Planet A Ventures

Data Engineer

Planet A Ventures

full-time

Posted on:

Origin:  • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSCloudETLPythonTerraform

About the role

  • Design, build, and maintain data pipelines and ETL processes
  • Develop automations to reduce friction and speed up workflows
  • Integrate data into everyday team processes, helping colleagues bridge cultural and knowledge gaps
  • Collaborate closely with stakeholders to gather requirements, flesh out plans, and deliver end-to-end solutions
  • Make strategic decisions about architecture, tools, and integrations (buy vs. build)
  • Ensure stability and scalability while fostering adoption across the company
  • Play a pivotal role in unlocking data for the team, building automations, and helping integrate data into processes and culture
  • Blend of hands-on technical work (70%) and process-oriented, customer-facing collaboration (30%)

Requirements

  • Strong background in data engineering (pipelines, ETL, data modeling)
  • Experience with ML / NLP, ideally with exposure to AI / LLM applications
  • Python proficiency and comfort working with APIs and system integrations
  • Familiarity with tools like Snowflake, Pipedream, AWS
  • Understanding of process modeling and how data connects to business needs
  • Excellent communication skills in English, with the ability to translate technical solutions into business value
  • Cloud-native data processing experience with AWS services (S3, etc.)
  • Workflow orchestration experience (Dagster, Airflow, Prefect, or similar)
  • Experience with deploying and scaling ML/LLM workloads
  • Ability to design reproducible environments with Infrastructure as Code (Terraform or similar)
  • Strong understanding of observability, monitoring, and restart-resilient workflows
  • Skilled at building data accessibility layers for non-technical teams (dashboards, APIs, Airtable/Snowflake integrations)
  • Being Berlin-based (a plus)
  • German language skills (written and spoken) (a plus)
  • Familiarity with investment environments (VC, PE, or similar) (a plus)
  • Exposure to start-up, VC, or other high-growth environments is a plus
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