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

Nominate & Attend

Risk Reporting Data Engineering Lead

Coleman Street
1 week ago
Create job alert

Risk Reporting Data Engineering Lead
Central London / Hybrid
Financial Risk Data / Data Analytics / International Banking
Base salary: c. £135k + bonus + comprehensive bens.

As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing, mining, BI, and reporting.

Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data, and a drive to architect impactful risk management solutions.

Main Purpose
Lead and develop a high-performing team of 10-15 Engineers delivering robust, scalable risk reporting solutions globally.

Key Responsibilities

Mentor an international team focused on risk data ingestion, transformation, and reporting.
Act as SME in database and reporting solutions, working with Risk stakeholders to meet business needs.
Design innovative, fault-tolerant systems for large-scale data management.
Stay updated on data and risk tech trends, shaping architectural strategy.
Manage risk reporting projects from enhancements to large-scale transformations.
Ensure best practices through code reviews, automated testing, and DevOps to enhance system resilience.
Key Skills & Experience

Proven leadership in data engineering or analytics.
Advanced SQL skills,
Experience in risk management (Market, Credit, Regulatory).
Familiarity with risk measures: VAR, CE/PE, PFE.
Success in managing multi-terabyte data warehouses.
Skilled in data warehousing, ETL/ELT, and reporting tools.
Scripting skills (Python, PowerShell).
Knowledge of applications, data governance, and cybersecurity.-
Preferred:
Experience with data modelling tools like dbt.
Knowledge of orchestration tools and Agile/DevOps practices.Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform Lead | Data Transformation | Financial Institution | International Data Team | Data Platform Architecture

Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy

Related Jobs

View all jobs

Enterprise Risk & Controls Manager

Risk Reporting & Analytics Team Lead

Head Of Risk

Data and Planning Manager (Asset Management)

Data and B.I. Lead

Head of Data Governance

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 Engineering Jobs Skills Radar 2026: Emerging Frameworks, Tools & Technologies to Learn Now

Data is the new oil—and data engineers are the pipeline builders. In 2026, UK companies aren’t just collecting data—they’re streaming it, transforming it in real-time, and deploying it into AI and BI tools for instant decision-making. But all of this depends on one thing: highly skilled data engineers with a mastery of modern tools and frameworks. Welcome to the Data Engineering Jobs Skills Radar 2026—your annual guide to the languages, platforms, and tools that are defining the future of data engineering jobs in the UK. Whether you're building data lakes, deploying pipelines, or scaling real-time analytics, this guide will keep your skills up to date with what employers really want.

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

As UK organisations continue to scale their data capabilities, the role of the data engineer has become one of the most vital in the digital economy. From designing pipelines and managing infrastructure to enabling machine learning models, data engineers are the backbone of every data-driven organisation. But while demand is high, the most rewarding roles are often never posted publicly. In this article, we’ll show you how to discover hidden data engineering jobs in the UK by strategically engaging with professional bodies like the BCS, IET, TechUK, and UK data communities. By joining specialist groups, attending CPD events, and using member directories, you can unlock a wave of unseen job leads—and connect with hiring managers long before roles are advertised.

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

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.