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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 retailer 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!
Job Responsibility:
Drive continuous improvement, collaboration, and knowledge sharing across the IKEA Data Engineering community
Establish and maintain paved roads, reference architectures, patterns, and reusable components that enable teams to build data products efficiently and consistently
Act as a senior individual contributor and role model for data engineering excellence across the organisation
Provide technical guidance, coaching, and mentorship to data engineers across teams, without formal people‑management responsibility
Facilitate communities of practice, guilds, or forums to align engineers to standards, tooling, and ways of working
Define and promote data engineering standards and best practices, covering ingestion, transformation, testing, observability, and lifecycle management
Ensure that data privacy and data security principles are embedded into data engineering patterns by design
Support compliance with relevant privacy and security requirements by enabling teams with secure, compliant default patterns
Support domain teams in establishing reusable, wellgoverned data assets that maximise connected value
Promote responsible data handling through clear ownership, documentation, and lifecycle practices
Work closely with platform leaders, platform engineers, architects and security stakeholders to ensure that privacy and security requirements are reflected in platforms, tooling and paved roads
Translate privacy and security constraints into practical, developer-friendly guidance for data engineers
Help ensure alignment between data engineering practices and IKEA’s broader data architecture principles
Collaborate with domain teams and stakeholders to understand needs and advise on scalable, practical data engineering solutions
Enable teams to make informed tradeoffs through guidance, patterns, and architectural support
Facilitate easy access to trusted data engineering insights, standards, and recommendations across IKEA
Support a culture of datadriven decision making by enabling reliable, wellstructured, and accessible data pipelines
Stay up to date with data engineering trends, tools, and practices, assessing their relevance at IKEA scale
Drive pragmatic improvements that balance innovation, stability, and longterm maintainability
Requirements:
Demonstrable experience as a Senior Data engineer in large, complex organisations
Strong expertise in modern data platforms and architectures
Proven ability to lead through influence as a senior individual contributor
Experience defining and scaling standards, patterns, and best practices, including data privacy and data security by design
Strong communicator who enjoys enabling and coaching other teams