Data Engineer

Senior Data Engineer – 13974

Stockholm, Sweden
Onsite
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Maggie M

HR Administrator

maggie@veritaz.se

Job Summary

  • Posted Date

    October 30, 2025

  • Work Type

    Onsite

  • Deadline

    2025-11-05

  • Schedule

    Full-time

  • Location

    Stockholm, Sweden

Job Description

This post is also available in: Svenska (Swedish)

Assignment Description:

We are looking for a Senior Data Engineer to join our dynamic team.

What you will work on:

  • Design, build, and optimize end-to-end data pipelines integrating multiple data sources.
  • Develop and maintain data models, ensuring data quality, scalability, and performance.
  • Work with Databricks, Unity Catalog, Apache Spark, and Delta Lake to implement advanced data engineering solutions.
  • Collaborate with data scientists, software engineers, and project managers to deliver robust data integration and analytical capabilities.
  • Utilize Azure Data Factory and Azure Data Lake for data ingestion, transformation, and storage.
  • Implement CI/CD pipelines, version control (Git), and DevOps practices for automation and deployment.
  • Apply data engineering best practices to ensure governance, security, and efficiency.
  • Monitor and optimize cloud usage to improve system performance and cost-effectiveness.
  • Contribute to continuous improvement by sharing insights, mentoring peers, and refining development standards.

What you bring:

  • Minimum of 5 years of experience in data engineering or software development.
  • Strong proficiency in SQL and Python for data manipulation and automation.
  • Hands-on experience with Databricks, Unity Catalog, Apache Spark, and Delta Lake.
  • Proven track record in building and maintaining ETL/ELT pipelines across diverse data sources.
  • Deep understanding of Azure cloud services, including Azure Data Lake and Azure Data Factory, along with cost management expertise.
  • Experience implementing CI/CD pipelines, version control (Git), and DevOps methodologies.
  • Familiarity with data warehousing, dimensional modeling, and data lakehouse architectures.
  • Strong knowledge of data engineering best practices with the ability to advocate and apply them effectively.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating effectively in cross-functional teams.
  • Experience with Power BI is considered a strong advantage.

If this sounds interesting, please send your CV to cv@veritaz.se 

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