Senior Data Engineer - Finance Tech (all genders)
$75,600–$91,800 year
Hybrid · Berlin, State of Berlin, Germany or Hamburg, Hamburg, Germany
Job Summary
Data Platform Ownership: lead the build and maintenance of a new data platform using Dagster, dbt, AWS ECS, and Google BigQuery, delivering tooling, checks, connectors, cost controls, and CI/CD foundations. Core-ELT Pipelines: manage and optimize mission-critical pipelines moving data from MySQL on AWS to GBQ with minimal source-system impact. Core-Reports Delivery: own the most critical executive-facing reports and serve as a foundation for analytics across departments. You’ll work hands-on with high-volume data flows and modern data-stack (Dagster, dbt, GBQ, AWS ECS) and apply strong software engineering fundamentals (CI/CD, testing, design patterns) to data engineering. Requirements include expert-level SQL and Python, infrastructure knowledge (Docker, Terraform/CloudFormation), and a pragmatic, collaborative, ego-free mindset. Perks highlighted by the company emphasize inclusion and a welcoming culture. A hybrid work arrangement is offered in Hamburg/Berlin, Germany.
Required Qualifications
- Experience with Dagster, dbt, GBQ (BigQuery), and AWS ECS
- Strong SQL and Python skills
- Experience building and maintaining high-volume data pipelines (ETL/ELT)
- Data platform ownership and enabling data teams
- CI/CD, testing, and data engineering best practices
- Knowledge of Docker, Terraform or CloudFormation
- Strong communication skills and ability to collaborate跨-functional teams
- English proficiency
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