Senior Data Engineer

Added
13 days ago
Type
Full time
Salary
Salary not provided

Related skills

docker sql python kubernetes apache spark

πŸ“‹ Description

  • Apply software engineering best practices to data architectures.
  • Develop robust ETL/ELT workflows with Python, PySpark, and SQL.
  • Design scalable Medallion data architectures in cloud.
  • Use IaC with Terraform or Bicep to manage deployments; Docker/Kubernetes.
  • Leverage AI-assisted tooling to build smarter pipelines and add LLM capabilities.
  • Drive CI/CD with Azure DevOps/GitHub Actions and Apache Airflow; collaborate with stakeholders.

🎯 Requirements

  • 6+ years software development experience.
  • Expert Python and SQL skills (PostgreSQL, MS SQL, Oracle).
  • Deep Apache Spark and PySpark experience.
  • Cloud data platforms: Azure Databricks/Synapse and/or GCP BigQuery/Dataflow.
  • Docker, Kubernetes, and Apache Airflow; Git and CI/CD pipelines.
  • Data Lake/Lakehouse modeling; Dutch knowledge valued.

🎁 Benefits

  • Unlimited Growth Days for professional development.
  • Private laptop up to €4,000; tech budget.
  • Annual training budget of €2,400.
  • 3.75% pension contribution.
  • Team trips and events.
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