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Data Engineer

Wiraa

Full-time
0-2 years experience
On-site

€3,500 - €5,000 per month

Key Skills

SQL
Data Modeling
Data Pipeline Development
Data Quality
Data Security
Data Platform Engineering
Self-Service Analytics
Machine Learning Platform Development
AI Tools
Dagster
Snowflake
PostgreSQL
Kafka
dbt
Kubernetes
AWS

Job Description

About The Company Zonneplan is a forward-thinking energy company committed to creating a sustainable future with a clear mission: plan Zero. This initiative aims for a Netherlands free from fossil fuels, eliminating emissions, waste, and dependency. We focus on accelerating the transition to smarter energy systems through data-driven and AI-powered solutions. At Zonneplan, collaboration and innovation are key, with short communication lines and a broad impact across the organization. We empower our teams with advanced tools, including AI licenses like Claude Code Max 20x, to enhance productivity and innovation in pursuit of a greener future. About The Role As a Data Engineer at Zonneplan, you will play a pivotal role in shaping the central data platform that impacts the entire organization. You will be responsible for building and improving reliable data pipelines, ensuring data quality, and enabling self-service solutions for various teams. Your work will directly enhance how quickly data requests are fulfilled and how autonomously teams can operate with data. You will collaborate closely with engineering, Trading & Optimization, GenAI, and other development teams to translate recurring data needs into sustainable solutions. Additionally, you will lay the technical foundation for a new machine learning platform, supporting future ML applications from model training to deployment. Embracing Agentic Engineering, you will integrate AI tools into daily workflows to automate repetitive tasks and continuously improve processes. Qualifications Minimum 1 to 2 years of experience as a Data Engineer with broad expertise in the field. Proficiency in SQL, data modeling, and building and maintaining reliable data pipelines. Strong sense of ownership regarding data quality, reliability, and security. Ability to communicate technical topics clearly to non-technical colleagues and collaborate across teams to translate user needs into solutions. Proactive identification and resolution of improvement opportunities without prompting. Daily use of AI tools to enhance efficiency and quality of work. Experience with technologies such as Dagster, Snowflake, Postgres, Kafka, dbt, dlthub, Airbyte, Kubernetes, or AWS is advantageous but not mandatory. Experience with data mesh or self-service analytics is a strong plus, demonstrating an understanding of enabling teams to work independently with data while maintaining quality and security. Proficiency in the Dutch language is required. Responsibilities Design, build, and enhance the central data platform and pipelines that provide reliable data across the organization. Monitor data workflows, proactively identify issues, and resolve them before impacting dashboards, analyses, or ML applications. Implement access controls and data quality checks to ensure secure and responsible data usage by teams. Translate organizational data requests into sustainable, self-service solutions to reduce turnaround times. Develop the technical foundation for the ML platform, collaborating with developers to meet requirements from model training through to serving. Utilize AI-driven tools such as Claude Code for development, testing, documentation, and monitoring. Automate recurring tasks and share learnings actively within the team to foster continuous improvement. Engage regularly with multiple teams including engineering, Trading & Optimization, and GenAI to align data solutions with business needs. Benefits Competitive salary ranging from €3,500 to €5,000 gross per month, based on experience and expertise. 25 vacation days with the option to purchase additional days. Travel expense reimbursement. Personal choice budget for sports, groceries, or other personal preferences. Immediate investment in your professional growth through the Zonneplan Academy and access to advanced tooling including a Claude Code Max 20x license. Clear career progression path from Medior Data Engineer to Senior Data Engineer and potentially Tech Lead Data. A dynamic work environment with close collaboration among engineers, data specialists, and product teams, providing broad impact and recognition. 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, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified applicants are encouraged to apply and will receive consideration without regard to any protected characteristic.

Core Responsibilities

Build and improve the central data platform and reliable pipelines, monitoring workflows and implementing data quality checks and access controls. Develop the technical foundation for the machine learning platform, create self-service data solutions, and collaborate across teams while using AI tools to automate and improve workflows.

Requirements

Requires at least 1–2 years of data engineering experience, proficiency in SQL, data modeling, and reliable pipeline development, and a strong focus on data quality, reliability, and security. Candidates must communicate effectively across teams, proactively identify improvements, use AI tools in their daily work, and be proficient in Dutch; experience with the listed data technologies or data mesh is advantageous.

Benefits

  • 25 Vacation Days
  • Option to Purchase Additional Vacation Days
  • Travel Expense Reimbursement
  • Personal Choice Budget
  • Professional Development Through Zonneplan Academy
  • Claude Code Max 20x License
  • Career Progression Opportunities

About Wiraa

Industry: Technology, Information and Internet

Company size: 11-50 employees

Wiraa makes job discovery feel less chaotic and more intentional. Instead of jumping between platforms, repeating the same steps, and getting lost in the process, everything is brought into one place so you can focus on what actually matters. No clutter, no confusion, just a clearer way to move forward.

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