Senior Data Engineer, IKEA

Senior Data Engineer

IKEA

Location:

Netherlands, Leiden

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IKEA Retail) we strongly believe that we can help people and the planet while creating an affordable and better everyday life for the many people. We are on an exciting journey to increase our data-driven maturity, which includes the development of a cutting-edge Data & Analytics platform (Azure) and Data & Analytics products to deliver value to the business.

Job Responsibility:

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

Requirements:

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
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 and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

What we offer:

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Additional Information:

Job Posted:

March 26, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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