Point your AI agent at freehire and let it find you a job.

Get the CLI →

emagine

GCP Data Engineer - Fund & Portfolio Services (Banking)

Posted 9 views
Discussion

Summary

Consultant role for a banking & finance client in Stockholm, building a next-generation cloud data warehouse platform on GCP. Day to day: designing data pipelines and models, transforming data with SQL, Python, dbt and Airflow, plus CI/CD, code reviews and mentoring as a senior team member.

We are looking for a GCP Data Engineer (Fund and Portfolio Services) to one of our clients within Banking & Finance.

Start date: 2026-10-26
End date: 2027-01-15
Location: Stockholm (3 days onsite, 2 days remote)

About the assignment:
We are seeking an experienced data engineer consultant to join a strategic initiative focused on developing a next-generation cloud data warehouse platform in GCP that will strengthen and enhance our business capabilities.

You will be part of a collaborative, cross-functional team responsible for delivering end-to-end solutions, working with requirements analysis, development, testing, deployment, and stakeholder engagement. The role requires close collaboration with both business and technical teams to drive successful outcomes.

As a senior member of the team, you will provide technical leadership by mentoring developers, conducting code reviews, promoting best practices, and contributing to key architecture and design decisions.

Profile & d Background:

  • Extensive experience in designing and implementing data integration solutions, data models, data structures, and scalable data pipelines within Google Cloud Platform (GCP).

  • Strong knowledge of data onboarding processes and best practices for integrating data from multiple source systems.

  • Experience in monitoring, troubleshooting, and ensuring the reliability and performance of data platforms and pipelines.

  • Proficiency in SQL, Python, and dbt (Data Build Tool) for data transformation, modeling, and automation.

  • Hands-on experience with Apache Airflow for workflow orchestration and scheduling.

  • Solid understanding of DevOps principles, with a focus on automation, operational excellence, and platform reliability.

  • Experience working with Gitlab and Github and modern version control practices in an Agile development environment.

  • Proven experience designing and maintaining CI/CD pipelines to support efficient and reliable software delivery.

  • Strong focus on testing, quality assurance, and test automation to ensure robust and maintainable solutions.

  • Ability to collaborate effectively with business stakeholders, architects, engineers, and cross-functional teams.

  • Experience mentoring and coaching developers, conducting code reviews, and contributing to architecture and design decisions.

  • Excellent communication skills with full professional proficiency in English, both written and spoken.

Skills/Techstack:

• GCP
• SQL
• Python
• dbt
• Airflow
• GitLab
• GitHub
• CI/CD

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
Apply

See also

Data Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available