Venture Capital and Private Equity Principals

Planet A Ventures

11-50

Germany

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 you’re excited about **building robust data systems**, **driving adoption across teams**, and **making an immediate impact**, we’d 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

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 we’d 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.

Employee

Professional / Experienced

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 you’re excited about building robust data systems, driving adoption across teams, and making an immediate impact, we’d love to hear from you.
<h2 id="tasks">Tasks</h2>
<ul>
<li>Design, build, and maintain data pipelines and ETL processes</li>
<li>Develop automations to reduce friction and speed up workflows</li>
<li>Integrate data into everyday team processes, helping colleagues bridge cultural and knowledge gaps</li>
<li>Collaborate closely with stakeholders to gather requirements, flesh out plans, and deliver end-to-end solutions</li>
<li>Make strategic decisions about architecture, tools, and integrations (buy vs. build)</li>
<li>Ensure stability and scalability while fostering adoption across the company</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>Strong background in data engineering (pipelines, ETL, data modeling)</li>
<li>Experience with ML / NLP, ideally with exposure to AI / LLM applications</li>
<li>Python proficiency and comfort working with APIs and system integrations</li>
<li>Familiarity with tools like Snowflake, Pipedream, AWS</li>
<li>Understanding of process modeling and how data connects to business needs</li>
<li>Excellent communication skills in English, with the ability to translate technical solutions into business value</li>
<li>Cloud-native data processing experience with AWS services (S3, etc.)</li>
<li>Workflow orchestration experience (Dagster, Airflow, Prefect, or similar)</li>
<li>Experience with deploying and scaling ML/LLM workloads</li>
<li>Ability to design reproducible environments with Infrastructure as Code (Terraform or similar)</li>
<li>Strong understanding of observability, monitoring, and restart-resilient workflows</li>
<li>Skilled at building data accessibility layers for non-technical teams (dashboards, APIs, Airtable/Snowflake integrations)</li>
</ul>
Additionally, the following our a plus:
<ul>
<li>Being Berlin-based</li>
<li>German language skills (written and spoken)</li>
<li>Familiarity with investment environments (VC, PE, or similar)</li>
<li>Exposure to start-up, VC, or other high-growth environments</li>
</ul>
Traits we value:
<ul>
<li>Strong ownership thinking – you take accountability and drive projects forward.</li>
<li>Strategic mindset – balancing technical depth with pragmatic decisions.</li>
<li>Platform thinking – you design tools and systems that are reusable and extensible.</li>
<li>Ecosystem builder – you connect backend, frontend, data, and AI systems into a coherent whole.</li>
<li>No NIH syndrome – you know when to leverage existing tools and when to build.</li>
<li>Openness to low-code/no-code solutions.</li>
<li>Sense of urgency – you focus on impact and timely delivery.</li>
<li>Pragmatism with ambition – you ship quickly, while keeping long-term scalability in mind.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Being an elementary part of a top tier green-tech venture capital firm - the first in Europe with a scientific approach to impact</li>
<li>Joining a dynamic environment that is driven by impact and highly motivated to make a change for the better</li>
<li>While we’d love for you to be based in Berlin as we have our beautiful office in Berlin Mitte, remote work within Europe is absolutely possible</li>
<li>You have access to an annual personal development budget and other benefits like Urban sports and the Deutschland-ticket</li>
<li>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</li>
<li>Opportunity to participate in bi-annual offsite gatherings with the entire Planet A team</li>
</ul>
Planet A is an equal opportunity employer that values diversity and encourages people of all ethnic &amp; racial origins, gender identities, sexual orientations, religions &amp; ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities to apply.

Data Engineer (m/f/d)

Finance Assistant (m/f/d) - Full- / Part-Time

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