Senior Data Engineer

Michael Bailey Associates — Netherlands · Posted ~2 hours ago

Senior

Skills

Python PySpark SQL ETL/ELT CI/CD Automated testing Version control Azure or GCP Data modeling Terraform or Bicep Docker Kubernetes Apache Airflow Data lineage Azure GCP Terraform Bicep LLMs

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Summary ✨ AI‑Generated

A leading consultancy is seeking a Senior Data Engineer to build production-grade data platforms for major enterprise environments. You will develop ETL/ELT pipelines with Python, PySpark, and SQL; design lakehouses and dimensional models; automate infrastructure and workflows; and integrate AI capabilities while maintaining reliability, testing, CI/CD, and data lineage.

Highlights

A senior role with substantial technical ownership over enterprise-grade data platforms. The position emphasizes scalable infrastructure, high availability, modular architecture, strong engineering practices, modern cloud platforms, and opportunities to apply AI tools to improve engineering efficiency.

Description

We are looking for a Senior Data Engineer who treats pipelines like production software. Someone who builds scalable infrastructure, sets the technical standard, and delivers enterprise-grade data platforms. You’ll join a top consultancy, taking ownership of critical systems for major enterprises in aviation, banking, and retail. No quick fixes or taped-together scripts, you will build for high availability, modularity, and long-term reliability. What you'll be doing Build production-grade ETL/ELT pipelines using Python, PySpark, and SQL with CI/CD, automated testing, and version control from day oneDesign Medallion Lakehouses (Bronze/Silver/Gold) and dimensional models on Azure or GCPAutomate & orchestrate infrastructure and workflows using Terraform/Bicep, Docker, Kubernetes, and Apache AirflowIntegrate AI tools & LLMs into pipelines and workflows to drive measurable engineering efficiencyTranslate business logic into robust architecture while safeguarding data lineage and governance What you bring 6+ years of software/data engineering experience with a code-first mindset (Python, SQL, PySpark)Cloud & Lakehouse expertise on Azure (Databricks, Synapse) or GCP (BigQuery, Dataflow)Solid DevOps skills with Git, CI/CD, Docker, Kubernetes, and AirflowExposure to modern tooling like Kafka, dbt, or Infrastructure as CodeStrong stakeholder management and fluent English What you get Salary up to €7150/month, excluding secondary benefitsPermanent contract (32–40 hours) with hybrid flexibilityGenerous learning budget and paid training daysHardware & tech allowance including a high-spec laptop schemePension plan and regular team trips & social eventsPossibility for a lease car Feel free to apply even if you don't tick all the boxes.