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Job ID: R0014920, Date posted: 21/05/2026. 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.
Job Responsibility
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
Requirements
At least 5 years' experience as a Data Engineer or equivalent
Databricks or Fabric certified
deep operational knowledge of Python, SQL and PySpark
excellent knowledge of SQL, Python and PySpark
excellent working knowledge of Databricks, with Associate Data Engineer or Professional Data Engineer certification
good communication and collaboration skills
team player who takes ownership, builds cross-functional relationships
curious problem solver who wants to keep learning
shares IKEA values
Nice to have
Knowledge of Microsoft Fabric, ideally with DP-600 or DP-700 certification