Job description

To be successful in this role
You are passionate about generating continuous value through providing, analysing and utilising data and together with other Data engineers, Data scientist, product team(s) and other stakeholders. You thrive in understanding data needs and assisting in development of models and analysis.

You have an interest and proven track record in finding the most efficient ways to extract, transform and load data from different sources, to ensure that our digital solutions fulfil and adapt to actual and future business needs. Staying up to date with the latest technologies and best practices in data engineering and bringing this specialised knowledge to the whole organisation is a part of your toolbox. You have a great interest in the world around you andkeepyourself updated with the latest trends and future technology, just as we do.

You make mistakes sometimes that keep you evolving and learning as you are not afraid to find new ways to solve a challenging task together with your colleagues.

Your main responsibilities as the Data Engineer will be: Driving all aspects of collecting, analysing, integrating, modelling, processing and refining data from different sources across the IKEA ecosystem and external sources as needed by your product team or area. You will help design, build and maintain data pipelines. Evaluate business needs and objectives in collaboration with the Product Team and other stakeholders. Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition. Contribute to the development of analytical tools and programs, ensuring easy and standardised access and sharing of data. Work closely together with partners, peers and other relevant roles like data scientists, analysts or architects across IKEA as well as in your team. Mentor and coach junior data engineers in the team. Ensure application and consistency with relevant digital frameworks, principles, guidelines and standards. Document and make the relevant know-how available.

Required/Relevant work experience: Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing. Hands-on experience with database design in varying concepts. Working experience with Python or PySpark is required. Working experience and understanding of Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL is required. Experience in business processing mapping of data and analytics solutions. The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration. Experience in driving new data engineering developments (e.g. apply new cutting-edge data engineering methods to improve performance of data integration, use new tools to improve data quality, etc.) Experience preparing data for Data Science and Machine Learning. Preferred experience in retail and/or market research.

You enjoy an Agile and iterative, yet structured way of working and achieving results together with a team in a flexible environment, but also have a strong individual drive to deliver high quality results on time. You have great communication and networking skills and are fluent in written and spoken English.
Qualification

Qualifications:  Bachelors degree within Engineering, Computer science, Information Systems, Mathematics or related fields. Masters degree is preferred within Engineering, Computer science, Information Systems, Mathematics or related fields. 5+ years of experience in a similar role or Analyst working in running business activities as well as in agile project environments.  Experience of working alongside multiple teams and with an understanding of multiple product environments.