Data Engineer

Statera Energy · London · On-site · Full-time

The Role

Statera Energy is hiring a Data Engineer to take on a meaningful share of delivery work as we expand our data platform across multiple internal workstreams.

The role focuses on building and maintaining production data pipelines, contributing to platform architecture, and ensuring data quality across market, telemetry, and operational datasets. You will work closely with our Senior Data Engineer, and provide technical guidance to the Junior Data Engineer. This is a hands-on engineering role with real ownership from day one.

Key Responsibilities

Pipeline Development

Design, build, and maintain robust batch data pipelines across market data, telemetry, and operational datasets

Own pipeline reliability and performance; diagnose and resolve failures proactively

Contribute to schema design, table structure, and database optimisation

Data Quality

Implement validation frameworks, testing, and monitoring across pipelines

Clean, structure, and standardise datasets for consistent use across analytics and reporting

Drive resolution of technical debt across pipelines and data infrastructure

Collaboration

Work with the Senior Data Engineer on architecture and platform decisions

Translate data requirements from Analytics/Trading, Commercial, and Asset Management into well-scoped delivery tasks

Provide guidance and support to the Junior Data Engineer

Platform

Support deployments, testing, and documentation

Maintain clear, well-documented data processes and pipeline logic

Core Skills

Strong Python and SQL

Hands-on experience building and maintaining production pipelines, with an orchestration tool (Prefect, Airflow, or similar)

Experience with columnar or analytical databases (ClickHouse or similar)

Comfortable handling large-scale time-series datasets

Familiarity with cloud platforms (Azure preferred)

Good testing and documentation practices

Desirable

Experience in energy, commodity markets, or financial services data

Familiarity with Azure DevOps, Azure ML, or similar tooling

Experience with dashboards (Grafana, Power BI, or similar)

Profile

3–5 years' experience in a data engineering or similar role

Able to own workstreams independently with limited supervision

High standards for code quality, reliability, and documentation

Practical and delivery-focused, with a collaborative working style