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Data Engineer - Data & Technology, SCD

Sweden, Älmhult · Job Posted May 27, 2026
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Job Description

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

What we offer

  • Opportunity to develop your career globally
  • vibrant culture where ideas are heard
  • opportunity to learn new skills
  • flexible work from home

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