Lead Data Platform Engineer
AI in this role
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Internal Grade D/EB8
Experian Credit Services & Verifications are looking for a Lead Data Platform Engineer to join our Ascend Cloud Foundation Platform team.
Reporting into our Engineering Director, you will join an established agile team, with a passion and lead a 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.
This is a Hybrid, Nottingham based role (40% in the office).
Main responsibilities:
- Lead an outstanding Agile technical team
- Build data pipelines and data lake
- 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
- Strong experience with DevOps & IaC tooling - Terraform, CI/CD pipelines, Git, Jenkins , Harness
- Strong experience of developing on Apache Spark/Hadoop
- Strong experience with AWS cloud services including AWS Glue, S3, Step
- Strong experience building data pipelines and data lake
- Experience of the full development lifecycle/application Lifecycle Management Tools - BitBucket & Jira
- Significant experience of programming using Scala or Python. Configuration as code principles and API integration
- Write clean, scalable and re-usable code that implements SOLID principles, common design patterns where applicable and adheres to published coding standards
- Experience analyse, investigate and compare large data sets when required
- Functions, Lambdas, EventBridge, SQS and Lake formation
- Experience with automated testing methodologies
Benefits package includes:
- Great compensation package and discretionary bonus plan
- 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.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. 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
How we rate this
Lead Data Platform Engineer at Experian rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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