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

Nominate & Attend

Front Office Developer (SQL)

London
1 week ago
Create job alert

Are you a SQL Server expert with a passion for data architecture and engineering in the fast-paced world of finance?

We're looking for a Front Office Data Engineer / Data Architect to join a high-performing team at the heart of a leading financial institution.

The Role:

You'll be embedded within the Front Office Technology Team, reporting directly to the team lead and collaborating closely with four other talented data engineers. This is a hybrid role, offering the flexibility of remote work combined with the energy of on-site collaboration.

What You'll Be Doing:

Designing, developing, and maintaining robust data pipelines and architectures
Working with modern Microsoft SQL Server (2016 or later) in an on-prem environment
Supporting front office operations with real-time, high-quality data solutions
Leveraging tools like Azure Data Factory, Microsoft Python, and Azure Fabric (if you have them!)What We're Looking For:

Strong experience with Microsoft SQL Server (2016+) - this is a must-have
Solid background in data engineering or data architecture within a financial services environment
Familiarity with Azure Data Factory, Microsoft Python, or Azure Fabric is a big plus
Excellent communication skills and a collaborative mindsetWhat's in It for You:

Competitive salary up to £100,000
Hybrid working model with a central London base
Work directly with front office teams on high-impact projects
Join a supportive, expert team in a dynamic and rewarding environmentReady to bring your SQL expertise to the front lines of finance? Apply now and be part of a team that's shaping the future of data in the financial sector

Related Jobs

View all jobs

Data Engineer – HFT – London

Quantitative Developer - Equities

Quantitative Developer (AI)

Front Office Equity/FX Quantitative Analyst

Quantitative Developer - Risk & Portfolio Analytics | London- Leading Global Hedge Fund

Quantitative Developer – Risk & Portfolio Analytics | London

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.