Loop Recruitment
Senior Data Engineer
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Senior Data Engineer | AI & Data Platform | Tier 1 SAAS
đź“Ť Cheshire (Onsite)
đź’° Up to ÂŁ130K + 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.
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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 capability
- Experience 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
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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.
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