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Data Engineering Leader - Data & Technology, SCD

External
Interikeagroup logoInterikeagroup · Älmhult, Sweden
Full-timeOn-site3w ago
ComplianceDocumentationLeadershipLessMentoringPySpark
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About the role

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 data-driven solutions for our coworkers. We work in a modern multi cloud-based environment, and you will lead an engineering team, continuously developing and operating our 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 a Data Engineering Leader at IKEA, you will combine hands-on technical leadership with people leadership and stakeholder management. You will drive the strategic direction of data engineering, lead and develop the team, and ensure high-quality, scalable data solutions that support business needs, and decision-making processes across Core Business Supply. Your responsibilities will include: Lead, coach, and develop a high-performing team of Data Engineers, fostering a culture of technical excellence, collaboration, continuous learning, and innovation. Provide strategic technical leadership and direction for data modelling, data pipelines, and data platform architecture across Core Business Supply and the wider IKEA Data Engineering community. Design, develop, and maintain enterprise-grade data models and robust data pipelines to support business needs of analytics and self-service across Core Business Supply. Act as a central point of contact and escalation within the IKEA Data Engineering community, driving consistency, knowledge sharing, best practices, and continuous improvement of methodologies and tools. Collaborate closely with business stakeholders, architects, data scientists, analysts, product teams, and peers to translate complex supply chain and business requirements into scalable, performant, well-governed, and future-proof data 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. 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, semantic layers, and components that accelerate data product delivery 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 data-driven decision making 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. 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 are looking for an experienced Data Engineering Leader with strong technical expertise and proven people leadership skills. You have a minimum of 8 years' experience in data engineering, including significant experience leading and developing data engineering teams. You possess deep knowledge of modern data platforms (Databricks, Microsoft Fabric), advanced data modelling techniques together with SQL, Python and PySpark. The ideal applicant is a collaborative leader who takes ownership, builds strong cross-functional relationships, mentors and develops others, and loves sharing knowledge. You are a curious problem solver with excellent communication skills who thrives in a dynamic global environment. 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 . If you are a passionate data engineering leader who wants to shape the future of data capabilities at IKEA, we invite you to apply for this exciting opportunity. Join us as we continue to innovate and shape the future of our industry. We look forward to receiving your application in English.


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