Senior Data Engineer - Business Support

Who you are We are looking for a Senior Data Engineer who wants to help us build better data products and strengthen how data supports decision-making across the business. You have strong technical skills in data engineering and enjoy working closely with others to solve real business problems. You are curious, collaborative, and motivated by creating reliable and scalable data solutions that support business planning, forecasting, performance management, and controlling. We believe you have: - Strong knowledge of SQL and data processing - Solid hands-on experience in Python - Experience building and maintaining scalable data pipelines and data products - Experience working with cloud platforms such as Google Cloud Platform, AWS, or Azure -Good proficiency in Terraform and infrastructure as code - Good understanding of software engineering practices such as Git, Agile ways of working, and DevOps - Experience or proficiency in Finance and Controlling from a data and analytics perspective is a strong advantage - Experience working with different environments such as development, test, and production - Ability to work closely with both technical and business stakeholders You are also someone who takes ownership, enjoys sharing knowledge, and wants to contribute to a strong team culture. What you'll be doing day to day As a Senior Data Engineer, you will contribute to building data solutions that support strategic decision-making and help make data more accessible, reliable, and useful across the business. You will: - Design, build, test, and maintain data pipelines and data products - Support use cases connected to business planning, financial forecasting, controlling, and performance follow-up - Work closely with Data Analysts, Data Scientists, and business stakeholders to understand needs and translate them into technical solutions - Use Python and SQL to process, transform, and automate data workflows - Support the setup and maintenance of environments using Terraform - Help secure data quality, reliability, maintainability, and appropriate security levels - Contribute to good engineering practices and knowledge sharing within the team - Work in a cross-functional setup where business value, collaboration, and continuous improvement are central Our team within IKEA We are part of Data & Analytics and work together with Data Engineers, Data Analysts, Data Scientists, and other colleagues across technology and the business. Together, we create data products and capabilities that support better planning, better decisions, and better outcomes for the business.