Arbetsbeskrivning

Company Description

We are on the journey to transform our digital capabilities, bringing core business processes, people, data & technology together - an enabler for IKEA to become an even better home furnishing retailer in the future. A journey that needs passionate people who embrace change, dare to question and want to make a difference. If that sounds like you, come and join us. Together we can do great things!

Inter IKEA Group is organized into three core businesses - Range, Supply and Retail Concept - and five enabling functions. Together we contribute to the success of IKEA and share responsibility for the franchise offer.

The enabling functions are responsible for leading key common activities in networks across Inter IKEA Group, as well as covering specific needs for the core businesses. The five Enabling functions are Operations Management, Business Performance & Support, Communication, Sustainability and People & Culture.

At IKEA, we believe that great data is the foundation for better decisions, better experiences, and a better everyday life for the many people.

We are now looking for a Software Engineering Manager to lead engineering teams shaping our core data foundation. In this role, you will help build and evolve the platforms that power analytics, insights, AI, and operations across our business. Together with your team, you will work on scalable data platforms and capabilities such as Databricks-based processing, the IKEA Data Warehouse (IDW), and Knowledge Graph solutions. These are key building blocks that make our data reliable, connected, and ready to create value.

You will lead and support engineering teams delivering core data platform capabilities, including Databricks, large-scale processing, and the modernisation of the IKEA Data Warehouse (IDW), alongside knowledge graph and semantic modelling initiatives. You will take end-to-end ownership of platform delivery, stability, and continuous improvement while driving modern, scalable, domain-oriented data architectures in collaboration with Data & Analytics, Platform, and Domain teams. You will ensure high standards in data quality, governance, performance, security, and compliance, while embedding best practices in engineering, CI/CD, automation, and shaping the long-term data platform strategy.

Who You Are

You are a people-first leader who believes in creating a positive, inclusive, and collaborative environment where teams can thrive. You enjoy developing others, building strong relationships, and working together to solve complex challenges.

You are curious about how data can create value and excited about shaping the future of data platforms in a large, global organisation.

You bring:

• A passion for leading and growing people, and helping teams succeed together
• A collaborative mindset and experience working across different teams and domains
• An interest in modern data architectures and enabling data as a product
• A strong sense of ownership and a focus on quality, simplicity, and continuous improvement
• Curiosity around emerging areas such as knowledge graphs and semantic data

Qualifications

• Experience as an Engineering Manager or Senior Technical Lead within data or platform engineering
• Strong background in data platforms, data engineering, or distributed systems
• Experience working with: Databricks, Spark, or similar large-scale data processing technologies
• Experience with Cloud platforms and modern data ecosystems, Data warehousing and/or data lake architectures
• Good understanding of: Data governance and data lifecycle management API-driven and event-driven architectures
• Experience contributing to platform or architecture direction and decisions.
• Familiarity with knowledge graphs, semantic technologies, or metadata-driven architectures is a plus