Key Skills

Job Description

About The Company Zonneplan is a forward-thinking energy company committed to accelerating the transition to sustainable energy solutions. By leveraging data-driven insights and cutting-edge technology, Zonneplan aims to create smarter energy systems that empower individuals and organizations to make faster, better decisions. The company fosters a collaborative and innovative work environment where engineering, data science, and product teams work closely to build foundational platforms that support the entire organization. Zonneplan actively integrates artificial intelligence and machine learning into its workflows to enhance operational efficiency and drive its ambitious sustainability goals under plan Zero. About The Role As a Data Engineer at Zonneplan, you will play a pivotal role in shaping the company’s data infrastructure and enabling data accessibility across all teams. You will be responsible for building and improving the central data platform, ensuring data pipelines run reliably, and establishing the technical foundation for new machine learning platforms. Your work directly impacts the organization by accelerating data request fulfillment and empowering teams with self-service data solutions. You will collaborate daily with various teams including engineering, Trading & Optimization, GenAI, and other development groups to translate recurring data requests into sustainable solutions and securely expose datasets for autonomous use. The role emphasizes Agentic Engineering, where you are encouraged to utilize AI tools in your daily tasks to enhance productivity and innovation. This position offers a clear growth path from Medior Data Engineer to Senior Data Engineer and eventually to Tech Lead Data. Qualifications Minimum 1 to 2 years of experience as a Data Engineer or in a related data engineering role Strong proficiency in building and maintaining reliable data pipelines and data models Experience with data access controls and data quality checks to ensure responsible data usage Ability to communicate complex technical topics clearly to non-technical colleagues Collaborative mindset with experience working across teams to translate user needs into data solutions Quick learner with the ability to adopt new tools and technologies efficiently Experience with data mesh architectures or self-service analytics platforms is a plus Proficiency in Dutch language is required Responsibilities Develop and maintain scalable data pipelines and data models that serve the entire organization Ensure secure and broad availability of data by implementing access controls and quality checks Build the foundational technical infrastructure to support future machine learning applications Automate recurring tasks and processes to improve efficiency and reduce manual effort Collaborate closely with engineering, data science, and product teams to deliver reliable data solutions Translate data requests into sustainable self-service solutions that empower teams Share knowledge and best practices actively within the team to foster continuous learning Utilize AI tools and Agentic Engineering principles to enhance data engineering workflows Participate in the hiring and onboarding process, including technical assessments and case studies Benefits Opportunity to work on impactful projects that support sustainability and renewable energy goals Collaborative and dynamic work environment with cross-functional teams Access to advanced AI tools such as Claude Code Max 20x license to support your work Clear career progression path from Medior to Senior Data Engineer and Tech Lead roles Continuous learning culture with knowledge sharing and professional development opportunities Flexible working arrangements and a supportive company culture Equal Opportunity Zonneplan is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Core Responsibilities

Build and maintain scalable data pipelines, data models, and platform infrastructure, ensuring data is reliable, secure, and accessible across the organization. Collaborate with engineering, data science, product, and other teams to turn recurring data requests into self-service solutions, automate processes, and support future machine learning applications.

Requirements

Requires at least 1–2 years of data engineering or related experience, with strong skills in reliable data pipelines and data models, access controls, and data quality checks. Candidates should communicate technical topics clearly, collaborate across teams, learn new tools quickly, and be proficient in Dutch; experience with data mesh or self-service analytics is a plus.

Benefits

• Flexible Working Arrangements
• Professional Development
• Access to Advanced AI Tools
• Career Progression Opportunities