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Staff/Senior Data Engineer - Finance Tech(m/w/x)

Hamburg
Full-timeWith Home OfficeSenior

Building and maintaining a new data platform with Dagster, dbt, and AWS ECS on GCP GBQ. Substantial data and software engineering experience required. Custom tooling development, cost controls, and CI/CD implementation.

Requirements

  • Substantial, hands-on Data Engineering and Software Engineering experience
  • Experience maintaining and building modern data platforms
  • Acting as a multiplier for other engineering teams
  • Deep, practical experience with target stack
  • Strong software engineering fundamentals applied to data engineering
  • Expert-level SQL skills
  • Expert-level Python skills
  • Knowledge of infrastructure setups
  • Smart, fast brain
  • Knows data engineering best practices
  • Pragmatism to know when to implement and when to ship
  • Ego-less collaboration
  • High energy
  • Clarity in discussions
  • Team-first mindset
  • Ability to grasp complex processes easily
  • Clear communication with diverse stakeholders
  • Business fluent English

Tasks

  • Build and maintain the new Data Platform
  • Drive the transition to Dagster, dbt, AWS ECS, and GCP GBQ
  • Create custom tooling and monitoring for data teams
  • Implement data checks, connectors, and cost controls
  • Develop testing and CI/CD processes
  • Catalog data assets
  • Maintain and optimize core ELT pipelines
  • Move terabytes of data from AWS MySQL to GBQ nightly
  • Ensure daytime syncs do not impact source system performance
  • Deliver critical reports for executive board decisions
  • Support data teams in other departments with foundational reports

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Dagster
  • dbt
  • Google BigQuery
  • AWS
  • ECS
  • SQL
  • Python
  • docker
  • terraform
  • cloudformation
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