Senior Data Engineer | FCU Technology Team

Master’s degree (preferably in Computer Science, Data Engineering, Mathematics, Statistics or similar),, Commercial experience in data engineering, database development or data platform roles,, Strong understanding of data engineering fundamentals: ETL/ELT, data warehousing, lakehouse architectures,, Hands-on experience with Databricks, including: – building and maintaining Spark-based batch and/or streaming data pipelines, – working with Delta Lake (ACID tables, schema evolution, incremental processing, merges), – optimizing performance (partitioning, file compaction, query optimization), – developing pipelines using Databricks notebooks, jobs and workflows,, Very good knowledge of SQL (designing, writing and optimizing complex queries),, Experience with Python for data processing and transformations (e.g. pandas, PySpark),, Solid understanding of data modelling, data quality and data governance concepts,, Experience working with cloud-based data platforms (Azure preferred),, Ability to gather and translate business requirements into technical solutions,, Excellent communication skills and ability to work with both technical and non-technical stakeholders,, Ability to work effectively under pressure while maintaining a high level of accuracy,, Fluent written and spoken English,, Willingness to work in international project teams., Experience with streaming data processing (e.g. Spark Structured Streaming),, Knowledge of data governance or metadata tools (e.g. Collibra),, Experience in financial services, AML / AFC or regulatory-driven environments,, Additional languages: German, Dutch or French.

Employee Assistance Program, birthday day off, additional benefits e.g. medical pet care, lunch pass, flexible working time possible, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, employee referral program