Data Engineer (2–3 Month Contract) | Metris Energy

Metris Energy is seeking a Contract Data Engineer for a 2-3 month project to rebuild and modernize their data platform. The role involves migrating existing Python/SQL ETL jobs into a new framework, rebuilding core pipelines, especially for inverter and performance data. The engineer will work closely with a Senior Data Engineer, focusing on hands-on execution, clean implementation, and autonomy in a fast-moving environment.

Must Have

• Strong proficiency in Python for data engineering tasks.
• Hands-on experience with ETL pipelines, data ingestion, or similar workflow-driven systems.
• Ability to refactor, migrate, and clean up existing codebases.
• Solid knowledge of SQL for data querying and transformations.
• Experience delivering work in fast-paced, execution-focused environments.
• Comfortable working with minimal supervision and owning tasks end-to-end.
• Ability to ensure accuracy, reliability, and consistency across data pipelines.

Good to Have

• Experience with Airflow or similar orchestration systems.
• Exposure to cloud-native data environments or data platform migrations.
• Familiarity with IoT, sensor data, or time-series data processing.
• Experience working in early-stage or high-growth tech environments.

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.On behalf of Metris Energy, GT is looking for a Data Engineer (Contract) who would enjoy a hands-on, fast-moving project focused on rebuilding and modernizing the data platform powering one of the most innovative solar energy analytics products on the market.### About the ClientMetris Energy is the UK’s leading solar-asset-management platform, helping solar funds and O&M installers maximise return on investment by turning real-time data into action. Their platform enables clients to monitor every watt, automate operations & maintenance, do instant PPA billing, and generate clear insights — all in one place.Metris believes the future of energy is distributed — and they’re building the tools so any company can become a power provider.### About the RoleMetris is transitioning from a functional MVP to a scalable, structured data platform, and is looking for a Data Engineer to support a 2–3 month migration effort.* Your focus will be to move existing Python/SQL ETL jobs into a new framework and rebuild core pipelines—particularly those handling inverter and performance data.* You’ll work closely with the Senior Data Engineer, who provides architectural direction and reviews, while you take ownership of day-to-day execution.* The environment is fast-moving, high-trust, and pragmatic, with an emphasis on clean implementation, speed, and autonomy. The tech stack includes Python, SQL, cloud-native tools, and an internal Airflow-like orchestrator (Airflow experience is helpful but not required).### Responsibilities* Migrate existing Python/SQL ETL jobs into the new data platform.* Rebuild and refactor pipeline logic following established architectural patterns.* Work with inverter, sensor, and performance data pipelines to ensure accurate ingestion.* Deliver high-quality implementations across multiple independent, parallelizable tasks.* Produce clean, consistent, production-ready code.* Collaborate with the Senior Data Engineer for reviews and technical alignment.* Troubleshoot issues and validate data correctness after migration.* Document changes clearly and maintain logical clarity across pipelines.* Communicate progress proactively and manage your work independently.### Essential knowledge, skills & experience:* Strong proficiency in Python for data engineering tasks.* Hands-on experience with ETL pipelines, data ingestion, or similar workflow-driven systems.* Ability to refactor, migrate, and clean up existing codebases.* Solid knowledge of SQL for data querying and transformations.* Experience delivering work in fast-paced, execution-focused environments.* Comfortable working with minimal supervision and owning tasks end-to-end.* Ability to ensure accuracy, reliability, and consistency across data pipelines.### Nice-to-have* Experience with Airflow or similar orchestration systems.* Exposure to cloud-native data environments or data platform migrations.* Familiarity with IoT, sensor data, or time-series data processing.* Experience working in early-stage or high-growth tech environments.### Interview Steps1. GT interview with Recruiter2. Technical interview3. OfferApply for this JobThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.