Product Data Engineer

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…