Data Platform Engineer for Self-Serve Analytics

IKEA; Malmö kommun; On-site; SEK 850,000 - 1,100,000; Full time

Job summary

IKEA in Malmö is seeking a Software Engineer to join the Data & Engineering platform team and help build a modern data foundation for self-serve analytics at scale.

You’ll work at the intersection of software, data and platform engineering, enabling teams across the organization to discover, access, and use data with strong DevOps and cloud practices. This role emphasizes long-term scalability and collaboration with analytics and domain teams.

Qualifications

• Strong experience in software engineering (Python, JS/TS, Go, or similar).
• Experience working with data platforms or data-intensive systems.
• Hands-on experience with Databricks or similar distributed data frameworks (e.g., Spark).
• Experience with cloud platforms (Azure and/or AWS).
• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure-as-code, and automation.
• Experience designing APIs, services, or reusable platform components.

Responsibilities

• Build and evolve our data platform capabilities to support self-service analytics and data product thinking.
• Design and develop platform services, tooling, and frameworks that enable data producers and consumers.
• Work with Databricks as a core component of our modern data platform.
• Contribute to our knowledge graph / metadata layer, improving discoverability, lineage, and data understanding.
• Implement and promote DevOps practices (CI/CD, automation, testing, IaC) for data and platform engineering.
• Develop solutions across multi-cloud environments (Azure & AWS).
• Collaborate with data engineers, analysts, and domain teams to remove friction and improve developer experience.
• Drive standardization, scalability, and best practices across the platform.

Skills

Software engineering

Data platforms

DevOps

API design

Cloud platforms

Programming languages

Tools

Databricks

Azure

AWS

Job description

IKEA in Malmö is seeking a Software Engineer to join the Data & Engineering platform team and help build a modern data foundation for self-serve analytics at scale.

You’ll work at the intersection of software, data and platform engineering, enabling teams across the organization to discover, access, and use data with strong DevOps and cloud practices. This role emphasizes long-term scalability and collaboration with analytics and domain teams.