Data Engineer

Lightsonic is building the future of smart infrastructure monitoring through ML-powered solutions that integrate with urban technology stacks. Our disruptive technology helps preserve and optimize natural resources, reduce carbon emissions, and protect critical infrastructure, starting with our innovative approach to water leak detection.

Following recent investment and strong customer traction, we're in an exciting phase of rapid growth and expansion. As an early-stage company with proven technology, we're uniquely positioned to transform how critical infrastructure is monitored, creating a more sustainable and resilient environment.

Required:

• Someone excited about creating positive environmental impact through technology and motivated by solving real-world problems that matter
• Team player who thrives in collaborative environments, working effectively with both technical and non-technical stakeholders
• Adaptable individual who embraces the dynamic nature of a startup, adjusting to evolving objectives and enjoying direct interaction with our customers
• Data engineer with 4+ years of experience in building and maintaining data pipelines
• Professional with a Bachelor's degree or higher in a STEM field (Computer Science, Engineering, Mathematics, Physics, or related technical discipline)
• Strong developer with proficiency in Python and SQL who is comfortable working in a cloud environment and with modern data warehousing concepts
• Individual with expertise in modern data orchestration frameworks (e.g. Dagster, Airflow or similar) and data transformation tools (e.g. dbt)
• Familiarity with Python-based data processing frameworks (Dask or similar)
• Applicants must have the legal right to work in the UK or Norway, as applicable to the role location.

Desirable:

• Experience with IoT data processing or edge computing environments
• Familiarity with time-series data and acoustic signal processing
• Direct experience with elements of our technology stack (Azure IoT Edge, Azure Storage, dbt, Apache Iceberg, Trino, Dagster, Dask)
• Experience working with data versioning and metadata management
• Background in utilities or infrastructure monitoring industries

• As one of our first technical hires, you will have complete ownership of our data pipeline architecture from edge processing to analytics
• You'll design and implement systems that scale to handle 100s TB of data
• Successful candidates will provide thought leadership on data engineering best practices, from pipeline design to deployment and monitoring
• You'll build the foundation that enables our cutting-edge leak detection algorithms to operate efficiently at scale
• We work with complex, multi-dimensional time-series data and you'll continuously innovate to extract maximum value from these unique datasets
• Your work will directly impact how water utilities detect and prevent pipeline leaks, creating tangible environmental and societal benefits
• Successful candidates will directly shape the future of the company and share in its success

• Fast-paced and team-oriented environment where you will be instrumental in the direction of the company
• Remote first (with occasional travel for customer meetings and team collaboration)
• Life assurance and medical insurance
• 25 days holiday per year
• Home office setup allowance
• Eligible for company ESOP scheme