Up to £120K + Equity + Strong Benefits
TECH: AWS | Python | SQL | dbt | Spark | Redshift | Data Warehousing | AI/LLM Context Engineering
We’re partnered with a highly respected, engineering‑led technology SAAS business building products used by hundreds of thousands of technical professionals globally.
They’re now investing heavily in the next evolution of their data platform - moving beyond traditional reporting pipelines and into AI-ready data systems, context engineering, and decision intelligence.
This is a senior, architecture-focused Data Engineering role with a huge amount of autonomy and influence.
The Opportunity
- This isn’t a “keep the lights on” Data Engineering role.
- You’ll help shape the future state of how data is structured, governed and consumed across the business - designing scalable systems that support analytics, operational decision‑making and AI‑driven use cases.
- A major focus of the role is building clean, contextualised, well‑structured data foundations that can power LLMs, internal AI tooling and agentic workflows.
- You’ll operate as a senior technical voice within a growing Context Engineering function, partnering closely with stakeholders across Finance, People and Technology domains.
- The environment is highly collaborative but gives Engineers genuine ownership over architecture, tooling and delivery decisions.
What You’ll Be Doing
- Designing and building scalable cloud‑native data platforms and pipelines
- Owning architecture decisions across data warehousing, governance and semantic structures
- Building AI‑ready datasets and contextual data models for LLM consumption
- Working closely with stakeholders to translate business problems into technical solutions
- Driving best practices around testing, CI/CD, observability and data quality
- Helping define long‑term data roadmaps and end‑state architecture
- Partnering with analysts and engineers across multiple business domains
- Contributing to a strong feedback and high‑performance engineering culture
What They’re Looking For
- Strong experience as a Senior / Lead Data Engineer in modern cloud environments
- Deep SQL and Python expertise
- Strong architecture and systems design capabilityExperience building scalable AWS‑based data platforms
- Strong understanding of data warehousing, governance and semantic modelling
- Comfortable communicating technical concepts to non‑technical stakeholders
- Experience working closely with business functions rather than purely isolated engineering teams
- Interest in AI, LLMs, context engineering or agentic systems
- Ideally experience within product‑led or SaaS technology businesses
Bonus Points
- Experience supporting Finance, People or Technology business domains
- Exposure to reverse ETL tooling
- Experience building data foundations for AI/ML use cases
- Knowledge of GDPR / ISO27001 environments
- Experience with dbt, Glue, Redshift or Spark
Why Join?
- High autonomy and ownership
- Engineering‑led culture with strong technical standards
- Complex greenfield architecture challenges
- Real investment into AI and data maturity
- Opportunity to shape how AI is embedded into a global technology business
- Collaborative onsite environment with highly engaged technical teams
If you’re excited by modern Data Engineering, AI context systems and building scalable platforms properly from the ground up - happy to chat.