Lead Data Engineer

Job Description

Job Title: Lead Data Engineer

Location: Zoetermeer, The Netherlands

Reports to: CEO

Contract Type: Full Time

About LG Sonic: LG Sonic is a global leader in sustainable water quality management, dedicated to developing cutting-edge technologies that help protect water ecosystems. With operations in over 50 countries, we specialize in advanced solutions for algae control, water quality monitoring, and environmental protection. Our award-winning ultrasonic technology, combined with real-time data monitoring, empowers industries, municipalities, and governments to maintain clean and healthy water bodies while reducing chemical use. At LG Sonic, we foster a dynamic and innovative work environment, driven by a passion for sustainability and technological excellence. Join our team and be part of a mission to create cleaner water for future generations.

Position Summary:

We are seeking an experienced Technical Lead with a strong background in data systems and cloud-based solutions to spearhead the development of an integrated analytics platform. You will lead a cross-functional team comprising two software engineers and one remote sensing expert, driving the architecture, implementation, and deployment of a scalable cloud infrastructure. The ideal candidate will bring expertise in data integration, predictive modeling, and workflow automation while fostering effective collaboration and ensuring the on-time delivery of robust, data-driven solutions.

Position duties and responsibilities:

• Lead and mentor the software development team, establishing priorities, reviewing code, and enforcing best practices to maintain high-quality software standards.
• Architect and manage scalable cloud infrastructure on AWS, supporting real-time data processing, model integration, and delivery pipelines.
• Integrate and operationalize machine learning models, ensuring efficient deployment within robust, production-grade environments.
• Collaborate closely with domain scientists and remote sensing experts to ensure alignment between technical implementation and underlying data models.
• Oversee CI/CD pipelines and system testing, facilitating smooth deployments and continuous performance improvements across the platform.

Qualification and requirements:

• Proven programming expertise, with a strong preference for Python and familiarity with modern development practices.
• Hands-on experience with AWS services, particularly SageMaker, S3, and Lambda, for data handling and machine learning workflows.
• Demonstrated experience leading small technical teams, with the ability to coordinate development tasks and mentor team members.
• Solid understanding of machine learning pipelines, including training, deployment, and integration into scalable software systems.
• Strong interpersonal and communication skills, enabling effective collaboration across technical and non-technical stakeholders.

Preferred:

• AWS certifications such as Solutions Architect or Machine Learning Specialty.
• Experience working with geospatial or environmental datasets, particularly those sourced via remote sensing platforms.
• Familiarity with modern DevOps tools and practices, including CI/CD pipelines, containerization (e.g., Docker), and infrastructure-as-code (e.g., Terraform, CloudFormation).

Why Join LG Sonic? At LG Sonic, we offer an exciting and collaborative work environment where your contributions directly impact our mission of environmental sustainability and innovation. By joining our team, you will have the opportunity to grow professionally while being a part of a global leader in water treatment technology. We believe in investing in our people and fostering an inclusive culture where every team member's ideas are valued.

LG Sonic Values: Unity, Trust, Positivity, Over deliver and Passion.

Application Process: If you are interested in joining LG Sonic, we encourage you to apply by following these steps:

• Submit Your CV: Send your updated CV to with the subject line: Lead Data Engineer
• Apply via Recruitment Platforms: You can also apply through recruitment websites where this position is posted.
• Application Review: Our HR team will carefully review all applications and contact shortlisted candidates for further steps.
• Hiring Process: Selected candidates will be invited for a written test (optional depending on position) followed by interviews to assess their skills, experience, and suitability for the role.
• For any questions or further information, please contact our HR department directly at

Applicants must already reside in the Netherlands, preferably within the Randstad area.