Data Engineer

About Us

Physics

X 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, Physics

X 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  a Data Engineer
, you will build and operate the technical foundations that allow Physics

X 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 Physics

X’s single, trusted view of organisational performance, enabling leadership to move faster with confidence.

• 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

• Design and implement scalable telemetry infrastructure to capture and manage:
  • 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.

• Partner with leadership and functional owners to define:
  • 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 Physics
  
  X actually operates, not just what is easiest to measure.

• Treat the consumption of telemetry as a product with real users.
• Decide how insights should be delivered based on audience and decision context:
  • 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.

• Build telemetry that supports increasingly ambitious automation – with and without LLMs.
• Help define how Physics
  
  X uses AI to scale:
  • 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.

• Work closely with Delivery, Product,…