Arbetsbeskrivning

Company Description

At IKEA, we believe that great products start with great data.

Within Supply Data & Analytics, we enable better decision-making across the IKEA value chain by transforming data into trusted, accessible, and actionable products. We work at the intersection of business, technology, and analytics to help IKEA deliver a better everyday life for the many people.

As part of our digital transformation journey, we are strengthening our engineering capabilities and looking for experienced individuals who are passionate about building data products that create real business value.

If you thrive in a collaborative environment, enjoy solving complex problems, and want to influence how data products are designed and consumed at scale, we'd love to hear from you.

Job Description

As a Product Data Engineer, you will be the senior engineer within a product team, responsible for shaping the design, structure, and quality of the data products we deliver.

You combine deep technical expertise with strong business understanding to create scalable, reusable, and trusted data products. You are comfortable leading technical discussions, challenging design decisions, mentoring other engineers, and translating business needs into sustainable technical solutions.

This role is ideal for someone who enjoys technical leadership and ownership but wants to remain hands-on and close to delivery.

You will work closely with Data Product Leaders, Architects, Data Engineers, Data Analysts, and business stakeholders to ensure our data products are valuable, governed, and built for long-term success.

More specifically, in this role you will be responsible to:

• Lead the design, development, and evolution of data products that create measurable business value across operational, analytical, and AI-driven use cases.
• Translate business processes and domain knowledge into scalable, reusable, and trusted data products, data models, and information structures.
• Own the design and implementation of conceptual, logical, and physical data models, driving modelling standards and best practices within the product team.
• Build and optimize modern data pipelines and transformations, ensuring high levels of quality, reliability, scalability, performance, security, and cost efficiency.
• Drive engineering excellence through automation, testing, CI/CD, observability, monitoring, documentation, and sound engineering practices.
• Act as the senior technical contributor within the team, guiding technical decisions and contributing to the product's technical direction.
• Mentor engineers and promote knowledge sharing, continuous improvement, and a strong engineering culture.
• Collaborate closely with product managers, architects, analysts, and business stakeholders to deliver sustainable and business-focused solutions.

Qualifications

We Believe You Have

• Extensive experience working as a Data Engineer, Analytics Engineer, Data Modeller, or similar role.
• Strong expertise in designing and implementing enterprise-scale data models.
• Deep knowledge of dimensional modelling, star schemas, semantic models, Data Vault, or similar modelling approaches.
• Advanced SQL skills and strong experience with Python, Spark, and PySpark.
• Experience with modern data platforms such as Databricks/ Microsoft Fabric.
• Strong understanding of Lakehouse architectures and cloud-based data platforms.
• Experience building end-to-end data products.
• Experience working with DataOps, CI/CD, version control, testing, and automation practices.
• Understanding of data governance, metadata management, lineage, privacy, and data quality principles.
• Ability to translate complex business requirements into scalable technical solutions.
• Experience mentoring engineers and influencing technical decisions without formal authority.

As a Person

You are curious, pragmatic, and passionate about solving business problems through technology.

You enjoy taking ownership of technical challenges and are comfortable navigating ambiguity. You naturally build trust through collaboration and communication, and you are equally comfortable discussing technical implementation details with engineers as you are discussing business outcomes with stakeholders.

You have a strong quality mindset and continuously look for opportunities to improve how data products are designed, delivered, and operated.

Additional information

We always recruit based on values, competence, potential and diversity.

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 than 1 Nov. 2026.

For more information about the position, please contact Hiring Manager Håkan Almblad, Data Engineering Manager at [email protected]. For questions regarding the recruitment process, please contact People & Culture Specialist Katie Pettersson at [email protected].

At IKEA we believe that we’re better when we’re physically together for collaboration, dialogues and conversations. We believe in the power of human interactions; the informal chats, the energy, belonging and creativity generated by people being in the same place. Our approach is that we spend majority of our time in the IKEA workplace and with flexibility to work from home when relevant.