Senior Data Engineer

Requirements

• Your mindset and behaviours influence how our data platform evolves and how we work together as a team. Through your work, you directly contribute to modernising our data landscape, enabling smarter decisions and creating new opportunities across IKEA.
• 5+ years experience working within Data Engineering, proficient in Python/Pyspark and SQL
• Demonstratable experience as a Senior Data Engineer designing and implementing performance optimized and scalable data pipelines
• Experience in cloud providers (Azure, AWS, GCP) and Databricks Data Platforms (Databricks) and BI tools (Power BI)
• Exposure to concepts like Data Mesh, Data Lakehouse & Data Products is a plus
• A collaborative mindset - you enjoy supporting colleagues, improving ways of working and contributing to a healthy engineering culture
• A positive interest in developer experience and building simple, reliable solutions that are easy for others to use
• This role is full-time (40 hours per week) and will be based in Malmö. This role sits as part of Operations Management, in an area of Data & Analytics within Enabling Functions.
• For any questions regarding the application please contact Jas.Garcha@Inter.Ikea.com , this is an ongoing recruitment so we will be continuously reviewing applications. Please do not delay applying.

Benefits

Additional Information

As part of this role, you will Have responsibility for the development of data pipelines and supporting functions like metadata, data quality, lineage, monitoring, performance etc. Create a robust CI/CD process but not limited to infrastructure as code. Be part of a team and partake in activities such as daily standup, planning, backlog review, peer reviews etc. Proactively cooperate and align with our architecture, privacy and cyber security functions, including implementation of their input in the team Work collaboratively with business stakeholders and engineers in Sustainability and ensure alignment between cross-functional teams Align and share knowledge with other teams within the Data & Product area and sometimes also within Digital as a whole. Act as an ambassador for good engineering and developer experience - helping the team simplify, reduce friction and strengthen our engineering culture. Contribute to clear, pragmatic ways of working that help teams focus on delivering value rather than fighting complexity.

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Company Intel

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