Data Engineer (m/f/d) - Berlin

About the role

At Bees & Bears , we're a Climate FinTech on a mission to unlock capital for the energy transition. We believe finance is the key to accelerating the shift toward a sustainable future. The challenge ahead is massive: by 2050, the world needs to invest €150 trillion (!) to reach climate neutrality. 65% of this investment will need to be financed through loans. Our mission is to channel capital into the sustainable economy - to accelerate the transition and make the world greener. What we do: We work closely with installers of climate hardware such as solar systems, energy storage, and heat pumps - enabling their customers to finance installations easily through monthly installments . Our platform provides the technical and financial foundation to make this happen. In doing so, we're actively accelerating the energy transition - for households, for our partners, and for the planet. We've recently secured €500 million in funding commitments to green 25,000 households over the next two years. Prior to that, we raised two funding rounds backed by several renowned VCs - and we've been growing rapidly ever since.Sound like the perfect job for you? We look forward to your application and to getting to know you! At Bees & Bears, we place a high value on equal opportunity and are committed to fostering a diverse and inclusive work environment. We strive to create a friendly, safe, and welcoming environment for all our employees, regardless of ethnic origin, gender, gender identity and expression, sexual orientation, disability and abilities of any kind, physical appearance, social background, marital status, age, or religion (or lack thereof). Even if you

Responsibilities

• At Bees & Bears, data is the backbone of everything we do. As our first dedicated Data Engineer, you'll build the foundation that allows us to scale - cleanly, reliably, and without adding operational chaos.
• Right now, our data lives in silos across tools, teams, and processes. Manual work fills the gaps, and that's a bottleneck we need to solve. You'll design and own the infrastructure that changes that: a single source of truth that powers decisions across Risk, Finance, Product, and Operations.
• You'll work closely with our Engineering, Product, Risk, and Finance teams, as well as directly with our leadership, to understand what data they need and make sure they can actually use it.
• Tasks
• Your Mission
• Build and maintain robust data pipelines across all core systems
• Design and implement our company data warehouse from the ground up
• Integrate data from internal systems, APIs, and third-party tools
• Ensure data reliability, consistency, and accessibility across the company
• Enable teams with clean, structured data for faster and better decision-making
• Define data ownership, naming conventions, and quality standards that scale

Requirements

• Your Talent
• Strong SQL and Python skills - you're genuinely comfortable writing complex queries and automating data workflows
• Hands-on experience building and maintaining data pipelines end to end
• Experience with data warehouse setup and data modeling
• Proven ability to work independently and build systems from scratch
• Strong preference:
• Experience with modern data stack tools such as dbt, Airflow, Snowflake, or BigQuery
• Background in a startup or high-growth environment
• Experience collaborating with Product, Risk, or Finance teams
• Experience with BI tools and dashboarding
• Basic understanding of financial data or fintech processes
• Experience with data quality, testing, and monitoring frameworks
• Familiarity with data privacy and security requirements

Benefits

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