Senior Data Engineer

Loop Recruitment; Greater Manchester; On-site; GBP 80,000 - 120,000; Full time

Job summary

Loop Recruitment is seeking a Senior Data Engineer in Greater Manchester to design and build scalable cloud-native data platforms. The role involves strategic architecture decisions and creating AI-ready datasets. Ideal candidates will have extensive experience in SQL, Python, and AWS.

Join a collaborative engineering-led culture focused on modern Data Engineering and context systems. Enjoy high autonomy, complex architectural challenges, and the opportunity to shape how AI integrates into a global technology business.

Qualifications

• Strong experience as a Senior / Lead Data Engineer in modern cloud environments.
• Deep SQL and Python expertise.
• Strong architecture and systems design capability.

Responsibilities

• Designing and building scalable cloud-native data platforms and pipelines.
• Owning architecture decisions across data warehousing and governance.
• Building AI-ready datasets and contextual data models.

Skills

Senior / Lead Data Engineer

SQL

Python

AWS

Data Warehousing

Context Engineering

AI/ML

Tools

dbt

Glue

Redshift

Spark

Job description

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.