Data Engineer

3 days ago


Malmo, Skåne, Sweden TN Sweden Full time
Job Description:

Social Network Integration Specialist:

To Be Successful In This Role

You are passionate about generating continuous value through providing, analyzing and utilising data and together with other Data Engineers, Data Scientists, product teams and other stakeholders. You thrive in understanding data needs and assisting in development of models and analysis.

Main Responsibilities:

  • 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 Skills and Qualifications:

  • 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.

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