Data Engineer

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 one Design Medallion Lakehouses (Bronze/Silver/Gold) and dimensional models on Azure or GCP Automate & orchestrate infrastructure and workflows using Terraform/Bicep, Docker, Kubernetes, and Apache Airflow Integrate AI tools & LLMs into pipelines and workflows to drive measurable engineering efficiency Translate 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 Airflow Exposure to modern tooling like Kafka, dbt, or Infrastructure as Code Strong stakeholder management and fluent English What you get Salary up to €7150/month , excluding secondary benefits Permanent contract (32–40 hours) with hybrid flexibility Generous learning budget and paid training days Hardware & tech allowance including a high-spec laptop scheme Pension plan and regular team trips & social events Possibility for a lease car Feel free to apply even if you don't tick all the boxes.