Senior Data Engineer

IKEA; Malmö kommun; On-site; SEK 750,000 - 1,100,000; Full time

Job summary

IKEA Malmö is seeking a Senior Data Engineer to build and operate scalable data pipelines across the value chain. You will enable data-driven decisions by delivering reliable data foundations and clear data products in a collaborative, agile environment.

You will work with Python, PySpark and SQL on cloud platforms such as Databricks, Azure and AWS, helping to modernise our data landscape and empower colleagues with fast, accurate insights.

Qualifications

• 5 years of experience in Data Engineering, with Python/PySpark and SQL.
• Design and implement scalable data pipelines.
• Experience with cloud data platforms (Databricks) and data products.
• Knowledge of Data Mesh or Data Lakehouse is a plus.

Responsibilities

• Develop data pipelines and supporting functions like metadata, data quality, lineage, monitoring.
• Promote engineering practices and improve developer experience within the team.
• Collaborate with stakeholders across Sustainability and Data & Analytics functions.
• Contribute to the health and evolution of the data platform.

Skills

Python

PySpark

SQL

Data Modeling

Data Mesh

Data Lakehouse

Cloud Platforms

Tools

Databricks

Azure

AWS

GCP

Job description

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 Description

We want to make data a democratic resource, from both an operational and analytical perspective, available to all IKEA co-workers in an accessible and easy‑to‑use context. Transforming how we find, interact and derive insights and knowledge from all parts of our value chain.

Your mission

To craft a relevant and reliable data foundation across our value chain through clear data domains and well‑managed data products. Some of these we will build ourselves, and others we will enable by supporting colleagues across IKEA. We work closely with teams across the value chain to help them succeed and to support our shared strategic ambitions.

Sustainability team works on improving the environmental and societal impact of IKEA. The data platform is hosted entirely on Azure Cloud and Databricks (soon also extended to AWS), with most data pipelines for digital products written in Python. We are a devops team with the full responsibility of the data product delivery. All digital- and data product teams consist of engineers and a Product Owner, and work with an Agile mindset.

As part of this role, you will

• Have responsibility for the development of data pipelines and supporting functions like metadata, data quality, lineage, monitoring etc.
• 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.
• 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.

Who You Are

As a Senior Data Engineer, you bring technical depth, curiosity and a genuine drive to make things better. You enjoy solving real problems and helping others succeed, and you take pride in building solutions that are reliable, simple and easy to maintain. You play an important role in designing, improving and operating our data ecosystem - creating pipelines and data products that support both daily operations and long‑term ambitions.

You set a positive example in the team by promoting good engineering practices, raising quality standards in a humble way, and contributing to a culture where learning, openness and collaboration come naturally. You are comfortable working across domains, partnering with both engineers and business stakeholders to find practical solutions that create value.

You also care about the developer experience. You help shape an environment where engineers can focus on building, learning and delivering - not fighting complexity. You simplify where possible, share knowledge generously and support ways of working that strengthen our engineering culture across teams.

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.

Qualifications

• 5 years experience working within Data Engineering, proficient in Python/Pyspark and SQL
• Demonstratable experience as a Senior Data Engineer designing and implementing performance optimised and scalable data pipelines
• Experience in cloud providers (Azure, AWS, GCP) and Data Platforms (Databricks)
• Exposure to concepts like Data Mesh, Data Lakehouse & Data Products is a plus
• Take ownership of data quality, performance, security, and operational stability.
• Proactively identify and drive improvements.
• Take responsibility for the health and evolution of the data platform.
• Translate business needs into technical solutions.
• Set high engineering standards through their own actions.
• Coach and mentor less experienced engineers.
• 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

Additional Information

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.

Applications will close 19th November.

At IKEA, we are looking for people who believe everyone deserves a seat at the table. You’re welcome no matter where you come from, what you believe, and what you look like. We don’t even care how you have furnished your home. We’re interested in you simply because you’re you. Even if your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. We believe that people’s different perspectives, backgrounds, and personalities make us better at understanding our customers dreams and needs. At IKEA, we’re all on the same project. If you have a special need that requires accommodation in the recruitment process, just let us know.