Senior Data Engineer

Ocho
Belfast, Northern Ireland
Last month
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
19 Mar 2026 (Last month)

Job description. Senior Data Engineer Location: Belfast (Hybrid) Eligibility: UK work authorisation required This is a standout opportunity for a senior data engineer to take ownership of a company's data platform from the ground up. You'll be the first dedicated data hire, shaping how data is designed, built and used across the organisation, with clear scope to grow into a future Head of Data role as the platform and team scale. You'll sit at the intersection of data engineering, analytics and application architecture, influencing decisions early and building foundations that will support high-volume, business-critical data use cases. Why join? * Greenfield data platform with real architectural ownership * Senior IC role with clear progression and influence * Hybrid working with a strong engineering culture * Exposure to high-scale, event-driven and IoT-style data * Competitive package, benefits and learning support What you'll be doing: * Designing and owning the analytics and data platform strategy * Building scalable, reliable data pipelines across batch and streaming use cases * Defining high-quality analytical models and sources of truth * Advising product and engineering teams on data modelling and event design * Optimising data platforms for performance, cost and scale * Establishing governance, data quality and security best practices * Acting as the go-to data subject matter expert across the business What you'll bring: * Significant experience in data engineering or data platform roles * Strong AWS experience (e.g. S3, Lambda, Glue, Kinesis) * Expert SQL and solid Python skills * Hands-on experience with modern data warehouses * Experience with orchestration tools Interested? Get in touch with Justin Donaldson to learn more or apply. Skills: Python SQL AWS data engineer

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.