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Software Engineer| Data Enablement | Data & Product

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
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What you’ll work on

Full posting
  • You will work across a broad technology landscape, connecting modern cloud platforms, metadata solutions and enterprise systems into a unified experience.

From the employer’s posting
You will be part of building a completely new capability that sits at the heart of IKEA's data, analytics and AI journey. Rather than developing a single application or supporting a specific business process, you will help create the products and experiences that thousands of coworkers and digital solutions rely on to find, trust and consume data. You will work across a broad technology landscape, connecting modern cloud platforms, metadata solutions and enterprise systems into a unified experience. The challenges are complex, the impact is significant and the opportunity to influence both the product and the engineering culture is substantial. Most importantly, you will help shape how data is used across IKEA for years to come.

What you’ll bring

All qualifications

Core experience

  • Strong experience in software engineering and modern development practices.
  • Experience building applications, APIs, microservices or platform capabilities.
  • Experience working with cloud platforms such as Azure and/or AWS.
  • Experience with CI/CD, automation, Infrastructure as Code and DevOps practices.
  • Understanding of distributed systems, system integration and scalable software architecture.
Qualification wording
Strong experience in software engineering and modern development practices.
Experience building applications, APIs, microservices or platform capabilities.
Experience working with cloud platforms such as Azure and/or AWS.
Experience with CI/CD, automation, Infrastructure as Code and DevOps practices.
Understanding of distributed systems, system integration and scalable software architecture.
Apply at Inter IKEA Group

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

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How this job compares

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Inter IKEA Group is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
Hiring record

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  • Java
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  • AWS
Where the posting names them
- Experience building applications, APIs, microservices or platform capabilities. - Strong programming skills in one or more languages such as Python, TypeScript, Java, Go or similar. - Experience working with cloud platforms such as Azure and/or AWS.
- Strong programming skills in one or more languages such as Python, TypeScript, Java, Go or similar. - Experience working with cloud platforms such as Azure and/or AWS. - Experience with CI/CD, automation, Infrastructure as Code and DevOps practices.
- Design, build and operate software products, services and APIs that enable data discovery and consumption. - Develop integrations across platforms such as Databricks, Microsoft Fabric, Collibra, SAP, M3 and other enterprise systems. - Build capabilities that improve metadata visibility, data lineage, self-service access and trusted data consumption.
As part of Data & Engineering, we are establishing a new Data Enablement team with a mission to make it easy for coworkers, digital products and AI solutions to find, trust and consume data across IKEA. The team will build a unified experience layer connecting platforms such as Databricks, Microsoft Fabric, Collibra, SAP, M3 and other enterprise systems. Together, we are creating the products, services and experiences that make trusted data easier to discover, understand and use across the organisation.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

As a Software Engineer in Data Enablement, you will help build the products and services that sit at the intersection of software engineering, data and user experience. 

You will work on capabilities that help users navigate IKEA's data landscape, discover trusted data products, understand data through metadata and lineage, and access data through intuitive self-service experiences. 

Working as part of a newly established product team, you will contribute to building a strategic platform that brings together data platforms, governance capabilities and enterprise systems into a seamless experience for consumers of data. 

As part of this role, you will: 

  • Design, build and operate software products, services and APIs that enable data discovery and consumption. 
  • Develop integrations across platforms such as Databricks, Microsoft Fabric, Collibra, SAP, M3 and other enterprise systems. 
  • Build capabilities that improve metadata visibility, data lineage, self-service access and trusted data consumption. 
  • Create reusable platform services, automation and engineering tooling that simplify the user experience. 
  • Contribute to modern engineering practices including CI/CD, Infrastructure as Code, automated testing and observability. 
  • Partner closely with Data Engineers, Data Management specialists, architects and platform teams to create integrated solutions. 
  • Help establish engineering standards, patterns and best practices within the team. 
  • Continuously improve scalability, reliability, performance and usability across the platform. 

This is not a traditional software engineering role. 

You will be part of building a completely new capability that sits at the heart of IKEA's data, analytics and AI journey. Rather than developing a single application or supporting a specific business process, you will help create the products and experiences that thousands of coworkers and digital solutions rely on to find, trust and consume data. 

You will work across a broad technology landscape, connecting modern cloud platforms, metadata solutions and enterprise systems into a unified experience. The challenges are complex, the impact is significant and the opportunity to influence both the product and the engineering culture is substantial. 

Most importantly, you will help shape how data is used across IKEA for years to come. 

Qualifications

We believe you are a curious and pragmatic software engineer who enjoys building products that simplify complex technology and create value for others. 

To be successful in this role, you have: 

  • Strong experience in software engineering and modern development practices. 
  • Experience building applications, APIs, microservices or platform capabilities. 
  • Strong programming skills in one or more languages such as Python, TypeScript, Java, Go or similar. 
  • Experience working with cloud platforms such as Azure and/or AWS. 
  • Experience with CI/CD, automation, Infrastructure as Code and DevOps practices. 
  • Understanding of distributed systems, system integration and scalable software architecture. 
  • Interest in data platforms, metadata, governance and developer experience. 
  • Strong collaboration and communication skills. 
  • A genuine passion for building products that enable others to succeed. 

 

Additional Information

Application date will finish on 18th November. We encourage you to apply as soon as possible .If you have any questions about the role or the recruitment process, or if you have a special need that requires accommodation in the recruitment process, feel free to contact the Recruiter Jas.garcha@inter.ikea.com. Please also note that we only handle applications in English and do not accept applications coming in by email.

At IKEA, we are looking for people who believe everyone deserves a seat at the table. You’re welcome no matter where you come from, what you believe, and what you look like. We don’t even care how you have furnished your home. We’re interested in you simply because you’re you. Even if your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. We believe that people’s different perspectives, backgrounds, and personalities make us better at understanding our customers dreams and needs. At IKEA, we’re all on the same project.    If you have a special need that requires accommodation in the recruitment process, just let us know.

Company Description

We are on the journey to transform our digital capabilities, bringing core business processes, people, data and technology together to enable IKEA to become an even better home furnishing retailer. This journey requires passionate people who embrace change, challenge the status quo and want to make a difference. 

As part of Data & Engineering, we are establishing a new Data Enablement team with a mission to make it easy for coworkers, digital products and AI solutions to find, trust and consume data across IKEA. 

The team will build a unified experience layer connecting platforms such as Databricks, Microsoft Fabric, Collibra, SAP, M3 and other enterprise systems. Together, we are creating the products, services and experiences that make trusted data easier to discover, understand and use across the organisation. 

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Delft, ZH, Netherlands

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