Data Engineer

Opus Recruitment Solutions
London, United Kingdom
3 months ago
Applications closed

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Data Engineer | Outside IR35 | £450 - £500 | 6 months | Hybrid London

We’re supporting a company who are looking for a Data Engineer to build and enhance the data processing capabilities within their Databricks environment. You’ll be responsible for developing the code that drives their data pipelines, using Python, Spark, and Databricks Workflows to deliver new platform functionality and ensure efficient execution.

Key Responsibilities
Develop reliable Python and PySpark code to support data ingestion, transformation, and end‑to‑end processing.
Deliver new technical features and components aligned to approved solution designs and business requirements.
Enhance, extend, and tune existing data frameworks to support additional use cases and improved performance.
Create, manage, and optimise Databricks Workflows, including orchestration logic and operational behaviours.
Carry out testing, performance tuning, and provide day‑to‑day operational support for data pipelines.
Work closely with Solution Designers / Architects and Configuration Analysts to ensure consistent and effective delivery.
If this is a role that suits your skillset, can work onsite 2 days per month and immediately available then please apply for the job advert directly or reach out to myself at (url removed).

Data Engineer | Outside IR35 | £450 - £500 | 6 months | Hybrid London

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.