Azure Data Engineer

Job description

We are looking for five Azure Data Engineers , from junior talent to senior professionals, to join our Data team. Your role You will design, build and maintain scalable data pipelines and modern lakehouse solutions using Azure, Databricks, and SQL. You will integrate data from SAP, databases, APIs and cloud platforms, modernize legacy data warehouses, optimize performance and contribute to data governance, CI/CD and automation. Working closely with platform, analytics and business teams, you will deliver reliable data solutions supporting reporting, analytics and AI. What we’re looking for Experience in data engineering, ETL/ELT and enterprise data platforms Master’s or Bachelor's degree in relevant field or similar experience Familiarity with Azure services such as Data Factory, ADLS, Azure SQL, Synapse and Azure Functions Understanding of data warehousing, dimensional modelling and lakehouse architecture Experience with Git, CI/CD and Azure DevOps Strong problem-solving and collaboration skills Experience with streaming, Databricks Lakeflow, PySpark, Delta Lake, Terraform, SAP integrations or AI/ML data solutions is an advantage. What we offer An international, diverse and collaborative working environment A flexible 50/50 hybrid work model Opportunities for growth and involvement in modern data and AI initiatives Apply latest by 25 October 2026 via our careerspage. CVs send through email will not be processed. For more information about the positions please contact Head of Global Data Platforms and Integrations Sauli Kukkonen, Sauli.kukkonen(at) For more information regarding the process please contact TA Partner Miikka Enbuske miikka.enbuske(at) The selected candidate will be required to pass a security clearance vetting and health check (including drug tests) before commencing employment