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Data Engineer
2 months ago
IPEX is a cutting-edge digital solutions provider that empowers customers to find their personal best home furnishing solutions. Our mission is to support and enable customers to design homes and home furnishing solutions for the entire IKEA range, across all IKEA retailers worldwide.
We run and develop digital solutions that facilitate seamless buying and selling experiences, converting visitors into happy customers and engaging with our customers from the start. Our solutions are an integral part of the entire IKEA ecosystem, spanning over 50 markets and 400 stores.
Job SummaryWe are seeking a highly skilled Data Engineer to join our IPEX team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and tools that enable our teams to work in a data-driven way. You will work closely with other Data Engineers, Data Scientists, Product Teams, and stakeholders to create solutions that enable customers to design any space in their homes and businesses digitally.
Main Responsibilities- Design and Build Data Pipelines: Drive 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.
- Collaborate with Stakeholders: Evaluate business needs and objectives in collaboration with the Product Team and other stakeholders.
- Enhance Data Quality and Reliability: Explore ways to enhance data quality and reliability.
- Identify Opportunities for Data Acquisition: Identify opportunities for data acquisition.
- Develop Analytical Tools and Programs: Contribute to the development of analytical tools and programs, ensuring easy and standardised access and sharing of data.
- Mentor and Coach Junior Data Engineers: Mentor and coach junior data engineers in the team.
- Ensure Consistency with Digital Frameworks: Ensure application and consistency with relevant digital frameworks, principles, guidelines, and standards.
- Document and Share Knowledge: Document and make the relevant know-how available.
- Strong Knowledge in Data Engineering: Strong knowledge in designing efficient, robust, and automated data pipelines, ETL workflows, data warehousing, and Big Data processing.
- Database Design Experience: Hands-on experience with database design in varying concepts.
- Programming Skills: Working experience with Python or PySpark is required.
- Azure Experience: Working experience and understanding of Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL is required.
- Business Processing Mapping: Experience in business processing mapping of data and analytics solutions.
- Applying Data Engineering Methods: 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.
- Driving New Developments: Experience in driving new data engineering developments (e.g. applying new cutting-edge data engineering methods to improve performance of data integration, using new tools to improve data quality, etc.).
- Preparing Data for Data Science and Machine Learning: Experience preparing data for Data Science and Machine Learning.
- Preferred Experience in Retail and/or Market Research: Preferred experience in retail and/or market research.
- Bachelor's or Master's Degree: Bachelor's degree within Engineering, Computer Science, Information Systems, Mathematics, or related fields. Master's degree is preferred within Engineering, Computer Science, Information Systems, Mathematics, or related fields.
- 5+ Years of Experience: 5+ years of experience in a similar role or Analyst working in running business activities as well as in agile project environments.
- Team Collaboration: Experience of working alongside multiple teams and with an understanding of multiple product environments.
