At Sunlight Group, we are pioneering the future of energy storage for industrial and advanced technology applications, driven by a genuine passion for performance and continuous improvement. We operate with a deep awareness of our environmental impact, fostering a culture of openness and respect in all our interactions. With a strong customer focus, we relentlessly leverage data and insights to develop innovative solutions that empower our clients and enhance our shared ecosystem. Embracing an entrepreneurial spirit, we cultivate an agile and collaborative environment where our people are inspired through open communication, continuous learning, and the opportunity to unlock their full potential. 

Our Vision: Transforming Energy Storage Solutions To Power A Sustainable Tomorrow.

Our Mission: We deliver cutting-edge, high quality energy storage solutions for industrial and advanced technology applications, driving an all-electric future.

As a Data Engineer, you build, manage and optimize data pipelines from multiple sources like SAP S/4 HANA or MS Dynamics to ensure seamless and efficient workflows. You design and maintain secure, scalable data systems while monitoring daily operations and resolving data-related issues promptly. Additionally, you fine-tune database performance, maintain comprehensive documentation, and collaborate closely with data scientists and analysts to meet their data requirements. Your ultimate goal is to provide reliable datasets that empower business and analytical insights.

Key responsibilities of this role include:

• Design and implement scalable data pipelines using modern data platforms such as Microsoft Fabric.
• Develop and maintain secure and governed data models within the data platform.
• Monitor and optimize data operations for performance, scalability and reliability.
• Apply CI/CD and DevOps practices for automated deployment and data pipeline lifecycle management.
• Collaborate with data scientists, analysts and business stakeholders to understand requirements and deliver fit-for-purpose datasets.
• Support enterprise-wide initiatives related to data governance, data quality and compliance.

Requirements

• Bachelor’s degree in Computer Science, Engineering or relevant field (Master’s degree will be a plus).
• 2-4 years of experience in Data Engineering or related role. Internships and academic projects may be considered.
• Very good knowledge of SQL, Python and data modeling techniques.
• Solid understanding of relational and NoSQL databases.
• Hands-on experience with modern data platforms - ideally Microsoft Fabric, Azure Data Factory, PowerBI

Soft Skills

• Strong analytical and problem-solving mindset.
• Clear communicator with the ability to collaborate across business and technical teams.
• High attention to detail and strong commitment to data accuracy and quality.
• Proactive, self-driven, and open to continuous learning.

Benefits

What we offer you

To start with, we give you the opportunity to thrive in a restless team and grow your potential in an innovative environment. As per your compensation and rewards package, this is a preview:

        💸 Competitive salary package and bonus scheme

        👩‍⚕️ Health and life insurance for you and your family

        🧘🏻 Employee wellness program & initiatives

        📚 Continuous training opportunities

        ⭐ Clear career paths & a developmental 360° feedback framework

        ✈️ International mobility opportunities