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Data Engineer(m/w/x)
Building high-frequency event-driven systems and GCP data pipelines for a 50M+ user marketing platform. Strong Python and SQL skills, with cloud data platform experience required. Equity, bonus, and transport subsidy provided.
Requirements
- Experience in backend or data engineering
- Strong Python and SQL skills
- Experience with AWS, GCP, BigQuery, or Snowflake
- Solid engineering discipline and ownership
- Understanding of data modeling and optimization
- Familiarity with orchestration and observability
- Experience with API integrations
- Exposure to containerization
- Knowledge of testing or event-driven architectures
Tasks
- Design and build Python APIs
- Develop backend services for integrations
- Operate end-to-end GCP data pipelines
- Build high-frequency event-driven systems
- Apply data modeling and database design
- Write clean, testable production-grade code
- Implement CI/CD and testing discipline
- Drive system observability and performance
- Manage services from design to monitoring
- Utilize Terraform and container orchestration
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- GCP
- BigQuery
- Snowflake
- Airflow
- Dagster
- Docker
- Kubernetes
Benefits
Competitive Pay
- Equity
Bonuses & Incentives
- Bonus
Modern Office
- Central Berlin office
- Fully-stocked modern office
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
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Data Engineer(m/w/x)
Building high-frequency event-driven systems and GCP data pipelines for a 50M+ user marketing platform. Strong Python and SQL skills, with cloud data platform experience required. Equity, bonus, and transport subsidy provided.
Requirements
- Experience in backend or data engineering
- Strong Python and SQL skills
- Experience with AWS, GCP, BigQuery, or Snowflake
- Solid engineering discipline and ownership
- Understanding of data modeling and optimization
- Familiarity with orchestration and observability
- Experience with API integrations
- Exposure to containerization
- Knowledge of testing or event-driven architectures
Tasks
- Design and build Python APIs
- Develop backend services for integrations
- Operate end-to-end GCP data pipelines
- Build high-frequency event-driven systems
- Apply data modeling and database design
- Write clean, testable production-grade code
- Implement CI/CD and testing discipline
- Drive system observability and performance
- Manage services from design to monitoring
- Utilize Terraform and container orchestration
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- GCP
- BigQuery
- Snowflake
- Airflow
- Dagster
- Docker
- Kubernetes
Benefits
Competitive Pay
- Equity
Bonuses & Incentives
- Bonus
Modern Office
- Central Berlin office
- Fully-stocked modern office
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Almedia
Industry
Marketing
Description
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
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