Planet A Ventures is a European early-stage fund supporting founders tackling our greatest systemic challenges. The fund uses rigorous scientific impact assessments to identify solutions the world cannot afford to ignore. Investments include INERATEC Makersite C1 HIVED traceless materials and 44.01. As a small team with flat hierarchies we value commitment transparency and a humble attitude.
We are looking for a Data Engineer who combines technical expertise with customer-centric thinking. This is a hybrid role with Berlin as the primary in-office location.
You will play a pivotal role in unlocking data for the team building automations and helping us integrate data into our processes and culture. The role is a blend of hands-on technical work (70%) and process-oriented customer-facing collaboration (30%).
If youre excited about building robust data systems driving adoption across teams and making an immediate impact wed love to hear from you.
Tasks
- 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
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)
Additionally the following our a plus:
- Being Berlin-based
- German language skills (written and spoken)
- Familiarity with investment environments (VC PE or similar)
- Exposure to start-up VC or other high-growth environments is a plus
Traits we value:
- Strong ownership thinking you take accountability and drive projects forward.
- Strategic mindset balancing technical depth with pragmatic decisions.
- Platform thinking you design tools and systems that are reusable and extensible.
- Ecosystem builder you connect backend frontend data and AI systems into a coherent whole.
- No NIH syndrome you know when to leverage existing tools and when to build.
- Openness to low-code/no-code solutions.
- Sense of urgency you focus on impact and timely delivery.
- Pragmatism with ambition you ship quickly while keeping long-term scalability in mind.
Benefits
- Being an elementary part of a top tier green-tech venture capital firm - the first in Europe with a scientific approach to impact
- Joining a dynamic environment that is driven by impact and highly motivated to make a change for the better
- While wed love for you to be based in Berlin as we have our beautiful office in Berlin Mitte remote work within Europe is absolutely possible
- You have access to an annual personal development budget and other benefits like Urban sports and the Deutschland-ticket
- Taking part in our monthly co-working days collaborate side by side with the entire Planet A team and strengthen connections over team lunches dinners or fun team activities
- Opportunity to participate in bi-annual offsite gatherings with the entire Planet A team
Planet A is an equal opportunity employer that values diversity and encourages people of all ethnic & racial origins gender identities sexual orientations religions & ideologies socio-economic statuses educational backgrounds ages and individuals of all abilities to apply.