At a Glance
- Tasks: Lead an agile team to build data pipelines and lakes while delivering top-notch software.
- Company: Join Experian Credit Services & Verifications, a leader in data solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with risk and compliance teams in a dynamic environment.
- Why this job: Shape technology roadmaps and make a real impact in the data landscape.
- Qualifications: Experience with DevOps, Spark/Hadoop, and AWS is essential.
Experian Credit Services & Verifications is seeking a Lead Data Platform Engineer in Nottingham (Hybrid role with 40% office presence) to lead an agile technical team, build data pipelines and data lake, and deliver high-quality software. The role collaborates with risk, security and compliance teams to meet regulatory standards while shaping technology roadmaps and owning codebase and applications.
The ideal candidate will drive DevOps, Spark/Hadoop, and AWS-based data platforms.
Lead Data Platform Engineer — Cloud, Data Lakes & Pipelines in Nottingham employer: Experian
Experian is an exceptional employer that fosters a dynamic work culture in Nottingham, where innovation meets collaboration. With a strong emphasis on employee growth and development, you will have access to cutting-edge resources and a hybrid working model that promotes work-life balance. Join us to be part of a forward-thinking team that values your contributions and offers excellent benefits, making your career both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer — Cloud, Data Lakes & Pipelines in Nottingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Experian!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Platform Engineer — Cloud, Data Lakes & Pipelines at Experian.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Experian.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Platform Engineer — Cloud, Data Lakes & Pipelines at Experian, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Experian, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Experian. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Experian
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Experian!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
