Data Platform Engineer - 18759/18761

Veritaz AB (41 lediga jobb) Tidsbegränsad anställning / Heltid
Sista ansökningsdag:
2026-09-10
Publicerad:
2026-08-11

Cirka 4 veckor kvar

Om jobbet

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring 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 / Platform Engineer

What You Will Work On

  • Design, develop, and maintain scalable data platforms with a strong focus on Databricks
  • Develop and maintain robust ETL/data pipelines for large-scale operational data
  • Improve Databricks platform architecture, setup, and capabilities
  • Implement data governance models, catalogues, and metadata management
  • Improve data quality, discoverability, security, and compliance
  • Implement Infrastructure as Code (IaC) for Databricks and cloud infrastructure
  • Build automated, reliable, and reproducible platform environments
  • Design solutions for complex data and platform challenges
  • Collaborate with developers, Data Scientists, ML Engineers, and business stakeholders
  • Translate business and technical requirements into production-ready data products
  • Support continuous platform development, operations, and maintenance

What You Bring

  • Several years of senior Data Engineering or Platform Engineering experience
  • Strong hands-on Databricks and Apache Spark experience
  • Strong experience with cloud-based data platforms, preferably AWS
  • Strong programming skills in Python and SQL
  • Experience designing and developing ETL/data pipelines
  • Experience with Infrastructure as Code for Databricks and cloud services
  • Strong understanding of data governance, data quality, metadata, and data discoverability
  • Experience designing scalable, secure, and reliable data platforms
  • Proven production experience with Databricks
  • Experience with medium- to large-scale data platforms
  • Ability to independently drive technical improvements
  • Strong analytical, problem-solving, and communication skills
  • Ability to translate requirements into scalable technical solutions
  • AWS or Databricks certification is an advantage