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Data Engineer

Stockholm, Sweden💼 Full-time🗓 2026-08-07 → 2026-09-26

Core

Design, build, and maintain scalable data pipelines and integrations (streaming, batch, API-based) on GCP to power data-driven decision-making and self-serve analytics.

Role type

Senior Data Engineer (Cloud Native)

Builds

Reliable data pipelines, data warehouse, and operational tools for a fintech platform.

Domain

Fintech / Cloud Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Python (Polars, Flask/FastAPI), SQL (CTEs, window functions, complex joins), GCP (BigQuery, Pub/Sub, Cloud Run, Cloud Build, Artifact Registry), Git, Data Governance, GDPR compliance

Preferred skills

dbt, dimensional modelling, SCD, CI/CD pipelines, observability, monitoring, alerting, fintech domain knowledge, mentoring

Technologies

GCP, BigQuery, Pub/Sub, Cloud Run, Cloud Build, Artifact Registry, DBT, Prefect, Terraform, Python, SQL, Git, GitHub Actions, CircleCI

Responsibilities

Design and maintain data pipelines and integrations; Develop and maintain the Data Warehouse; Ensure data quality and governance; Architect scalable and secure solutions; Use AI tooling to accelerate development; Collaborate with technical and non-technical stakeholders

Seniority

Mid-Senior, hands-on IC

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