Lead Data Engineer

Experian
Nottingham
5 days ago
Create job alert

Job Description

We are looking for a Lead Engineer to join our Ascend Cloud Foundation Platform team.

We unlock the power of data to create opportunities for consumers, businesses and society. At life's big moments – from buying a home or car, to sending a child to university, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage their data with confidence so they can maximize every opportunity.

Reporting into our Senior Client Delivery Manager, you will to join an established agile technical team, with a passion to lead an outstanding technical team that supports innovation, learning and collaboration. Ensure that the team follows the highest technical standards. Support Agile methods to deliver high value outcomes.

Main responsibilities:

  • Lead an outstanding Agile technical team
  • Deliver quality software
  • Collaborate with the risk, security and compliance teams to ensure adherence to regulatory requirements (e.g., GDPR, PCI DSS) and industry standards related to data privacy and security
  • Understand where there are overlapping technical requirements in your team and other teams and help build out technology roadmaps
  • Codebase ownership
  • Technical Application ownership

Required skills/ experience:

  • Experience of the full development lifecycle
  • Ability to explain solutions to technical and non-technical audiences
  • Write clean, scalable and re-usable code that implements SOLID principles, common design patterns where applicable and adheres to published coding standards
  • Ability to analyse, investigate and compare large data sets when required.
  • Significant experience of programming using Scala and Python
  • Experience of using Terraform to provision and deploy cloud services and components
  • Experience of developing on Apache Spark
  • Experience of developing with AWS cloud services including (but not limited to) AWS Glue, S3, Step Functions, Lambdas, EventBridge and SQS
  • BDD / TDD experience
  • Jenkins CI / CD experience
  • Application Lifecycle Management Tools - BitBucket & Jira
  • Remain up to date with the terminology, concepts and best practices


Qualifications

 

  • Qualified to Degree/or data engineering discipline or can demonstrate commercial experience



Additional Information

Benefits package includes:

  • Hybrid working
  • Great compensation package and discretionary bonus
  • Core benefits include pension, bupa healthcare, sharesave scheme and more
  • 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Databricks

Lead/Senior Data Engineer

Lead Data Engineer (Back End)

Lead Data Engineer

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 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.