Data Engineer - Manchester

Tenth Revolution Group
Manchester, United Kingdom
Last month
£45,000 – £51,000 pa
Applications closed

Related Jobs

View all jobs

Data Engineer

Adecco Manchester, United Kingdom
£31 – £34 ph Remote

Data Engineer

Experis London, City And County Of the City Of London, United Kingdom
£465 – £466 pd Remote

Data Engineer

Robert Walters Manchester, United Kingdom
£55,000 – £60,000 pa Hybrid

Data Engineer

Orbit Group Binley Woods, Warwickshire, United Kingdom
£43,760 – £54,697 pa On-site

Data Engineer

Datatech London, United Kingdom
£45,000 – £50,000 pa Permanent

Data Engineer

Pontoon Bristol, Bristol (county), United Kingdom
£600 – £650 pd

Salary

£45,000 – £51,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
8 May 2026 (Last month)

Benefits

Structured career development Training and progression opportunities

Data & AI Engineer - Hybrid role in Technology - Up to £51k

The Role

As a Data & AI Engineer, you'll design, build and maintain data pipelines, analytics platforms and AI-powered capabilities all linked to high-impact business use cases. You'll collaborate closely with analysts, engineers and stakeholders to turn requirements into reliable, production-ready solutions.

Key responsibilities:

  • Designing and building scalable data pipelines, datasets, and data models
  • Integrating data from multiple structured and unstructured sources
  • Developing advanced analytics, machine learning and AI solutions where appropriate
  • Building Generative AI solutions using large language models and prompt/context engineering
  • Ensuring data quality, reliability, and performance through testing and monitoring
  • Optimising data and model performance for scale and efficiency

Required Experience & Skills

  • Proven experience in a Data Engineer, Data Developer, AI Engineer, or similar role
  • Strong programming skills in Python and SQL
  • Experience building and maintaining data pipelines
  • Exposure to cloud data platforms, data warehouses, or big data technologies
  • Strong analytical and problem-solving skills
  • Ability to communicate technical concepts to non-technical stakeholders

Why Apply?

  • Work on high-impact, enterprise-scale data and AI initiatives
  • Gain exposure to a wide variety of industries and complex systems
  • Be part of a cooperative, inclusive engineering culture
  • Access structured career development, training and progression opportunities

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.