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Are you passionate about transforming raw data into meaningful insights? Do you thrive on designing, constructing, and maintaining the architecture that allows businesses to harness the power of their data? Join our dynamic team as a Data Engineer to help develop and deploy IKEA Planning Experience’s digital products, ensuring streamlined data processes and impactful business solutions.
Job Responsibility:
Transform raw data into analyzable formats using ETL/ELT processes to deliver tangible business benefits
develop and maintain scalable data infrastructures for sourcing, processing, and sharing data
optimize, test, and implement tools to enhance data quality and monitor data drift and decay
manage data integration, processing workflows, and data modeling efforts
provide APIs for standardized data access and sharing across teams
translate complex business data requirements into robust technical solutions and architectures
ensure compliance with security, legal, and delivery standards
support and coach teams to foster a data-driven development culture
document and share knowledge about data infrastructure and best practices within IKEA
apply CI/CD best practices and maintain cost-efficient data solutions.
Requirements:
Extensive experience designing data pipelines, data warehousing, data modeling, and database architecture
strong expertise in Python, SQL, and other scripting or general-purpose data handling languages
solid knowledge of industry-standard software development languages and a deep understanding of on-premises, cloud, and hybrid infrastructures
proactive team player who takes ownership, builds cross-functional relationships with senior peers, and enjoys mentoring junior colleagues
curious, world-class problem solver passionate about continuous learning and innovation
embodies IKEA’s values in both thought and action.
What we offer:
Full-time role
potential travel to Älmhult for business needs
inclusive environment welcoming diverse perspectives, backgrounds, and personalities
accommodation available during the recruitment process if needed.
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