At a Glance
- Tasks: Lead an Agile team to build data pipelines and ensure high-quality software delivery.
- Company: Join Experian, a multi-award-winning company with a people-first culture.
- Benefits: Enjoy a competitive salary, bonus plan, healthcare, and generous leave options.
- Other info: Hybrid role with excellent career growth opportunities and a focus on innovation.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technology.
- Qualifications: Strong experience in DevOps, AWS, and programming with Scala or Python required.
The predicted salary is between 63000 - 77000 £ per year.
Experian Credit Services & Verifications are looking for a Lead Data Platform Engineer to join our Ascend Cloud Foundation Platform team for a 6 month fixed-term contract. 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
Qualifications:
- 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
Additional Information:
- 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.
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. Experian is also proud to be an Equal Opportunity and Aff'd Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Lead Data Platform Engineer -6 Month Secondment in England employer: Experian
Experian is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals looking to make a significant impact in the field of engineering. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to lead cutting-edge projects in AI and cloud technologies. Located in a dynamic environment, Experian offers competitive benefits and a supportive atmosphere that encourages work-life balance and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer -6 Month Secondment in England
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Experian before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Experian.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Experian.
We think you need these skills to ace Lead Data Platform Engineer -6 Month Secondment in England
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Experian, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Experian, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Experian’s attention and show the tangible impact of your work.
How to prepare for a job interview at Experian
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Experian.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Experian.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Experian.
