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Staff/Senior Data Engineer - Finance Tech(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Dagster
- dbt
- Google BigQuery
- AWS
- ECS
- SQL
- Python
- docker
- terraform
- cloudformation
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Staff/Senior Data Engineer - Finance Tech(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Dagster
- dbt
- Google BigQuery
- AWS
- ECS
- SQL
- Python
- docker
- terraform
- cloudformation
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
ABOUT YOU
Industry
Retail
Description
The company empowers acceptance and shapes an inclusive, fair, and circular fashion culture.
Not a perfect match?
- ABOUT YOU
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Full-timeFreelanceWith HomeofficeExperiencedHamburg - ABOUT YOU
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