(Senior) Data Engineer

At Gemma, we help organizations activate and operationalize their data using state-of-the-art technology. With our two verticals, GEM.AI for applied AI and GEM.BI for modern business intelligence, we enable clients to make better choices and take full ownership of their data.

We are service-driven at our core, focused on delivering practical, high-quality solutions that create long-term impact. You can read more about our data philosophy here.

Our clients range from Series A ventures to established SMEs, with company sizes spanning from 30 to over 13,000 employees. Across every engagement, we prioritize honesty, clarity, and a genuinely enjoyable working relationship.

As one of our Data Engineers, you help clients get value from their data by building and maintaining reliable, scalable data infrastructure. You design pipelines, ensure data quality, and make data easy to access and use. Your work supports confident, data-informed decisions. You also help improve our internal systems and modernize our tech stack for better performance and scalability.

As a senior team member, you act as a sparring partner and coach to your colleagues. You’re someone others turn to for advice on technical challenges, project structure, and best practices. You’re excited to help them grow.

Responsibilities:

Work across a broad range of technologies in a tooling-agnostic environment, staying current with the evolving data landscape

Partner with domain experts and client stakeholders to solve complex, high-impact data challenges

Lead the modernization of our data infrastructure and tech stack to ensure scalability and long-term efficiency

Define and enforce technical standards for AI and ML projects, ensuring they are production-ready, scalable, and business-relevant

Mentor team members through code reviews, pair programming, and knowledge sharing

Drive internal best practices by leading sparring sessions and shaping scalable, maintainable project structures

We believe in a good mixture of experience and upside in our team. We are looking for both types of people equally. For this role, we require more expertise and proof of trajectory.

3–5 years of hands-on experience in data engineering or analytics engineering, with a strong focus on building and maintaining robust data pipelines and analytics-ready data models

Proficient in Python (or a similar scripting language) for use cases such as API integration, data loading, and automation

Proficient in SQL and experienced with relational databases, capable of translating complex business logic into clear, maintainable queries

Experience working with modern data stack tools, such as Snowflake, BigQuery, Airflow, Airbyte/Fivetran, Git, and CI/CD workflows

Interest in exploring new technologies and staying up to date (e.g. DuckDB/Motherduck, Apache Iceberg/Delta Lake andDagster)

Strong communication skills in English (written and spoken), with the ability to explain technical decisions and collaborate with both technical and non-technical stakeholders

Comfortable working in client-facing projects, navigating ambiguity, and delivering high-quality results with minimal oversight

Experience coaching or mentoring junior team members through code reviews, sparring, and knowledge sharing

Bonus:

• Docker, Kubernetes

• ML Engnieering: deployment and monitoring of prediction models

• Fluency in German

We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include

We have an honest, inclusive work environment and want to nurture this environment

We have frequent team events in Berlin: our cultural base

We encourage workations and even do workations as a company - it is up to you to come to the office between one and five days a week

We don’t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective

We will surround you with great people who love to solve (mostly data) riddles

We believe in efficient working hours rather than long working hours - we focus on the output rather than the input

We learn and share during meetups, lunch \& learn sessions and are open for further initiatives

We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees

We are fast-growing, have technology at our core, yet we do not rely on a VC and operate profitably

We have a great yearly offsite event that brings us all together for a full week, enjoying good food, having a good time, and of course, solving complex data-related tasks solving complex data-related tasks

CV Screening

Initial Conversation

Hiring Test @home

Interviews with 2-3 future colleagues

Reference calls

Offer + Hired

We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.