[Hiring] Senior Data Engineer @tem

Role Description

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.