Data Engineering Jobs in Manchester

A thriving tech hub with a strong focus on data infrastructure. Home to a diverse range of companies and a growing data engineering community.

Open roles
23
Salary range
£45k – £104k
Hiring companies
15

Manchester has emerged as a key player in the UK's tech landscape, particularly in the realm of data engineering. The city is home to a variety of scaleups, research-heavy startups, and larger consultancies that are actively building and maintaining robust data infrastructure. From data pipelines and ETL processes to data warehousing and big data processing, the work here is diverse and challenging. Many roles in Manchester are hybrid, offering the flexibility of remote work while still fostering a strong local community.

Salary on the board

£45k – £104k

Based on advertised midpoints across the 23 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
92% of listings advertise a salary.
By seniority
£k base
Senior
49
109
9 jobs
Live jobs

23 live roles

See all 23 roles →

Senior DevOps Engineer

This role involves managing and enhancing a large-scale AWS environment, focusing on infrastructure as code, automation, and cloud optimisation. The engineer will design and implement cloud solutions to support platform scalability and reliability, working closely with modern DevOps practices. Key activities include infrastructure provisioning, performance tuning, and supporting CI/CD pipelines in a fully remote setup.

Candour Manchester, United Kingdom £50,000 – £65,000 pa
Remote Permanent

Senior Quantexa Data Engineer - Manchester

Design and implement data pipelines using Quantexa, Spark, and Databricks, with responsibility for configuring Quantexa components and supporting client projects. Work within a hybrid environment, contributing to technical leadership and client solution delivery using modern data engineering practices and cloud-based technologies.

Noir Manchester, United Kingdom £60,000 – £75,000 pa
Hybrid Permanent

Data Engineer

This role involves designing and building scalable data pipelines and dimensional models within modern cloud data platforms. You'll work on greenfield projects using tools like Snowflake or BigQuery, write complex SQL for data transformation, and collaborate with stakeholders to support analytics use cases. The position offers full lifecycle ownership in a remote-first, autonomous engineering environment.

Harnham - Data and Analytics Recruitment Manchester, United Kingdom £45,000 – £60,000 pa
Remote Permanent

Senior Data Engineer (AWS) - Manchester

This role involves designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will spearhead the evolution of the company's data infrastructure, develop real-time data solutions, and provide technical guidance to junior team members.

Noir Manchester, United Kingdom £60,000 – £80,000 pa
On-site Permanent

Data Engineer

This role involves designing and building scalable data pipelines, developing AI and ML solutions, and integrating data from multiple sources. You'll work on large-scale transformation projects, collaborate with cross-functional teams, and ensure data quality and governance.

Tenth Revolution Group Manchester, United Kingdom £40,000 – £55,000 pa

Data Architect

The Data Architect role involves designing and delivering modern Azure-based data solutions, leading the development of scalable and secure data platforms, and collaborating with business and technical stakeholders. You will shape end-to-end data architectures, define data models and pipelines, and support pre-sales activities, working in a fast-growing data consultancy environment.

Tenth Revolution Group Manchester, United Kingdom £100,000 – £125,000 pa
Hybrid Permanent

Principal AI Engineer

Lead the technical direction of agentic AI systems on the Maia team, designing and building scalable data engineering tools and integrations. Mentor engineers, collaborate with product and data science teams, and drive innovation in generative AI workflows. Work in a fast-paced environment focused on shaping the future of data productivity through cutting-edge technology.

Matillion Manchester, United Kingdom
Hybrid Permanent

Senior Product Manager

This role involves shaping the product strategy for Matillion's Data Productivity Cloud, focusing on translating complex customer and market needs into actionable technical roadmaps. The Senior Product Manager will act as a bridge between engineering and go-to-market teams, ensuring solutions address real-world data engineering challenges. A strong emphasis is placed on simplifying advanced data architecture concepts and driving innovation with AI-powered tools like Maia.

Matillion Manchester, United Kingdom £70,000 – £105,000 pa
Hybrid Permanent
Roles hiring here

Roles hiring in Manchester

The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.

The scene

Hiring in Manchester

Manchester's tech ecosystem is rapidly expanding, with a particular focus on data engineering. Companies here are investing heavily in building and maintaining robust data infrastructure to support their growth and innovation.

The city's strong community of data engineers benefits from a collaborative environment, with regular meetups and networking events. This fosters a culture of continuous learning and professional development.

Whether you're a seasoned professional or just starting your career, Manchester offers a wealth of opportunities in data engineering. The blend of established companies and emerging startups ensures a dynamic and exciting job market.

FAQs

Common questions

  • Manchester is home to a mix of scaleups, research-heavy startups, and larger consultancies. Each offers unique opportunities and challenges in data engineering.

  • Yes, the market is competitive, but there is a growing demand for skilled data engineers. Companies are actively seeking talent to build and maintain their data infrastructure.

  • Many roles in Manchester offer a hybrid work model, combining the benefits of on-site collaboration with the flexibility of remote work. This setup supports both productivity and work-life balance.

  • Common tools include Apache Kafka, Apache Spark, AWS Redshift, and Snowflake. Companies often use a combination of these to build and manage their data infrastructure.

  • Salary ranges can vary based on experience and company size. For more detailed salary information, please refer to the salary section on this page.

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