Data Engineer in Supply Chain Development
vor 3 Wochen
IKEA is a global home furnishing company that is constantly improving its offer to make it more accessible to many people. As a Data Engineer in IKEA Supply Chain, you will be part of the Supply Chain Development organisation, responsible for securing the product offer is produced and delivered to customers.
Job DescriptionWe are looking for a Data Engineer to join our team in Supply Analytics Management. The role involves creating value and enabling business growth by bringing data from across IKEA together to gather actionable insights. You will work closely with business stakeholders and form product teams that deliver cutting-edge data-driven solutions for our coworkers.
Responsibilities- Data ingestion and integration, including identifying and integrating data from various on-premises/cloud/hybrid sources.
- Develop and implement efficient and scalable processes for data extraction, loading & transformation (ELT) into our data lake.
- 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.
- Document and make the operational know-how of the data infrastructure and engineering solutions available for the IKEA ecosystem.
- At least 5 years' experience in building systems that collect, manage, and convert raw data into usable information.
- Excellent knowledge of Python, SQL, and PySpark.
- Working knowledge of Databricks, ideally with Associate Data Engineer or Professional Data Engineer certification.
- Good communication and collaboration skills.
This role is office-based, with flexibility to work from home where required. We offer a fast-paced, truly global environment with an endless supply of challenges and development opportunities. 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.
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