Data Engineer

About Cronos Europa: Cronos Europa is a leading IT and digital transformation partner dedicated exclusively to European Institutions and agencies, delivering mission‑critical solutions that shape Europe’s digital future. As part of the Cronos Group, one of the most innovative and fastest‑growing tech ecosystems in Europe, we benefit from a vast pool of expertise and cutting‑edge capabilities. With over 1,000 specialists across Belgium, Luxembourg, and the Netherlands, we combine deep institutional knowledge with strong engineering excellence to support long‑term, high‑impact EU programmes requiring reliability, scalability, and innovation. About the job We are looking for a Data Engineer focused on the hands‑on execution and technical delivery of data solutions. Reporting to the solution architect, he will build, optimize, and maintain data pipelines and Lakehouse structures within the Microsoft Fabric ecosystem, converting architectural designs into high-performance, scalable and efficient data delivery. Key Responsibilities Delta Lake implementation: Build and optimize physical storage layers (Bronze/Silver/Gold) using Delta Lake formats, ensuring proper partitioning and Z-Ordering. Pipeline execution: Construct robust ETL/ELT workflows using Fabric Data Factory, Spark, and custom code to move data from diverse sources into OneLake. Custom application development: Write and maintain high-performance data processing modules or custom connectors using Java and/or Python. Cross-platform integration: Implement data bridges between Microsoft Fabric and external environments (e.g., AWS, GCP, or on‑premises systems) using Shortcuts and APIs. Code‑based transformations: Develop sophisticated logic within Spark Notebooks to handle complex data cleansing and business logic application. System testing: Perform rigorous unit testing, data profiling, and performance benchmarking to ensure pipeline stability and data integrity. Your Profile Following skills and knowledge are required for the performance of the above listed tasks: Core Engineering Languages: Expert proficiency in SQL and Python (PySpark); strong working knowledge of Java for backend data processing or SDK integrations. Generic Data Engineering: Solid understanding of Software Engineering principles applied to data (DRY code, modularity, error handling, and logging). Data Structures: Proficiency in working with structured, semi‑structured (JSON/XML), and unstructured data formats. DevOps & CI/CD: Practical experience with Git, branching strategies, and automating deployments through Azure DevOps or GitHub Actions. Distributed Computing: Strong grasp of Apache Spark internals, memory management, and execution plans. Languages: Good knowledge of written/spoken English (working language). Knowledge of French is an asset. Master’s level or 5 years of higher education. Specific Expertise Fabric Delta Lake Management: Expertise in optimizing and managing transaction logs within the Fabric Lakehouse. Multi‑stack Integration: Proven ability to connect Fabric with non‑Microsoft tools, utilizing generic JDBC/ODBC drivers or REST APIs. Performance Tuning: Deep experience in identifying bottlenecks in data flows and optimizing code for low‑latency processing. Data Design Patterns: Practical experience implementing standard patterns like SCD (Slowly Changing Dimensions), Change Data Capture ingestion and idempotency in a Delta Lake environment. Certifications & Standards Microsoft Focus: DP-700 (Microsoft Certified: Fabric Data Engineer Associate) – required. Generic/Cloud Focus: DP-203 (Azure Data Engineer) or equivalent certifications from Databricks (Data Engineer Associate) or AWS – a plus. If you wish to integrate a dynamic structure on a human scale while working with the latest technologies, don't wait anymore and join Cronos! #J-18808-Ljbffr