Arbetsbeskrivning

Company Description

Together we work constantly to improve the IKEA home furnishing offer and make it more accessible for the many people. You will be part of IKEA Supply and the Supply Chain Development organisation. IKEA Supply is responsible for securing that the product offer is produced and delivered to our customers. We lead the supply agenda across many functions and work together with all business areas, different business units, but also retail markets to secure customer availability in all markets and sales channels at lowest total cost.

Job Description

Supply Data & Analytics has the assignment to create value and enable business growth by bringing data from across IKEA together to gather actionable insights. Data & Analytics is passionate about making data, analytics and insights easily findable and explainable for the many to enable better and faster decision-making.

We work closely with our business stakeholders and form product teams that deliver cutting edge data driven solutions for our coworkers.

We work in a modern multi cloud-based environment, and you will be a part of the engineering team continuously developing and operating data products and analytical capabilities. You will be regularly involved in workshops with coworkers to harness modern data infrastructure efficiently and provide long term solutions.

Supporting a complex organisation to realise the benefits that modern data engineering can bring is at the heart of the role.

As a Data Engineer at IKEA, you will play a key role in designing, building, and maintaining our data infrastructure to support business needs, and decision-making processes.

Your responsibilities will include:

• Design, develop, and maintain data models (including dimensional modelling, star/snowflake schemas, Data Vault, and Medallion architecture) to support business needs of analytics and self-service reporting across Core Business Supply.
• Design, implement, and maintain robust ETL/ELT pipelines that integrate diverse internal and external data sources (databases, APIs, real-time streams) into IKEAs data platforms.
• Collaborate closely with business stakeholders, architects, analysts, data product leaders, and data scientists to translate complex supply chain and business requirements into scalable, performant, and well-governed data models and solutions.
• Establish, promote, and enforce data engineering best practices, including data modelling standards, data quality, version control, testing, monitoring, documentation, and metadata management.
• Optimise data models and pipelines for performance, reliability, scalability, and cost-efficiency across batch and real-time processing.
• Ensure data is stored, processed, and accessed securely, with full adherence to data governance, privacy, and compliance standards.
• Contribute to the development and adoption of reusable frameworks, components, and semantic layers that accelerate data product delivery and increase consistency across the organisation.
• Stay current with emerging data engineering technologies and practices, applying them where they create clear business value.
• Promote a culture of data sharing, engineering excellence, and continuous improvement while guiding and developing less experienced coworkers through mentoring, code reviews, and knowledge sharing.

In this role you will report to our Data Engineering Manager within Data & Technology at IKEA Supply.

The role is office based, with flexibility to work from home where required.

Qualifications

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 company 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.

We believe that our new colleague in Data Engineering should have at least 5 years' experience in designing, building, implementing and operating data pipelines that collect, manage, and convert raw data into usable information, with a high industry standard as well as excellent knowledge of SQL, Python and PySpark.

In addition, excellent working knowledge of Databricks, with Associate Data Engineer or Professional Data Engineer certification is crucial. It would also be beneficial to have knowledge of Microsoft Fabric, ideally with DP-600 or DP-700 certification.

The ideal applicant has good communication and collaboration skills and will be a team player who takes ownership, builds cross-functional relationships with coworkers, and loves sharing knowledge. You are a curious problem solver who wants to keep learning in a dynamic global environment. The role is office based so meeting face to face and working collaboratively to solve problems should be something you enjoy.

The IKEA culture and values are crucial for our business and day to day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more regarding our values and life at IKEA here.

If you are passionate about data engineering, thrive in a collaborative environment, and want to contribute to the success of a global furniture retailer, we invite you to apply for this exciting opportunity. Join us as we continue to innovate and shape the future of our industry.

Additional information

We look forward to receiving your application in English. Please note that we will be interviewing continuously, which means that we may close the application process earlier than stated if we find the right candidate. This position will be based in Älmhult, Sweden. We regret that we are unable to handle applications made by e-mail. We encourage you to apply as soon as possible, but no later than 4 June. 2026.

For more information about the position, please contact Hiring Manager Data & Analytics Manager Ross Clabburn at [email protected]. For questions regarding the recruitment process, please contact People & Culture Specialist Katie Pettersson at [email protected].