Data Engineer

About The Company Zonneplan is a leading organization committed to transforming the energy landscape by promoting sustainable and renewable energy solutions. Our mission is to create a future where energy is clean, accessible, and efficient, aligning with our vision of a Netherlands free from fossil fuels. We leverage innovative technology and data-driven approaches to optimize energy systems, improve customer experiences, and accelerate the transition to renewable energy sources. Our team is passionate about making a tangible impact on the environment and society, fostering a collaborative and forward-thinking work culture that encourages continuous learning and growth. About The Role As a Data Engineer at Zonneplan, you will play a pivotal role in developing and enhancing our central data platform. Your work will directly impact the entire organization by ensuring reliable, secure, and accessible data pipelines and models. You will be responsible for building robust data infrastructure that supports various teams, including engineering, trading, optimization, and AI development. Your contributions will lay the technical foundation for our upcoming machine learning platform, enabling advanced analytics and AI-driven solutions. You will work closely with cross-functional teams to translate data requests into sustainable self-service solutions, ensuring faster data processing and empowering colleagues to work independently with data. The role offers an exciting opportunity to be at the forefront of AI integration, automation, and data-driven decision-making, all within a collaborative environment that values innovation and continuous improvement. Qualifications Minimum 1-2 years of experience as a Data Engineer or similar roleProficiency in SQL and data modelingExperience in building and managing reliable data pipelinesStrong understanding of data quality, security, and reliability principlesAbility to communicate complex technical concepts to non-technical colleaguesExperience with tools such as Dagster, Snowflake, Postgres, Kafka, dbt, Airbyte, Kubernetes, or AWS is a plusFamiliarity with data mesh architecture and self-service analytics is advantageousInterest and daily use of AI tools like Claude Code or similarProactive mindset with the ability to identify and implement improvements independentlyWillingness to learn new tools and technologies quickly Responsibilities Develop and improve the central data platform to support organizational needsCreate and maintain dependable data pipelines and models ensuring data integrity and availabilityMonitor data processes, identify issues early, and resolve them proactivelyImplement data security measures, access controls, and quality checksTranslate organizational data requests into scalable, sustainable solutionsLay the technical groundwork for the ML platform, collaborating with developers to align on requirementsUtilize AI tools to automate tasks, enhance development, and improve documentation and monitoringShare insights and learnings actively within the team to foster continuous improvementStay updated on emerging data tools and technologies, integrating them into workflows as appropriate Benefits Competitive salary ranging from €3,500 to €5,000 gross per month, based on experience and skills25 vacation days, with options to purchase additional daysReiskostenvergoeding (travel allowance)Personalized keuzebudget for sports, groceries, or other personal needsAccess to Zonneplan Academie for professional development and continuous learningState-of-the-art tooling, including a Claude Code Max 20x license or equivalentClear career progression paths from medior to senior Data Engineer and Tech Lead DataDynamic work environment with close collaboration among engineers, data specialists, and product teamsContributing to a sustainable mission with a tangible societal impact Equal Opportunity Zonneplan is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. We believe that diverse teams foster innovation and drive better results, and we welcome applicants from all backgrounds to join us in building a sustainable energy future.