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Senior Data Engineer – 13991
Ingenjör Designer Dataingenjör
Utgått

Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

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

What you will work on:

  • Design, build, and optimize robust data pipelines (ETL/ELT) integrating multiple structured and unstructured data sources.
  • Develop and maintain data models, ensuring high availability, scalability, and reliability of data infrastructure.
  • Work with Databricks, Unity Catalog, Apache Spark, and Delta Lake to support advanced analytics and data lakehouse solutions.
  • Collaborate closely with data scientists, software engineers, and project managers to deliver efficient and high-quality data integration solutions.
  • Implement CI/CD pipelines, version control (Git), and DevOps practices for automated and reliable data workflows.
  • Ensure adherence to best practices in data quality, governance, and security.
  • Leverage Azure cloud services such as Azure Data Lake and Azure Data Factory to manage, process, and distribute data efficiently.
  • Monitor and optimize cloud resource usage for performance and cost-effectiveness.

What you bring:

  • 5+ years of experience in data engineering or software development.
  • Strong proficiency in SQL and Python for data processing and automation.
  • Hands-on expertise with Databricks, Unity Catalog, Apache Spark, and Delta Lake.
  • Proven experience designing and implementing scalable ETL/ELT pipelines.
  • Deep understanding of Azure cloud platforms, data lakehouse architectures, and dimensional modeling.
  • Practical experience with CI/CD, version control (Git), and DevOps methodologies.
  • Strong understanding of data engineering best practices and ability to promote them across teams.
  • Excellent analytical, problem-solving, and troubleshooting skills.
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
  • Self-driven, proactive, and able to work independently in a fast-paced environment.
  • Nice to have: Experience with Power BI for data visualization and reporting.

Mer info

Lön Fast och rörlig lön
Uppdragsform Vanlig anställning
Publicerad 2025-10-30
Antal platser 1
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