude
• Strong problem-solving and analytical skills
• Clear communication across business and technology teams
• Comfortable in a dynamic, multicultural environment

We are always on the lookout for talented people to enrich our culture and growing family.