Senior Data Engineer

Gravitas Recruitment
Manchester, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Data Engineer, Core Experimentation

OpenAI United Kingdom
£293,000 – £325,000 pa Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior Data Scientist

Adria Solutions Manchester, United Kingdom
Permanent

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote
Posted
31 Jan 2026 (3 months ago)
Overview

We are seeking an experienced and highly skilled Senior Data Engineer to join our client's team in Greater Manchester. This is an exciting opportunity to play a pivotal role in the design, development and optimisation of cloud-based and on-premise data systems, ensuring robust, scalable and secure data platforms that support our organisation’s strategic technology goals.

Job Title: Senior Data Engineer

Contract: Permanent

Salary: Up to £70,000 per annum + bonus

Location: Hybrid, Greater Manchester

Key Responsibilities
  • Design, develop and maintain scalable and secure data platforms in cloud and hybrid environments.
  • Support and optimise existing on-premise and cloud-based databases (e.g. SQL Server, PostgreSQL, MySQL, Oracle).
  • Collaborate with stakeholders to define data architecture and engineering standards.
  • Implement data integration and ETL/ELT pipelines using tools and languages such as Azure Data Factory, SSIS, Python or Apache Spark.
  • Ensure data governance, security and compliance within all systems.
  • Monitor performance and carry out tuning for high availability and disaster recovery.
  • Provide mentorship and technical guidance to junior engineers.
Requirements
  • Strong knowledge of database technologies, data modelling, and cloud infrastructure (especially Azure or AWS).
  • Solid hands-on experience with T-SQL, Python and SQL scripting.
  • Familiarity with infrastructure as code (e.g. Terraform, ARM templates).
  • Experience with DevOps practices and CI/CD pipelines.
  • Excellent problem-solving, analytical and communication skills.
  • Relevant certifications in cloud platforms or databases (e.g., Microsoft Azure Data Engineer, AWS Certified Data Analytics) are desirable.
  • Bachelor’s degree in Computer Science, Information Systems or a related discipline, or equivalent professional experience.

Interviews are taking place this week, so if you're interested, please apply today and we’ll be in touch shortly.

Alternatively, feel free to reach out to Josh Wolstenholme directly on LinkedIn for a confidential conversation.


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.