Senior Data Engineer

• 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

• 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, * 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

Up to £120K + Equity + Strong Benefits

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., * 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