AI & Analytics Engineer

Gemma Analytics helps clients to become more data-driven. As one of our AI & Analytics Engineers, you sit at the intersection of data and AI. You don’t just build pipelines and dashboards, you help design and deliver intelligent, agentic solutions that create real business impact for our clients. You surface insights others miss, translate complexity into clarity, and bring a builder’s mindset to every engagement.

This role is for someone who is equally comfortable writing a dbt model and prototyping an AI-driven workflow. You’ll work hands-on with clients across startups and SMEs, supported by senior mentors in your first months, and grow into someone who shapes how we deliver the next generation of data and AI work.

About the job

As an AI & Analytics Engineer at Gemma, you play a critical role in helping our clients generate meaningful business value from their data and from AI. You don’t just transform raw information into reliable insights; you design and build intelligent, agentic systems that automate decisions, accelerate workflows, and unlock new possibilities for the businesses we work with.

You identify patterns others miss, translate complex client challenges into practical solutions, and bring both analytical rigor and an AI-builder’s mindset to every engagement. Working closely with clients, you bridge the gap between data foundations and the next generation of AI-driven applications.

During your first months, you will be supported by experienced team members to ensure a smooth onboarding and a strong technical foundation across both the modern data stack and agentic AI tooling., * As we are tooling-agnostic, you will work with multiple technologies and develop a deep understanding of what is currently possible in the data landscape Collaborate and connect with domain experts to solve data challenges across various industries Develop advanced data reporting and visualisations Apply data modeling methodologies and contribute to a robust data platform for our clients Leverage AI tools - including agentic workflows and AI coding assistants - to accelerate and enhance data work, 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 two 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

How you’ll get here

• CV Screening
• Initial Conversation
• Hiring Test @home
• Interviews with 2-3 future colleagues
• Reference calls
• Offer + Hired

We believe in a strong mix of experience and growth potential in our team and we welcome applications from all backgrounds. For this mid-level role, we are looking for people with initial experience in analytics, combined with curiosity, a structured mindset, and enthusiasm for turning numbers into business insights. Beyond that, we are looking for:

• Experience with SQL and relational databases
• Business Fluency (C2 or native) in German and English
• First understanding of data modeling techniques (e.g. Data Vault or Kimball’s Dimensional Modelling) and data warehousing in general
• Experience with AI tools in a professional context, ideally including AI coding assistants (e.g. Claude Code) and agentic analytics workflows
• Optional: Experience with one or more programming languages (Python preferred)
• Optional: Experience in stakeholder and/or client management

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.