National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Engineer

Tower, Greater London
5 days ago
Create job alert

Lead Data Engineer – Up to £85,000 + Bonus – Financial Services – London

Overview:
We are currently partnered with a market-leading financial services organisation who are seeking an experienced Lead Data Engineer to join their team and deliver their business-wide data strategy. You will define how data is governed, integrated and scaled across the business, whilst also building and optimising the ETL pipelines which power our analytics and reporting.

As the business embarks on a major modernisation of its data infrastructure, this is a unique opportunity to shape the future data strategy and lead the transformation of the entire data platform.

Role & Responsibilities:

Lead the data engineering function and define the organisation’s data architecture and governance strategy
Design and implement scalable ETL pipelines and modern workflow orchestration
Drive the selection and deployment of a new data tech stack as part of a wider platform modernisation
Collaborate with stakeholders across research, finance, CRM, and commercial teams to support analytics and decision-making
Ensure data quality, documentation, access controls, and CI/CD best practices are in place
Provide technical oversight for database management, version control, and Python-based analytics pipelinesEssential Skills & Experience:

Minimum 5 years of experience in a Data Engineering role or equivalent
Strong Python and SQL proficiency
Proven experience with a modern data warehousing solution (e.g. Snowflake, Azure Data Factory)
Experience with modern Python-based orchestration tools (e.g. Prefect)
Familiarity with Git-based development workflows and CI/CD pipelinesPackage:

Salary up to £85,000 (depending on experience)
Discretionary bonus
Hybrid (London)
Comprehensive benefits packageLead Data Engineer – Up to £85,000 + Bonus – Financial Services – London

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.