Data Enablement Engineer — Build Trusted Data & UX

IKEA; Malmö kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

IKEA is seeking a Software Engineer in Data Enablement within the Data & Product area to help build a unified data platform that makes data easy to discover and trust for thousands of co-workers. You will design, build and operate APIs and services that enable data discovery and consumption.

You will work on integrations with Databricks, Microsoft Fabric, Collibra, SAP and M3, contributing to metadata visibility, data lineage and self-service access across IKEA's data landscape.

Qualifications

• Strong experience in software engineering and modern development practices.
• 1
• Experience building APIs, microservices or platform capabilities.
• 2
• Strong programming skills in one or more languages such as Python, TypeScript, Java, Go or similar.
• 3
• Experience with cloud platforms such as Azure and/or AWS.
• 4
• Experience with CI/CD and IaC.

Responsibilities

• Design, build and operate software products, APIs and services.
• Develop integrations across platforms such as Databricks, Fabric, Collibra, SAP, M3.
• Improve metadata visibility, data lineage and self-service access.
• Create reusable platform services and tooling for better UX.
• Adopt CI/CD, Infrastructure as Code and observability practices.
• Collaborate with Data Engineers, Data Management specialists, architects and platform teams.

Skills

Software engineering

APIs / microservices

Cloud platforms

CI/CD

Distributed systems

Data governance

Collaboration

Tools

Databricks

Microsoft Fabric

Collibra

SAP

M3

Job description

IKEA is seeking a Software Engineer in Data Enablement within the Data & Product area to help build a unified data platform that makes data easy to discover and trust for thousands of co-workers. You will design, build and operate APIs and services that enable data discovery and consumption.

You will work on integrations with Databricks, Microsoft Fabric, Collibra, SAP and M3, contributing to metadata visibility, data lineage and self-service access across IKEA's data landscape.