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 doingBuild 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 governanceWhat you bring6+ 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 EnglishWhat you getSalary 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 carFeel free to apply even if you don't tick all the boxes.

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