Senior Data Engineer

Vanrath
Belfast, Northern Ireland
Last month
Applications closed

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Senior Data Engineer Join a global leader at the forefront of financial markets-this organisation boasts a rich history of connecting clients to vital liquidity and data solutions across the world. As a trusted provider of market infrastructure, they enable secure, innovative, and responsible trading and data services that empower the industry's future. About your next employer This organisation is a world-renowned provider of market infrastructure, serving as the largest interdealer broker globally and a leader in Energy & Commodities brokerage, OTC data, and trading platforms. About you Proven experience in data engineering and data operations within financial services Strong proficiency in Python or Java, SQL, and data pipeline frameworks such as Airflow, dbt, or Spark Hands-on experience with AWS services including Lambda, S3, DynamoDB, Glue, and infrastructure-as-code tools like Terraform or CDK Knowledge of data governance, compliance regulations, and security best practices in financial ecosystems Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders Familiarity with streaming technologies like Kafka or Kinesis What you'll do Design, build, and optimise end-to-end data pipelines to support surveillance and compliance systems Implement automated data quality checks, validation, and reconciliation processes, ensuring data accuracy and completeness Develop AWS infrastructure using Terraform or CDK to enhance scalability and reliability Monitor and troubleshoot data anomalies, collaborating with analysts, developers, and business units to resolve issues swiftly Establish data management frameworks aligned with regulatory and security standards Partner with stakeholders to translate business rules into robust technical solutions, fostering continuous improvement and technological innovation Salary & Benefits Competitive salary package Generous holiday allowance Comprehensive health and wellness benefits Opportunities for professional development and certification support Dynamic and collaborative global work environment For further information on this job, apply via the link or contact the VANRATH office for a confidential chat today. Follow VANRATH on LinkedIn for expert career advice, the latest jobs, industry news and much more Skills: aws python fintech data

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Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown 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 data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.