Are you a hands‑on Data Engineer who enjoys building robust data platforms in Azure and turning complex data landscapes into reliable, high‑quality datasets for analytics and reporting? Then this might be the right role for you.

About the role

As a Data Engineer, you will build and run our central Data Foundation platform, the single source of truth for the organization. You will work mainly in Azure with a lakehouse architecture (Azure Data Lake, Data Factory, Databricks) to collect, transform and consolidate data from ERPs, CRMs and other systems. Your work will enable analytics and Power BI reporting for Finance, Sales, Logistics, Sustainability, Management and other functions.

You combine strong engineering skills with a high sense of ownership, quality and collaboration in a business‑critical environment.

Key responsibilities

• Design, develop and maintain data pipelines and models in our Data Foundation platform.

• Build and optimize ingestion in Azure Data Factory from ERPs, CRMs and internal/external sources.

• Develop and maintain transformation logic in Databricks (SQL and Python) and implement scalable lakehouse / dimensional models.

• Profile, map and validate data to ensure high data quality and consistency for downstream analytics.

• Monitor and operate pipelines and platform components (scheduling, performance, availability, error handling) according to SLAs.

• Troubleshoot and resolve incidents, perform root cause analysis and implement preventative improvements.

• Act as a 2nd/3rd line expert for data platform and pipeline issues.

• Contribute to architecture, standards, reusable components and best practices.

• Collaborate with business stakeholders, application owners, BI developers, data analysts, architects and vendors to translate requirements into data solutions.

• Create and maintain technical documentation for pipelines, datasets and models.

Your profile

Education & experience

• Bachelor’s degree in computer science, Information Systems, Engineering, Mathematics or similar, or equivalent experience.

• 3–5+ years as Data Engineer, BI/Data Warehouse Developer or similar.

• Experience in operating and supporting data pipelines and data products in production.

Technical skills

• Hands‑on experience with Azure Data Lake, Azure Data Factory and Databricks.

• Strong skills in building and operating batch and/or streaming data pipelines in a lakehouse or data warehouse.

• Solid SQL and Python skills for data engineering, ideally in Databricks.

• Good understanding of relational/analytical databases and performance optimization.

• Knowledge of data governance, data quality, security and handling of sensitive data.

• Experience with monitoring, logging, alerting and ITSM processes (incident/problem/change management).

• Familiarity with CI/CD, version control and automated testing for data pipelines.

• Experience enabling analytics in Power BI is a plus.

Behavioural competencies

• Strong analytical thinking and problem‑solving in complex data landscapes.

• High ownership and accountability for stability, performance and quality.

• Service‑oriented mindset with clear, proactive communication to stakeholders.

• Collaborative team player who shares knowledge and contributes to common standards.

• Quality‑focused, structured and documentation‑oriented.

• Adaptable and curious, able to learn new tools and domains and manage changing priorities.

• Good planning and prioritization skills, balancing projects and operational work.

What we offer

You will be part of a growing data and analytics landscape where your work directly influences how the business understands data and makes decisions. You will work closely with our Product Owner and Data Analyst in combination with many colleagues across IT and the business, in a modern cloud environment where you can help shape our data platform and ways of working.