Data Engineer Engineering · Munich , Paris · Hybrid

Go-to-Market • Munich, Paris • Hybrid

Data Engineer

Make AI Accessible & Sustainable

We usually respond within 2 hours.

About us

At Pruna, we’re on a mission to make AI more efficient to build a better future. While AIs from Big Tech are transforming our societies, for better or for worse, we’re levelling the playing field by building tech that makes AI models as accessible and sustainable as possible. After years of research on efficient ML we decided that the best way to spread our impact was to take it into our own hands. Each of us cares deeply about empowering people to maximize their impact while minimizing their carbon footprint.

Role Description

As a Growth Data Engineer at Pruna AI, you’re in a full-spectrum position that merges the expertise of data engineering, analytics engineering, and revenue operations. Your days will be a dynamic blend of diverse responsibilities, including:

Unified Data Platform

• Iterate on the design of the general data architecture and develop all the data pipelines
• Have ownership on picking the right technology, solutions, and vendors
• Approx. 15‑20 data sources estimated, for now.

Growth Engineering & Trigger‑Based Automation

• Design intelligent triggers that automate tasks and anticipate user needs, creating a seamless and proactive user experience.

Product Analytics & ROI Simulators

• Integrate with our products to extract telemetry data, analyze insights, and cross‑reference them with data from other business tools for comprehensive analysis.
• Develop ROI simulators to equip users with data‑driven insights that confirm our value proposition.
• Supported by the engineering team for frontend and backend integration.

Tech, Revenue & Customers Dashboards

• Provide easy‑to‑understand, up‑to‑date dashboards for all team members.
• Partner with engineering to integrate telemetry data and create user‑friendly product usage dashboards.
• Help customers analyze their usage trends in a self‑serve fashion.

Useful Tech

• Hosting Provider: AWS
• Infrastructure: Docker, Kubernetes, Terraform
• Datastore: PostgreSQL (RDS)
• Orchestration: GitHub Actions, Kestra or Lambda
• ETL: Airbyte
• Data Modelling: dbt or SQLMesh
• Data Visualization: Metabase
• Development: Python, SQL, Git

People you will work with

• Engineering Team: work with Software and ML teams on technical implementation of trackers, simulators, and dashboards relevant to our AI model deployments.
• GTM Team: collaborate closely with the GTM team to strategically implement and maintain data platforms for products and customers.
• Communication Team: collaborate with the communication team to track distribution channels and strategies for our AI models.

Your Skills

You’re a data engineer with a proven track record of tackling complex projects from the ground up. This experience has instilled in you the confidence and adaptability needed to thrive in the ever‑evolving landscape of a startup. You understand the value of quick wins and iterative development, knowing that initial solutions may need refactoring as requirements evolve. You’re comfortable taking calculated risks and making data‑driven decisions based on your experience and insights.

We would love to see

Experience

• 3‑7 years as a data or analytics engineer with exposure to the modern data stack.
• Proficiency in GitOps & Docker, overseeing version control and environment provisioning entirely as‑code (Terraform, GitHub Actions…)
• Experience in building & implementing a simple yet highly effective data stack from the ground up (events & triggers‑driven, mostly).

Core skills

• Understanding of core tech and business concepts, including AI model deployment pipeline and customer pipeline.
• A constant desire to learn about new technologies and explore their potential applications for data analysis and automation.
• Excellent communication skills (written and verbal) to collaborate effectively with cross‑functional teams (engineering, marketing, sales).
• Fluency in English.

It is a plus if you have

• Experience with designing automation processes.
• Experience developing ROI simulators and dashboards.
• Experience with telemetry data integration.

We’d love to hear from you — even if you don’t meet 100% of the requirements.

⚖️ Expected Salary

We pay top market rates based on seniority and location, leveraging publicly available data that we share with you during the process. We are also working towards competitive and useful benefit packages.