Analytics Engineer (m/f/d) at Enpal (Berlin, Germany)
Enpal· Berlin, Germany·
Role details
Enpal at a glance
German greentech company that rents or sells all-in-one home solar, storage, heat-pump, and EV-charging systems and ties them together with its own energy software.
Enpal bundles residential solar panels, battery storage, an EV wallbox, a heat pump, and a smart-energy app into one all-inclusive package that homeowners can rent for zero money down or buy outright. It handles design, installation by regional craftsmen, insurance, and maintenance, and layers on a green electricity tariff and an energy operating system that optimizes the whole home.
$655M raised · latest: Series D · €110M · April 2025 · backed by TPG Rise Climate, SoftBank Vision Fund 2, HV Capital, Westly Group
Job description
About the role
We are looking for a (Senior) Analytics Engineer to join our team. In this role, you will work closely with stakeholders across ERP, Supply Chain Management, Logistics to turn complex business questions into clear, reliable and actionable data solutions.
You will take ownership of analytics projects from initial requirements through data modelling and delivery. The role combines stakeholder management, business analysis, hands-on analytics and modern data engineering, with an advanced Agentic AI toolkit at hand to help you deliver high-quality data products efficiently.
Your responsibilities
- Partner with business stakeholders to understand their objectives, processes and analytical needs.
- Translate business requirements into scalable data models and analytical solutions.
- Take end-to-end ownership of analytics projects, including scoping, prioritisation, delivery and stakeholder communication.
- Build and maintain reliable data models and transformations using SQL and dbt.
- Design and develop scalable, business-ready data models that provide a trusted foundation for decision-making.
- Ensure data quality, consistency and transparency across analytical products.
- Own new data integrations in the ERP and SCM domain, working closely with data engineers and business teams from source onboarding through production.
- Identify opportunities to simplify or automate recurring reporting and operational workflows.
- Leverage Agentic AI and LLM-based tools to deliver high-quality data products efficiently.
- Communicate progress, risks, dependencies and recommendations clearly to both technical and non-technical audiences.
- Contribute to analytics standards, documentation and knowledge sharing across the team.
What you bring
- 5+ years of experience in business intelligence, analytics, analytics engineering, data engineering or a comparable role.
- A good understanding of data modelling, data quality and analytical best practices.
- Practical experience with data engineering concepts, including data pipelines, transformations, SQL/dbt and cloud data platforms.
- Experience working with modern data warehouses such as Snowflake, BigQuery, Redshift or similar.
- Knowledge of or hands-on experience with ERP systems such as Microsoft Dynamics 365 or SAP, including their business processes and underlying data.
- The ability to understand business processes and translate them into effective data solutions.
- Strong stakeholder-management and communication skills.
- A structured, proactive and ownership-driven way of working.
Nice to have
- Experience or strong interest in Agentic AI, LLM-based applications and AI-powered workflow automation.
- Hands-on experience developing AI agents, prototypes or automated analytical workflows.
- Experience with Python and APIs.
- Familiarity with orchestration, version control and software-development practices.
- Experience in ERP, Supply Chain Management, Logistics, energy or another operationally complex environment.
- Experience supporting senior stakeholders with decision-ready insights.
What we value
You do not need to be an expert in every technology from day one. We value curiosity, sound analytical judgement and a willingness to learn. You should enjoy understanding complex problems, collaborating with different teams and building solutions that create measurable business value.
Why work at Enpal
- Mission-Driven Culture: Employees are united by the goal of fighting climate change and building Europe's largest renewable energy community. The company states: "We dream that our children will be able to grow up on the same beautiful planet as we did."
- High Growth Trajectory: As a well-funded unicorn (Series D, $655M raised) with a clear path to profitability and expansion, Enpal offers significant career growth opportunities.
- Entrepreneurial Environment: Described internally as a place that "promotes entrepreneurial thinking," with opportunities to take ownership and drive improvements. Employees report fast career progression (e.g., moving to Senior Team Lead in Account Management).
- Diverse & International Team: Over 60 nationalities represented, with English likely being a common language alongside German jobs.enpal.com.
- Location & Policy: Headquarters in Berlin, Germany. The company operates across multiple departments including Software Engineering, Product Management, Customer Care, Sales, Marketing, and more. Specific remote/hybrid policy is not publicly detailed but typical for Berlin tech scale-ups.
- Scale & Impact: Working on a product that is installed in over 100,000 homes, with the opportunity to shape the energy transition at a massive scale.