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Job ID: REF17525T

Date posted: 28/02/2024

You see things a little differently. So do we! At IKEA, we believe that what you value is more important than what your CV says. We offer positions that will challenge your skills and let you grow. Come see things a little differently with us.

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’re doing some amazing things in IKEA Supply chain; therefore, we need some amazing people – this position is not an exception.

We believe that our new colleague should have extensive experience in designing and implementing data pipelines as well as excellent knowledge of Python, SQL, and database scripting languages in general as well as general-purpose data handling languages. In addition, extensive experience of Azure and Databricks (ideally with certifications) as well as experience with data modelling, ELT development, and data warehousing solutions.

The ideal applicant has good communication and collaboration skills and will be a team player who takes ownership, builds cross-functional relationships with coworkers, and loves sharing knowledge. You are a curious world class problem solver who wants to keep learning in a dynamic global environment.

The applicant has a Bachelor’s or master’s degree in computer engineering/science, information technology, or alternatively similar real world experience. We are looking for a person with proven experience as a data engineer (or in a similar role) with at least 5 years working knowledge.

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 passionate about data engineering, thrive in a collaborative environment, and want to contribute to the success of a global furniture retailer, we invite you to apply for this exciting opportunity. Join us as we continue to innovate and shape the future of our industry.


Qualification


Analytics Management Supply has the assignment to create value and enable business movements by bringing data, competence, and the right tools from across IKEA together. We are working closely with business and product teams that deliver cutting edge, data driven solutions for the many IKEA coworkers.

We work in a modern cloud-based Azure environment, and you will be a part of the team continuously developing our data platform and integration 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 Engineer at IKEA, you will play a key role in designing, building, and maintaining our data infrastructure to support business intelligence, analytics, and decision-making processes.

Your responsibilities will include:

  • Data ingestion and integration, including identifying and integrating data from various on-premises/cloud/hybrid sources, including internal databases, external APIs, and third-party vendors.
  • Develop and implement efficient and scalable processes for data extraction, loading & transformation (ELT) into our data lake, ensuring timely and accurate data processing.
  • Implement and optimize data models to facilitate efficient storage and retrieval of information.
  • Implement data governance policies to ensure compliance with industry regulations and internal standards. Enhance data security measures to protect sensitive information.
  • Provide subject matter expertise and operational know-how to support data product teams with conversion of data related business requirements into data architectures and technical solutions.
  • Document and make the operational know-how of the data infrastructure and engineering solutions work available for the IKEA ecosystem and ensure awareness around available data.
  • Leverage best practices in continuous integration and delivery.
  • Ensure cost conscious and maintainable solutions.

In this role you will report to our Analytics Management Manager within Data & Technology at IKEA Supply.


More Information


Together we work constantly to improve the IKEA home furnishing offer and make it more accessible for the many people. You will be part of IKEA Supply and the Supply Chain Development organisation. IKEA Supply is responsible for securing that the product offer is produced and delivered to our customers. We lead the supply agenda across many functions and work together with all business areas, different business units, but also retail markets to secure customer availability in all markets and sales channels at lowest total cost.

We create a workplace where everyone feels free to be themselves – to experiment, try new ways, and dare to ask, “What if…?” We believe in everyday personal growth and offer the opportunity to develop your career globally. At IKEA we have a vibrant culture where ideas are heard, where there is opportunity to learn new skills and where the goal always is "to create a better everyday life for the many people". We give down-to-earth, straightforward people the possibility to grow, both as individuals and in their professional roles. We offer this position in a fast paced, truly global environment with an endless supply of challenges and development opportunities.

Questions & Support? Let’s connect.

This position is located in Älmhult/Malmö, Sweden, Warsaw, Poland or Pratteln, Switzerland. Please also note that we do only handle applications in English and no applications coming in by email. We look forward to receiving your application at the latest 17th of March 2024.

If you have any questions about the role, please reach out to Alexander Funcke, acting Data Engineering Leader, alexander.funcke@inter.ikea.com, Robert Pernetun, IKEA Supply Data & Analytics Manager, robert.prenetun1@inter.ikea.com, or questions about the recruitment process feel free to connect with Dan Gustafsson, dan.gustafsson@inter.ikea.com, People & Culture Leader.

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Deadline: 13-05-2024

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