Hybrid Data Engineer — Global Supply Chain Analytics

Ikea

Stockanäs

Hybrid

SEK 700,000 - 1,100,000

Full time

6 days ago
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Job summary

IKEA Supply Data & Analytics is looking for a Data Engineer to design, build, and maintain our data infrastructure to support business needs and decision making. You will work in a modern, multi-cloud environment and partner with stakeholders to deliver data products that empower self-service analytics.

You should have 5+ years in data engineering, deep knowledge of SQL, Python and PySpark, and Databricks or Fabric certification.

Qualifications

  • 5+ years experience designing, building, and operating data pipelines.
  • Strong knowledge of SQL, Python and PySpark.
  • Databricks experience; certification (Associate/Professional) desirable.
  • Knowledge of Microsoft Fabric (DP-600/DP-700) beneficial.
  • Good communication and collaboration; team player.

Responsibilities

  • Design, build, and maintain data models to support analytics and reporting across Core Business Supply.
  • Develop and maintain robust ETL/ELT pipelines integrating diverse data sources.
  • Collaborate with stakeholders, architects, analysts, and data scientists to translate requirements into scalable data solutions.
  • Establish data engineering best practices: data modelling standards, quality, version control, testing, and documentation.
  • Optimize models and pipelines for performance, reliability, and cost across batch and real-time processing.
  • Ensure data security, governance, and compliance.

Skills

Data engineering
SQL
Python
PySpark
Databricks
Microsoft Fabric

Tools

Databricks
Microsoft Fabric

Job description

IKEA Supply Data & Analytics is looking for a Data Engineer to design, build, and maintain our data infrastructure to support business needs and decision making. You will work in a modern, multi-cloud environment and partner with stakeholders to deliver data products that empower self-service analytics.

You should have 5+ years in data engineering, deep knowledge of SQL, Python and PySpark, and Databricks or Fabric certification.

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