Job offer
Senior Data Engineer (Cloud Data Platform)
Engineer
Mission.
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.
Soft skills:
- 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