Senior Data Engineer
Level inferred from job title
Job description
Senior Data Engineer at an AI-native energy transaction infrastructure company, owning the design, reliability and recovery of data ingestion pipelines and systems. The role is an individual contributor position on a Data Service team of 4, focused on time-series, textual and event-stream data.
At a glance
- Employment
- Full-time
- Work mode
- Remote · United Kingdom
- Pay
- GBP 82,700 – 93,350 / year
What you'll do
- 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
- Work closely with the AI team as their data needs on the platform grow
- Help take the number of data products with a defined SLA from 2 to 10
What we're looking for
- Strong Python skills, with proven experience building and maintaining production data pipelines
- Experience owning the design, reliability, and resilience of a data pipeline or system end-to-end, not just writing pipeline code
- AWS or GCP experience
- Great communication skills, comfortable working directly with stakeholders to scope and agree SLAs, and explaining technical trade-offs to non-technical audiences
- Strong team player, comfortable working independently against a backlog and making judgement calls on prioritisation, while fitting into an existing team of 4
- Terraform experience
Nice to have
- 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
Your team
Data Service
Team of 4; the role owns the design, reliability, and recovery strategy of specific ingestion pipelines and systems end-to-end.
Benefits
25 days holiday plus public holidays; swap public holidays for the ones that matter most to you, and enjoy your birthday off
- Salary aligned to internal benchmarks and reviewed twice a year
- Stock options so everyone has ownership in our mission
- Remote first and flexible working, with clear core hours and no internal meetings on Friday afternoons
- Up to GBP1,200 or EUR1,200 per year for your remote setup
- Up to GBP150 or EUR150 per month for wellbeing
How to get hired
- 1Intro call with Talent, 30 minutes
- 2Behavioural interview, 60 minutes
- 3Skills interview with cross-functional leaders, 60 to 90 minutes, including a practical exercise
- 4Bar Raiser interview with leadership stakeholders, 45 minutes
Apply
Direct apply at tem
Opens the job posting at tem
About tem
Rebuilding the energy transaction, making it transparent and fair
tem has built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced, cutting out inefficient fees, automating complex market flows, and bringing transparency and fairness to energy transactions at scale. Its modern utility product, RED, has facilitated thousands of business customers and billions in energy transaction value.
Mission
To put power back where it belongs, in the hands of customers, and to take on access to low cost electricity by fixing a broken global energy market.
Key facts
- Energy technology
- Closed a $75 million Series B in late 2025, led by Lightspeed Venture Partners
- Series B participation from Albion, Atomico, Allianz, Hitachi Ventures, Schroders Capital and others
- RED has facilitated thousands of business customers and billions in energy transaction value
- Scaling internationally toward AI-driven infrastructure for electricity markets worldwide
Partners & customers
What they value
- Transparency
- Fairness
- Efficiency
- Sustainability