tem - Staff Data Engineer
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Requirements
• Proven experience operating at staff level (ownership of systems, not just pipelines) • Experience building and scaling modern data platforms • A track record of operating at staff or principal level: you've owned systems, shaped technical direction across teams, and influenced how engineering gets done — not just delivered pipelines. • Deep experience building and scaling production data platforms, including high-ingestion time-series workloads, and strong hands-on ability in Python and modern data stack components (orchestration, warehousing, observability). • The ability to design for reliability and scale — you understand the trade-offs in data system design and have made consequential architecture decisions you can speak to clearly. • A product mindset: you care about whether the data is actually useful and used, not just whether the pipeline ran green. • Experience with cloud data infrastructure (AWS or GCP) and a point of view on what good looks like. • The communication skills to lead without authority — influencing technical direction across teams and making the case for the right thing even when it's harder. • Strong programming skills in Python, with experience building production-grade data systems • Experience with modern data stack components (e.g.): • Orchestration: Airflow / Dagster • Warehousing: Snowflake / BigQuery / Redshift / ClickHouse • Streaming (nice to have): Kafka / Flink • Experience with cloud platforms (AWS / GCP) • Experience with data observability and testing practices • Familiarity with time-series data at scale • Experience supporting ML pipelines in production • Background in high-growth startups or scale-ups • WHAT SUCCESS LOOKS LIKE • The data platform handles tem's current scale without firefighting, and is architected for the next phase of growth • Other teams can access, trust, and use data without routing requests through the data engineering team • There is a tight, reliable feedback loop between data ingestion and consumption: trading, forecasting, and analytics teams make faster decisions because the data is there when they need it • The data engineering team has clearer standards, better practices, and higher output than when you arrived
Responsibilities
• Technical Leadership • Shape the technical direction across batch and streaming pipelines, setting the architecture others build to • Set standards for pipeline design and data quality • Lead design reviews and mentor other data engineers • Evaluate and introduce tooling where it raises the bar — and make the case for when it doesn't • Data Platform & Pipelines • Build and maintain robust ETL/ELT pipelines • Build systems optimised for high-ingestion, low-latency querying of time-series data (TSDS) • Optimise pipelines for performance, cost, and reliability • Enable self-serve analytics and decision-making across the company • Reliability and observability • Implement data quality frameworks with real teeth: SLAs, automated testing, lineage, and monitoring • Establish practices specific to energy data: late arrivals, reprocessing, backfills, and the failure modes that matter in this domain • Build the observability layer that makes the platform trustworthy without constant human oversight • Scale and performance • Identify and fix the bottlenecks that constrain us today • Optimise pipelines for performance, cost, and reliability as data volumes grow • Architect for the next order of magnitude, not just the next quarter • Technical leadership and culture • Set engineering standards for pipeline design, data quality, and system observability • Lead design reviews and mentor data engineers, raising the bar for how the team works • Act as a multiplier: the people around you should get better because of how you approach problems
Benefits
• Competitive salary - our current band for this role is £105,000 or equivalent in local currency. • We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. • Stock Options - everyone on the team has ownership in our mission. • 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday 🎉. • Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. • Home working & wellbeing budgets: • Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). • Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps.
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