Senior Data Engineer

Fraser & Co. Talent Partners Limited
Clerkenwell, EC1R 0EA, United Kingdom
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior Data Scientist

Adria Solutions Manchester, United Kingdom

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Fullstack Engineer - Data Enrichment

Wayve London, United Kingdom

Senior Data Scientist

PhysicsX United Kingdom
Posted
4 Apr 2026 (3 weeks ago)

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

*

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

*

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

*

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

*

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

*

Implement robust data quality checks, validation, and reconciliation processes

*

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

Required Experience

*

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

*

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

*

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

*

Experience delivering financial data projects

*

Advanced SQL skills

*

Strong understanding of data modelling and data warehousing concepts

*

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

Key Skills

*

Data modelling, ETL development, Big Data

*

Python, Java, or similar programming languages

*

AWS

*

SQL & data modelling

*

Kafka, Kinesis, or Pulsar

*

Terraform and AWS infrastructure tooling

What’s on Offer

*

Fully remote working

*

Excellent benefits package

*

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

*

Modern tech stack and strong engineering culture

Please apply for this excellent role with latest CV

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

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

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. 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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.