--- title: 'Senior Data Engineer at tem' canonical: 'https://feeny.ai/job/senior-data-engineer-tem-united-kingdom-qbfrw0qkdpy0' type: 'job' last_seen: '2026-09-13' --- # Senior Data Engineer at tem - **Company:** tem - **Location:** United Kingdom - **Compensation:** £83k–£93k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-10 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.ashbyhq.com/tem/9d3b99f8-8b01-4bd9-99e0-a037aadc0b2e ## Job description 📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. ## The Role We're hiring a Senior Data Engineer. Data sits at the core of what tem does. Our time-series data is the spine that runs from pricing through to billing: every transaction depends on it working. You'll be working across a genuinely varied set of workloads: textual data, time-series data, and event streams, each with its own ingestion and reliability challenges, including TSDS. You'll join our Data Service team of 4, owning the design, reliability, and recovery strategy of specific ingestion pipelines and systems end-to-end. This is an individual contributor role: no team to manage, full ownership of the work you do. The team has more work than hands right now, and this role exists to close that gap so the business can move faster on the data it depends on. You'll also work closely with our AI initiatives as they grow: the platform you own increasingly becomes the foundation those efforts depend on. You will: - Own the design, reliability, and recovery strategy for the ingestion pipelines and systems in your domain. - Maintain and improve the data platform, including working through the existing tech debt backlog. - Build monitoring and alerting so issues surface before they become incidents. - Set the data quality checks that make an SLA commitment possible, and hold the line on them. - Help take the number of data products with a defined SLA from 2 to 10. ## Responsibilities Data Ingestion - 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. Platform Maintenance - 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. Monitoring & Alerting - 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. Supporting Expansion - 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. ## Requirements Must haves - 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. Bonus points - 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. ## Benefits & Perks - Salary aligned to internal benchmarks and reviewed twice a year. - Stock options so everyone has ownership in our mission. - 25 days holiday plus public holidays. Swap public holidays for the ones that matter most to you, and enjoy your birthday off. - Remote first and flexible working, with clear core hours and no internal meetings on Friday afternoons. Home working and wellbeing budgets: - Up to GBP1,200 or EUR1,200 per year for your remote setup. - Up to GBP150 or EUR150 per month for wellbeing. Interview Process 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. ## About tem ## Company Overview - **One-liner**: tem is building an AI-native transaction infrastructure for energy markets, operating a modern utility (RED) that delivers cheaper, transparent electricity to businesses. - **Entity Type**: Private (Series B) - **Headquarters**: London, United Kingdom - **Founded**: 2021 - **Founders**: Joe McDonald (Co-Founder & CEO), Ross Mackay (Co-Founder) ## Core Business - **Primary industry**: Energy Technology / Energy Trading & Utility - **Target customers**: B2B – primarily small-to-medium businesses and renewable generators; expanding to enterprise customers. - **Mission**: “Universal access to the lowest-cost electricity” by reinventing how energy is bought and sold using AI. ## Products & Services - **[RED](https://www.tem.energy/)**: A “neo-utility” experience for business customers. Provides transparent, 30% cheaper energy bills with half-hourly metering, no hidden fees, and a digital dashboard for usage and billing. Currently the only utility using tem’s infrastructure. - **[Rosso](https://techcrunch.com/2026/02/09/tem-raises-75m-to-remake-electricity-markets-using-ai/)**: The core AI transaction engine that matches electricity generators with buyers. Uses machine learning and LLMs to predict supply/demand, automate trading, and remove intermediaries. Planned to be opened to other utilities in the future. ## Market Standing - **Valuation**: Over $300 million (per a source familiar with the Series B deal, reported by TechCrunch, Feb 2026). - **Key Metric**: Total funding raised – **$91.9M** (Pre-Seed, Seed, Series A, Series B). - **Notable Investors/Partners**: Lightspeed Venture Partners (lead, Series B), Atomico (lead, Series A), AlbionVC, Allianz, Hitachi Ventures, Revent, Schroders Capital, Voyager Ventures. - **Growth Signals**: - 6,000+ business sites now run on RED ([tem.energy](https://www.tem.energy/)). - Headcount: 99 employees (LinkedIn), with +7.3% monthly growth. - Customers include Boohoo Group, Fever-Tree, and Newcastle United FC. - 26 active job postings (as of mid-2025), with monthly job postings up 52.9%. - Plans to expand to Australia and Texas (US) using Series B funds. ## Competitive Advantages - **AI-native infrastructure**: Replaces multiple human-driven trading desks and intermediaries with a single AI-powered transaction layer, drastically reducing costs and latency. - **Transparency & pricing**: Customers save up to 30% on bills compared to wholesale market prices; bills are itemised with no hidden markups. - **Marketplace dynamics**: Focus on decentralised renewable generators and small businesses creates an ideal environment for the algorithms, and the model scales to enterprise. - **Dual business model**: RED proves the value of Rosso while generating revenue; Rosso is designed to become the AWS/Stripe of energy transactions. ## Strategic Focus - **Near-term**: Scale RED in the UK, deepen customer base, and prove unit economics. Continue hiring across engineering, product, and growth. - **Expansion**: Enter Australia and the US (starting with Texas) to replicate the model in deregulated markets. - **Long-term**: Open Rosso to third-party utilities to capture all transaction flow, aiming to become the universal infrastructure for energy trading. ## Why Work Here - **Culture**: Mission-driven team focused on solving climate and energy affordability through technology. Described as a “classic marketplace play” with a strong engineering ethos. - **Remote-first**: Fully remote work environment (offices in UK but most employees work remotely). - **Growth & impact**: High-growth startup with $91.9M in funding and a clear path to IPO (CEO has stated intention to go public). Employees have the opportunity to shape the future of energy markets. - **Open roles**: 26 active positions including ML Engineering Lead, Staff Full Stack Engineer, Senior Analytics Engineer, Principal Product Designer, and more. Strong emphasis on technical talent (32% of workforce in technical roles). - **Perks**: Not detailed, but the remote setup, equity in a fast-scaling company, and the chance to work on AI infrastructure for a critical industry are key draws. ## Sources 1. [tem.energy](https://www.tem.energy/) 2. [LinkedIn - tem](https://uk.linkedin.com/company/tem-energy) 3. [TechCrunch - Tem raises $75M](https://techcrunch.com/2026/02/09/tem-raises-75m-to-remake-electricity-markets-using-ai/) 4. [Built In - tem energy](https://builtin.com/company/tem) 5. [Ashby - tem jobs](https://jobs.ashbyhq.com/tem) ## Other roles at tem - [Principal Machine Learning Engineer - Revenue Optimisation](https://feeny.ai/job/principal-machine-learning-engineer-revenue-optimisation-tem-united-kingdom-5xnwk20pw3pm) — United Kingdom - [Senior Staff Machine Learning Engineer - Pricing](https://feeny.ai/job/senior-staff-machine-learning-engineer-pricing-tem-united-kingdom-apm8vcnf5re6) — United Kingdom - [Staff Data Analyst](https://feeny.ai/job/staff-data-analyst-tem-united-kingdom-t31qytt3hzfv) — United Kingdom - [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-tem-united-kingdom-73yt7xhhegg8) — United Kingdom - [Senior Product Manager - Trading](https://feeny.ai/job/senior-product-manager-trading-tem-united-kingdom-hk6a8gkg5ppv) — United Kingdom - [Team Assistant](https://feeny.ai/job/team-assistant-tem-united-kingdom-kcbkyh5kh6fb) — United Kingdom - [Staff QA Automation Engineer](https://feeny.ai/job/staff-qa-automation-engineer-tem-united-kingdom-vz7dh01pp0mv) — United Kingdom - [Brand & Creative Design Lead](https://feeny.ai/job/brand-creative-design-lead-tem-united-kingdom-fq1kn1yvskx1) — United Kingdom - [Customer Support Manager](https://feeny.ai/job/customer-support-manager-tem-united-kingdom-pc6h3ma282e0) — United Kingdom - [Senior Automation Specialist](https://feeny.ai/job/senior-automation-specialist-tem-europe-gjjb5e6bnfk0) — Europe