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

Nominate & Attend

Lead Data Engineer

James Adams
London
3 days ago
Create job alert

Are you an experienced data engineer passionate about leading innovative projects and building impactful data solutions? A prominent organisation in the financial information services sector is seeking aLead Data Engineerto join their team in Manchester. This permanent role offers a competitive salary of £90,000 - £120,000, a 15% bonus, and a comprehensive benefits package.


About the Role

As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve strategic goals. This hybrid position requires on-site presence three days per week.


Key Responsibilities

  • Lead the design, development, and implementation of ETL pipelines and data integration solutions.
  • This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role.
  • Manage and deliver large-scale, data-driven projects, ensuring efficiency, quality, and scalability.
  • Develop and oversee data architectures, ensuring the seamless integration of structured and unstructured data sources.
  • Utilize Talend, Python, and No-SQL technologies to design and optimize data solutions.
  • Partner with stakeholders to understand data requirements and translate them into actionable deliverables.
  • Mentor and lead a team of engineers, fostering a culture of innovation and collaboration.
  • Drive best practices for data engineering, ensuring quality and operational excellence.
  • Collaborate with Agile teams to deliver high-impact projects aligned with business priorities.


Your Background

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 10+ years of experience in data engineering, with at least 5 years in a leadership role.
  • Strong expertise in ETL tools such as Talend and programming with Python.
  • Proven experience working with No-SQL databases and diverse data products.
  • Knowledge of data migrations, real-time data processing, and relational database design.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and microservices architecture.


What Will Set You Apart

  • Knowledge of DevOps tools and practices (e.g., Docker, Kubernetes).
  • Experience with Kafka for real-time data streaming.
  • Financial Services industry experience is advantageous but not essential.
  • Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
  • A commitment to fostering an inclusive and collaborative work environment.


What’s on Offer

  • A high-impact, high-visibility role in a global leader of financial information services.
  • Opportunities for career growth and professional development.
  • A supportive, diverse, and inclusive company culture that values your voice.
  • Competitive salary, bonus, and a strong benefits package.


Location & Working Arrangement

This role is based in Manchester, with a hybrid working model requiring on-site presence three days a week.


Take the lead in driving impactful data engineering projects with an organization committed to innovation and diversity. Apply now to become part of a dynamic team delivering data-driven solutions at scale.

Related Jobs

View all jobs

Lead Data Engineer

Lead/Senior Data Engineer

Lead Data Engineer, Home Based

Lead Data Engineer, Home Based

Lead Data Engineer, Home Based

Lead Data Engineer

National AI Awards 2025

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.