Data Engineer

Permanent

Job Description

Are you passionate about shaping the future of data? Join our Data Experience Organization (DXO) as a Data Engineer and be the driving force behind our transformation. We are reimagining how data empowers decision-making by building a scalable, decentralized data mesh and next-generation modern data platform where data is treated as a product. As a key player in our product organization, you will enable product teams to scale self-service data solutions that deliver reliable, high-quality and domain-oriented data products. This is your chance to impact how data fuels decisions, unlocks actionable insights, and empowers GenAI and AI across our organization. If you are ready to tackle complex data challenges and redefine data excellence, we want to hear from you!

As a Data Engineer, you will work as part of a product team responsible for designing and delivering data products. You will be responsible for the development of data ingestion pipelines adhering to the data engineering framework and data architecture principles. You will collaborate with a diverse team of D&A product architects, analysts and engineers across different domains and regions, who build data products on the Global Data & AI Platform.

Job Responsibilities

• Execute and maintain data mesh and medallion data architecture optimized for advanced analytics and AI, ensuring alignment with the Data and AI strategy
• Low-level solution design
• Provide development estimations
• Perform Unit and SIT testing
• Carry out data integration and provisioning of data products
• Ensure compliance of data sets with security and privacy guidelines
• Develop ingestion pipelines and data models according to Electrolux Engineering Framework and Architectural standards
• Conduct quality assessments and apply data quality rules
• Responsible for technical Use Case documentation of products according to Electrolux standards
• Participate in data engineering forums
• Contribute to development and enhancement of engineering frameworks, common repositories, and optimal ways of working
• Provides recommendations for ingestion optimization and innovation
   

Requirements

• Bachelor’s degree in Computer Science (or equivalent)
• 7+ years hands-on experience in SQL, Azure Data Lake, Data Factory, Databricks and Apache Airflow
• Advanced ingestion (APIs, Batch, streaming,…), ETL & data engineering skills with expert command of Python/Pyspark
• Advanced understanding of data structures, data modelling concepts and database technologies
• Experience in providing architectural recommendations, solving complex tasks, end-end solution design, and risk mitigation
• Ability to lead internal and/or external team members to deliver packages of work
• Perform code reviews
• Experience with good software engineering practices: with working experience on modern tools such as Azure DevOps, Github, Jira, Jenkins and other build automation tools
• Ability to mentor junior engineers with coding, tools, and DE best practices
• Provides strategies for continuous improvement and optimization of data products and/or processes
• Lead data engineering forums
• Self-motivated, fast learner, technology & vendor agnostic, pragmatic, strong problem solving and decision-making skills
• Excellent oral and written communication skills in English

We employ great people from a wide variety of backgrounds – not just because it’s the right thing to do, but because we believe that diverse perspectives make our business stronger and more innovative. If you share our values, come find your place in our global community. Meet us on @lifeatelectrolux and career.electroluxgroup.com to learn more.

This is a full-time permanent role based at our global headquarters in Stokholm, Sweden.