Data Engineer

PhysicsX is a deep‑tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI‑driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high‑fidelity, multi‑physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors and Automotive.

As we rapidly scale our organisation, the challenge is no longer just what we build, but how fast and effectively we evolve as an organisation. That requires clarity, instrumentation and the ability to learn continuously from signals across the entire business. We are building a dedicated Telemetry capability – systems, metrics and signals that let us objectively understand performance, risk and progress – and act on them at speed. As a Data Engineer, you will build and operate the technical foundations that allow PhysicsX to measure performance, detect early warning signals, accelerate decision‑making and enable intelligent automation. This role sits within the Strategy & Programs team but operates across Delivery, Product, Research and Operations, and requires both technical delivery and strategic partnership.

You will create PhysicsX’s single, trusted view of organisational performance, enabling leadership to move faster with confidence.

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• Reduce decision latency across the company
  
• Surface risks and bottlenecks early as we scale
  
• Replace fragmented, manual reporting with durable systems
  
• Enable continual improvement by measuring whether change actually leads to progress
  
• Lay the foundation for automation and AI‑enabled ways of working
  

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• Design and implement scalable telemetry infrastructure to capture and manage:
  
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  • Operational metrics across Delivery, Product, Research and Operations
    
  • Financial and commercial performance data
    
  • Employee feedback and people signals
    
  • External signals such as competitor activity, market trends and public data
    
  
  
  
• Evaluate, select and justify the underlying technical infrastructure and tooling required to support this capability, balancing speed, scalability, cost and long‑term sustainability.
  
• Work with internal teams and external contractors to integrate data from SaaS systems (e.g. ATS, HRIS, CRM, finance tools).
  
• Ensure telemetry is reliable, well‑governed and sustainable as the business scales.
  

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• Partner with leadership and functional owners to define:
  
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  • Company‑wide KPIs and targets
    
  • Leading and lagging indicators
    
  • How metrics relate to each other across the business
    
  
  
  
• Establish shared metric definitions, ownership and governance.
  
• Ensure telemetry reflects how PhysicsX actually operates, not just what is easiest to measure.
  

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• Treat the consumption of telemetry as a product with real users.
  
• Decide how insights should be delivered based on audience and decision context:
  
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  • Dashboards for monitoring and review
    
  • Structured reporting for planning cycles
    
  • Conversational or agent‑based interfaces for leadership
    
  
  
  
• Evaluate and experiment with emerging AI‑native tools that make organisational performance and metrics accessible through agents and natural language, assessing when to build, buy or integrate.
  
• Optimise for decision‑making speed, clarity and relevance, not volume.
  

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• Build telemetry that supports increasingly ambitious automation – with and without LLMs.
  
• Help define how PhysicsX uses AI to scale:
  
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  • Reducing repetitive work
    
  • Increasing leverage of existing teams
    
  • Creating space for higher‑value problem solving
    
  
  
  
• Evaluate and experiment with emerging agentic platforms designed to automate internal processes and accelerate our scaling journey.
  
• Define how the success of automation is measured, ensuring it contributes meaningfully to growth and scale.
  

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• Work closely with Delivery, Product, Research and Operations to:
  
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  • Identify gaps in measurement and instrumentation
    
  • Improve data quality and signal coverage
    
  • Replace manual or ad‑hoc processes with repeatable systems
    
  
  
  
• Report to leadership on performance, trends, risks and learning.
  
• Use telemetry to inform strategic decisions – not just describe outcomes.
  

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• Experience building end‑to‑end data or telemetry systems in roles such as:
  
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  • Data Engineer
    
  • Analytics Engineer
    
  • Business Intelligence Engineer
    
  • Platform or Internal Tools Engineer
    
  
  
  
• Strong SQL skills and experience with cloud data platforms (e.g. BigQuery, Redshift, Snowflake, Postgres).
  
• Hands‑on experience ingesting data via APIs and integrating SaaS systems.
  
• Experience designing semantic layers, metric models or business‑facing abstractions.
  
• Ability to translate company strategy and operational reality into measurable systems.
  
• A systems mindset: you build for scale, durability and change.
  
• Comfort working with senior technical and non‑technical stakeholders.
  

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• Experience with major data ecosystem stacks (e.g. AWS, Google Cloud, Azure).
  
• Familiarity with ETL/ELT tools (e.g. Airbyte, Fivetran, dbt, Dataform).
  
• Experience working with unstructured data, vector search or retrieval‑augmented systems.
  
• Exposure to internal tooling, automation platforms or agent‑based systems.
  
• Strong interest in AI‑enabled automation and the future of work.
  
• Experience in high‑growth or deep‑tech environments.
  

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• This role is based in our London office, with an expectation of being in the office at least three days per week.
  
• Occasional travel to other PhysicsX locations may be required.
  

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• Equity options – share in our success and growth.
  
• 10% employer pension contribution – invest in your future.
  
• Free office lunches – great food to fuel your workdays.
  
• Flexible working – balance your work and life in a way that works for you.
  
• Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility.
  
• Enhanced parental leave – support for life’s biggest milestones.
  
• Private healthcare – comprehensive coverage.
  
• Personal development – access learning and training to help you grow.
  

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally under‑represented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.