Data Engineer - SCD

Ikea; Stockanäs; On-site; SEK 700,000 - 1,100,000; Full time

Job summary

IKEA Supply Data & Analytics is looking for a Data Engineer to design, build, and maintain our data infrastructure to support business needs and decision making. You will work in a modern, multi-cloud environment and partner with stakeholders to deliver data products that empower self-service analytics.

You should have 5+ years in data engineering, deep knowledge of SQL, Python and PySpark, and Databricks or Fabric certification.

Qualifications

• 5+ years experience designing, building, and operating data pipelines.
• Strong knowledge of SQL, Python and PySpark.
• Databricks experience; certification (Associate/Professional) desirable.
• Knowledge of Microsoft Fabric (DP-600/DP-700) beneficial.
• Good communication and collaboration; team player.

Responsibilities

• Design, build, and maintain data models to support analytics and reporting across Core Business Supply.
• Develop and maintain robust ETL/ELT pipelines integrating diverse data sources.
• Collaborate with stakeholders, architects, analysts, and data scientists to translate requirements into scalable data solutions.
• Establish data engineering best practices: data modelling standards, quality, version control, testing, and documentation.
• Optimize models and pipelines for performance, reliability, and cost across batch and real-time processing.
• Ensure data security, governance, and compliance.

Skills

Data engineering

SQL

Python

PySpark

Databricks

Microsoft Fabric

Tools

Databricks

Microsoft Fabric

Job description

Together we work constantly to improve the IKEA home furnishing offer and make it more accessible for the many people.You will bepart ofIKEA Supply and the Supply Chain Development organisation.IKEA Supply is responsible for securing that the product offer is produced and delivered to our customers. We lead the supply agenda across many functions and work together with all business areas, different business units, but also retail markets to secure customer availability in all markets and sales channels at lowest total cost.

We create a workplace where everyone feels free to be themselves – to experiment, try new ways, and dare to ask, “What if…?” We believe in everyday personal growth and offer the opportunity to develop your career globally.At IKEA we have a vibrant culture where ideas are heard, where there is opportunity to learn new skills and where the goal always is "to create a better everyday life for the many people". We give down-to-earth, straightforward people the possibility to grow, both as individuals and in their professional roles. We offer this position in a fast paced, truly global environment with an endless supply of challenges and development opportunities.

Is This Role for Me?

• Do you share IKEA’s values?


• Do you have at least 5 years' experience as a Data Engineer or equivalent?


• Are you Databricks or Fabric certified?


• Do you have deep operational knowledge of Python, SQL and PySpark?

If your answer is yes to at least three of the four statements above, then come and join us at IKEA!

Job Description

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.

As aData Engineer at IKEA, you will play a key role in designing, building, and maintaining our data infrastructure to support business needs, and decision-making processes.

Your responsibilities will include:

• 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.

In this role you will report to our Data Engineering Manager within Data & Technology at IKEA Supply.

The role is office based, with flexibility to work from home where required.

Qualifications

We are on the journey to transform our digital capabilities, bringing core business processes, people & data & technology together - an enabler for IKEA to become an even better home furnishing company in the future. A journey that needs passionate people who embrace change, dare to question, and want to make a difference. If that sounds like you, come and join us. Together we can do great things.

We believe that our new colleague in Data Engineering should have at least 5 years' experience in designing, building, implementing and operating data pipelines that collect, manage, and convert raw data into usable information, with a high industry standard as well as excellent knowledge of SQL, Python and PySpark.

In addition, excellent working knowledge of Databricks, with Associate Data Engineer or Professional Data Engineer certification is crucial. It would also be beneficial to have knowledge of Microsoft Fabric, ideally with DP-600 or DP-700 certification.

The ideal applicant has good communication and collaboration skills and will be a team player who takes ownership, builds cross-functional relationships with coworkers, and loves sharing knowledge. You are a curious problem solver who wants to keep learning in a dynamic global environment. The role is office based so meeting face to face and working collaboratively to solve problems should be something you enjoy.

The IKEA culture and values are crucial for our business and day to day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more regarding our values and life at IKEA here .

Additional Information

We look forward to receiving your application in English. Please note that we will be interviewing continuously, which means that we may close the application process earlier than stated if we find the right candidate. This position will be based in Älmhult, Sweden. We regret that we are unable to handle applications made by e-mail. We encourage you to apply as soon as possible, but no later than22 Oct. 2026.

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