Data Engineer

Sambla Group; Stockholms kommun; On-site; SEK 600,000 - 800,000; Full time

Job summary

Sambla Group is seeking a Data Engineer to join their Data Platform team in Stockholm, Sweden. This role involves designing and maintaining data pipelines, ensuring data quality, and utilizing modern cloud-native technologies on GCP.

Qualified candidates should have at least 3 years of experience in data engineering, strong Python and SQL skills, and be comfortable working with both technical and non-technical teams. Sambla offers a dynamic work environment with a strong focus on data-driven decision making.

Qualifications

• At least 3 years of experience in data engineering or a similar role.
• Strong Python skills and SQL skills.
• Hands-on experience with GCP or AWS.

Responsibilities

• Design, build and maintain data pipelines and integrations.
• Develop and maintain the Data Warehouse.
• Ensure data quality and compliance with GDPR.

Skills

Python skills (Polars, Flask/FastAPI)

SQL skills (CTEs, window functions)

Experience with GCP or AWS

Git and collaborative development workflows

Tools

GCP

BigQuery

dbt

Terraform

Job description

Overview

Sambla Group is a fintech company with a clear goal – to be your trusted financial partner. We’ve grown into one of the fastest-growing fintech companies - bridging the gap between borrowers and lenders - thanks to the 500+ amazing people who work here. As a Data Engineer at Sambla Group you will play a key role in building and maintaining the systems that power data-driven decision making across the company. You'll join a central Data Platform team, and work closely with an Engineering Manager and a Product Manager, contributing to everything from reliable data pipelines to enabling self-serve analytics and putting data to work in our operational tools. We are building a modern, AI-native data platform, and we’re looking for someone who doesn’t just adapt to new tooling but actively drives how we adopt it. That means using AI-assisted development in your day-to-day work, exploring where LLMs and intelligent automation can make our platform smarter, and helping set the standard for how the team works with these tools going forward. You will work with modern cloud-native technologies on GCP - including BigQuery, Pub/Sub, Cloud Run, Cloud Build and Artifact Registry - alongside tools like DBT, Prefect and Terraform.

What You\'ll Work On

• Design, build and maintain data pipelines and integrations (streaming, batch, API-based) that feed our data products
• Develop and maintain our Data Warehouse and contribute to data platform improvements
• Ensure data quality, data governance and GDPR compliance
• Architect scalable and secure solutions in GCP and BigQuery
• Use AI tooling to accelerate development and explore where it can add value across our data work
• Collaborate with stakeholders across technical and non-technical teams

Must Have

• At least 3 years of experience in data engineering or a similar role
• Strong Python skills (e.g. Polars, Flask/FastAPI or similar)
• Strong SQL skills — CTEs, window functions, complex joins
• Hands-on experience with GCP or AWS, preferably GCP
• Experience with Git and collaborative development workflows
• Ability to manage and communicate with both technical and non-technical stakeholders

Nice To Have

• Experience with dbt and data modelling concepts (dimensional modelling, SCD etc.)
• Familiarity with CI/CD pipelines (GitHub Actions, CircleCI or similar)
• Experience with observability, monitoring and alerting for data systems
• Background in fintech or financial data
• Experience mentoring or coaching colleagues

Applicants must already have the legal right to work in Sweden, as we do not provide visa sponsorship or relocation assistance for this position.