Data Engineer

Senior GCP Data Engineer – 13390

Stockholm, Sweden
Onsite
Avatar photo

Maggie M

HR Administrator

maggie@veritaz.se

Job Summary

  • Posted Date

    October 3, 2025

  • Work Type

    Onsite

  • Deadline

    2025-10-10

  • Schedule

    Full-time

  • Location

    Stockholm, Sweden

Job Description

This post is also available in: Svenska (Swedish)

Assignment Description:

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

What you will work on:

  • Contribute to one of the largest data transformation journeys, building data products within the Data Mesh concept based on defined vision and requirements
  • Take end-to-end responsibility for building, optimizing, and supporting existing and new data products
  • Apply DevOps principles to manage CI/CD pipelines, Terraform, and cloud infrastructure on GCP
  • Ensure data products function as independent deployable units and comply with standards for security, scalability, observability, and performance
  • Collaborate closely with Product Managers and stakeholders to refine the vision for existing data products and identify opportunities for new products
  • Work with cross-functional product teams to implement Data Mesh concepts and drive continuous improvement while reducing technical debt
  • Maintain expertise in the latest cloud, analytics, and data technologies

What you bring:

  • At least 4+ years of hands-on experience as a Data Engineer on GCP, modern cloud data platforms, or advanced analytics environments
  • Strong experience with GCP tools such as BigQuery, Cloud Functions, Pub/Sub, and related cloud infrastructure
  • Proficiency in data formats like Parquet and Avro
  • Solid experience with SQL or other data query languages
  • Programming experience in one or more languages such as Python, Java, or Scala
  • Good understanding of different data modeling techniques and trade-offs
  • Knowledge of both NoSQL and RDBMS databases
  • Passion for data, technology, and working collaboratively with people

Qualifications:

  • Proven track record of designing, building, and maintaining cloud-based data products
  • Hands-on experience in implementing DevOps practices for data pipelines and cloud environments
  • Ability to work independently as well as in cross-functional teams, contributing as an individual expert in data engineering

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

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