As a Senior Analytics Engineer – Asset Management, your mission is to enable Enpal’s Asset Management organization with reliable, scalable, and trusted data models and reporting products. You will build and maintain dbt transformation pipelines, create high-quality analytics datasets, and support the delivery of asset performance, refinancing, and portfolio reporting for Germany’s largest green energy-tech company. You will work in a fast-moving environment with changing priorities and complex data sources, and you are expected to bring structure, ownership, and clarity to ambiguous problems. Build &amp; own analytics foundations for Asset Management<ul><li>Work closely with stakeholders in Asset Management, Finance, Accounting and Controlling teams to design, build, and maintain dbt-based transformation pipelines and analytics-ready data models.</li><li>Develop and maintain robust datasets supporting portfolio monitoring, asset lifecycle tracking, customer agreements, refinancing reporting, and cashflow/rent payment tracking.</li><li>Ensure data models are well-documented, tested, and reliable, enabling self-service usage across the organization.</li></ul> Enable high-quality reporting &amp; automation<ul><li>Automate and quality-control recurring reporting processes (monthly/weekly), including asset performance reports used by internal stakeholders and external refinancing partners.</li><li>Build long-lasting reporting layers powering Tableau / Power BI / Streamlit dashboards and operational reporting.</li><li>Define and implement data quality checks, monitoring, and validation logic to ensure consistent KPI definitions and trustworthy outputs.</li></ul> Navigate complex finance + operational data landscapes<ul><li>Develop deep knowledge of Enpal’s financial and operational systems such as MS Dynamics (ERP) and auxiliary tools (e.g. Aryza, Contavio, Lucanet, Navan, Spendesk), ensuring correct interpretation and usage of financial and asset-related data in the Data Warehouse.</li><li>Collaborate with system owners and stakeholders to improve upstream data quality and propose enhancements to system usage or data capture processes.</li></ul> Drive stakeholder alignment &amp; prioritization<ul><li>Own the project intake process for Asset Management analytics and bring transparency on trade-offs, timelines, and scope through communication.</li><li>Lead regular stakeholder touchpoints (e.g. weekly prioritization meetings) and support quarterly roadmap planning.</li><li>Translate business needs into structured work packages and deliver solutions balancing short-term speed with long-term maintainability.</li></ul> Support analytics maturity &amp; best practices<ul><li>Coach and support analysts and business users in consuming data through SQL and semantic models, enabling a strong self-service culture.</li><li>Promote strong engineering standards: version control, code reviews, modular dbt design, and scalable modelling patterns.</li></ul>

Clean energy for everyone - that is our dream at Enpal. Whether renting or buying, we offer the solar solution in an uncomplicated, quick and flexible manner. From the solar system, the power storage to the wallbox and the intuitive app, we at Enpal offer the worry-free package. Biggest advantage: Enpal gives you six months to decide on the rental or purchase option. Maximum flexibility is guaranteed at a fixed price and without a deposit or reservation fee. We want to build the largest renewables community in Europe. According to the motto &ldquo;digital, decentralized and 100% renewable&rdquo;, our heart beats for the rapid development of a unique company and the fight against the climate crisis. We are only just beginning our journey to becoming the largest energy company in Europe. That's why we're looking for talented people who will accompany us on this path, leave their mark and celebrate successes with us. With us you will find a dynamic working environment, as well as the space to develop yourself and use your strengths. As the first green unicorn in Germany and the fastest-growing energy company in Europe (FT1000 Ranking 2022 by Financial Times &amp; Statista), we are continuing to advance our mission of green energy for everyone. Be part of this success story and change the world together with us! Apply now: www.enpal.de/jobs

Senior Data Analytics Engineer

As a Senior Analytics Engineer – Asset Management, your mission is to enable Enpal’s Asset Management organization with reliable, scalable, and trusted data models and reporting products. You will build and maintain dbt transformation pipelines, create high-quality analytics datasets, and support the delivery of asset performance, refinancing, and portfolio reporting for Germany’s largest green energy-tech company.&nbsp;You will work in a fast-moving environment with changing priorities and complex data sources, and you are expected to bring structure, ownership, and clarity to ambiguous problems.&nbsp;Build &amp; own analytics foundations for Asset Management<ul><li>Work closely with stakeholders in Asset Management, Finance, Accounting and Controlling teams to design, build, and maintain dbt-based transformation pipelines and analytics-ready data models.</li><li>Develop and maintain robust datasets supporting portfolio monitoring, asset lifecycle tracking, customer agreements, refinancing reporting, and cashflow/rent payment tracking.</li><li>Ensure data models are well-documented, tested, and reliable, enabling self-service usage across the organization.</li></ul>&nbsp;Enable high-quality reporting &amp; automation<ul><li>Automate and quality-control recurring reporting processes (monthly/weekly), including asset performance reports used by internal stakeholders and external refinancing partners.</li><li>Build long-lasting reporting layers powering Tableau / Power BI / Streamlit dashboards and operational reporting.</li><li>Define and implement data quality checks, monitoring, and validation logic to ensure consistent KPI definitions and trustworthy outputs.</li></ul>&nbsp;Navigate complex finance + operational data landscapes<ul><li>Develop deep knowledge of Enpal’s financial and operational systems such as MS Dynamics (ERP) and auxiliary tools (e.g. Aryza, Contavio, Lucanet, Navan, Spendesk), ensuring correct interpretation and usage of financial and asset-related data in the Data Warehouse.</li><li>Collaborate with system owners and stakeholders to improve upstream data quality and propose enhancements to system usage or data capture processes.</li></ul>&nbsp;Drive stakeholder alignment &amp; prioritization<ul><li>Own the project intake process for Asset Management analytics and bring transparency on trade-offs, timelines, and scope through communication.</li><li>Lead regular stakeholder touchpoints (e.g. weekly prioritization meetings) and support quarterly roadmap planning.</li><li>Translate business needs into structured work packages and deliver solutions balancing short-term speed with long-term maintainability.</li></ul> Support analytics maturity &amp; best practices<ul><li>Coach and support analysts and business users in consuming data through SQL and semantic models, enabling a strong self-service culture.</li><li>Promote strong engineering standards: version control, code reviews, modular dbt design, and scalable modelling patterns.</li></ul>

Senior Data Analytics Engineer

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About the Company

Enpal

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