Junior Data Engineer

Location: Hybrid – West London (3 days remote)
Contract: Permanent, full-time
Salary: £35,000 – £45,000 dependent on experience
Equity: Share options available
Holiday: 25 days + birthday off + bank holidays

We are working exclusively with a fast-growing clean energy technology company that is redefining how green hydrogen is produced at industrial scale. Backed by significant funding and long-term commercial partnerships, they are now expanding their data capability to support the next phase of laboratory and pilot-plant development.

They are seeking a Data Engineer / Analytics Engineer to help build and maintain the core experimental data platform that underpins scientific development, validation, and scale-up activities.

This is a hands-on, technically engaging role operating at the intersection of data engineering, analytics, and laboratory experimentation. You will be responsible for transforming raw, real-world experimental and sensor data into structured, trusted datasets used daily by scientists and engineers.

This position is ideally suited to someone who enjoys working with messy, real-world data and wants to contribute directly to the commercialisation of next-generation clean energy technology.

• Build and maintain data pipelines for ingesting laboratory and plant data (CSV, Excel, sensor and time-series sources).

• Work closely with engineering and scientific teams to understand experimental data flows, formats, and validation needs.

• Clean, transform, and structure datasets for analysis, modelling, and reporting.

• Support the development of metadata standards to improve experiment traceability and comparability.

• Contribute to dashboards and analytical views used by R&D teams.

• Monitor data quality and investigate anomalies or pipeline issues.

• Improve documentation, data standards, and best practices.

• Progressively take ownership of operational data workflows under the mentorship of a senior data engineer.

You will ideally bring:

• Strong Python skills for data processing and analysis.

• Solid SQL capability and experience working with structured datasets.

• Experience or interest in time-series data and sensor-driven environments.

• A proactive, self-starting mindset with strong problem-solving ability.

• Comfort working within a fast-moving, technically complex start-up environment.

• A collaborative approach to working with scientists and engineers.

Desirable:

• Exposure to cloud platforms (GCP or AWS).

• Familiarity with analytics tools and dashboards.

• Experience with laboratory, scientific, or industrial datasets.

• Interest in hydrogen, energy systems, or electrochemistry.

• Understanding of ETL pipelines and data modelling concepts.

• Share options available.

• Flexible start and finish times.

• Flexible hybrid and remote working.

• Support for international remote working.

• Pension: 3% employee / 5% employer.

• Team milestone celebrations.

• Referral bonuses.

• Strong exposure to a wide range of technologies and accelerated personal development.