Senior Data Engineer

Fraser & Co. Talent Partners Limited
Clerkenwell, EC1R 0EA, United Kingdom
Last month
Applications closed

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Senior Data Engineer – Leading FinTech | City of London | Remote

Our client, a market‑leading FinTech based in the City of London, is looking to hire a Senior Data Engineer to support major global financial projects. You’ll work closely with senior engineering leadership, data specialists, and cross‑functional stakeholders to deliver high‑impact data solutions across the business.

This is a highly collaborative role with the opportunity to shape data architecture, build modern pipelines, and contribute to large‑scale migration and regulatory data initiatives. The position offers full remote flexibility and an excellent benefits package.

Key Responsibilities

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Partner with engineers across multiple systems to understand data availability, structure, and dependencies

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Design and develop queries, scripts, and transformations to migrate data into new platforms

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Collaborate with solution architects to design migration‑day data processes for partner onboarding

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Build and maintain ETL pipelines and workflow automation using Snowflake and Apache Airflow

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Implement robust data quality checks, validation, and reconciliation processes

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Work closely with platform and infrastructure teams on security, access control, and secrets management

Required Experience

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4+ years’ experience in data engineering, analytics engineering, or backend engineering with strong ownership of data pipelines

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Proven experience working in stakeholder‑heavy, cross‑functional environments

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Strong communication skills, able to translate complex technical concepts to non‑technical audiences

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Experience delivering financial data projects

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Advanced SQL skills

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Strong understanding of data modelling and data warehousing concepts

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Experience with workflows, code reviews, and CI/CD practices

Key Skills

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Data modelling, ETL development, Big Data

*

Python, Java, or similar programming languages

*

AWS

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SQL & data modelling

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Kafka, Kinesis, or Pulsar

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Terraform and AWS infrastructure tooling

What’s on Offer

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Fully remote working

*

Excellent benefits package

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Opportunity to work on global, high‑impact financial data projects

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Modern tech stack and strong engineering culture

Please apply for this excellent role with latest CV

Industry Insights

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

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

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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 Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering 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 Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.