Data Engineer

About the role

As a Data Engineer you will design, build and operate automated data pipelines that feed Business Intelligence and AI solutions across the company. You will work on Databricks Lakehouse platforms, integrate legacy systems such as SAP and ensure data is reliable, secure and ready for analytics.

Key responsibilities

• Create and maintain scalable ETL/ELT pipelines from multiple business domains.
• Design data models, transformations and preparation steps for BI and AI use cases.
• Integrate data from legacy enterprise applications (e.g., SAP) and document repositories.
• Monitor, optimise and ensure performance, reliability and security of data flows.
• Support AI initiatives by providing clean, governed data and staying current with data‑engineering trends.

Required profile

• Master’s degree in Computer Science, Data Engineering, Applied Mathematics or a related field.
• At least 2 years of experience as a Data Engineer, Analytics Engineer or AI/Data Engineer.
• Strong communication skills and fluent English.

Required skills

• SQL and Python programming.
• Databricks, AWS and modern Lakehouse architectures.
• ETL/ELT pipeline development, Delta Lake concepts.
• Git and CI/CD practices.
• Data modeling, data warehousing and data governance principles.
• Experience with SAP data sources, SharePoint, Power BI and Unity Catalog is a plus.