Senior Data Engineer

Own the design, reliability, and resilience of ingestion pipelines end-to-end, including TSDS, with a clear recovery strategy when things break.

Build and maintain ETL/ELT pipelines for new and existing data sources.

Decide the right approach (batch vs. streaming) for each pipeline in your domain, including high-scale, low-latency requirements for time-series data.

Set data quality checks that make an SLA commitment possible, and hold the line on them.

Own the day-to-day reliability of the data platform: monitoring, testing, and fixing issues before they become firefights.

Own code quality and standards for the systems you're responsible for, including CI checks (linting, tests, coverage).

Work through the existing tech debt backlog, prioritising fixes that unblock SLA commitments.

Optimise pipelines for performance and cost as data volumes grow.

Handle the failure modes specific to energy data: late arrivals, reprocessing, backfills.

Build and improve observability across your systems so problems surface before they cause downstream impact.

Set up alerting tied to the SLAs the team is committing to.

Investigate and resolve issues within your domain, escalating genuinely cross-system problems.

Help scope and prepare the platform for new data sources tied to international expansion.

Flag where current architecture won't hold up as scope grows, even if fixing it isn't your call to make alone.

Work closely with the AI team as their data needs on the platform grow.

Experience with time-series data at scale.

Experience with modern data stack tooling (Airflow, Snowflake, BigQuery, Redshift, ClickHouse).

Experience in energy or climate tech.

Background in high-growth startups or scale-ups.

Genuine interest in how AI tooling and workflows intersect with data engineering.

We're open to someone who doesn't tick every box here, as long as they bring solid AWS or GCP experience and the ability to own their own work end-to-end.

We move fast. Most processes take 2 to 3 weeks from first chat to offer. If you need us to adapt anything, let us know.

Intro call with Talent, 30 minutes.

Behavioural interview, 60 minutes.

Skills interview with cross-functional leaders, 60 to 90 minutes, including a practical exercise.

Bar Raiser interview with leadership stakeholders, 45 minutes.

We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.