At a Glance
- Tasks: Lead data strategy and build a modern data ecosystem in a fast-paced FinTech.
- Company: Join a rapidly growing FinTech scale-up with a clear vision for growth.
- Benefits: Enjoy a competitive salary, bonus, equity, and fully remote work flexibility.
- Other info: Collaborate with diverse teams and drive smarter decision-making in a dynamic environment.
- Why this job: Shape customer strategy and make a real impact on the financial services landscape.
- Qualifications: Experience in data engineering and a passion for innovative data solutions.
The predicted salary is between 90000 - 100000 £ per year.
Xpertise Recruitment is working with a fast-growing FinTech scale-up that’s on a mission to transform the financial services landscape. As they scale, they’re looking for a Lead Data Engineer to take complete ownership of the company’s data strategy, platform, and roadmap. This is a fully remote position – but you must be based in the UK.
Why should you want to join?
- Be the go-to data expert and build a modern data ecosystem from the ground up.
- Work in a high-impact, commercially driven environment where your insights will directly shape customer strategy and acquisition.
- Own everything from data architecture to engineering, insight, and governance.
- Collaborate with stakeholders across marketing, product, and risk to drive smarter decision-making.
- Join a forward-thinking FinTech with strong funding, real momentum, and a clear vision for growth.
- Enjoy excellent benefits including equity, bonus, and remote-first flexibility.
- Competitive salary of up to £100k plus bonus and equity.
What will you be doing?
- Leading on data strategy, ensuring scalability, governance, and cost-efficiency.
- Designing and building ELT/ETL pipelines, optimising a cloud-based data platform (AWS).
- Creating data models and infrastructure to support segmentation, predictive modelling, and reporting.
- Enhancing stakeholder access to insights via Looker and other BI tools.
- Driving performance optimisation across the entire data estate.
For more information, job specs or an initial conversation, please apply with an updated CV.
Remote Lead Data Engineer in Worthing employer: Xpertise Recruitment Ltd
Join a dynamic FinTech scale-up that prioritises innovation and employee growth, offering a fully remote work environment for UK-based professionals. As a Lead Data Engineer, you'll have the opportunity to shape the company's data strategy while enjoying competitive benefits, including equity and bonuses, in a culture that values collaboration and forward-thinking. This is your chance to make a significant impact in a rapidly evolving industry with a clear vision for the future.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Lead Data Engineer in Worthing
✨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 Xpertise Recruitment Ltd!
✨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 Remote Lead Data Engineer at Xpertise Recruitment Ltd.
✨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 Xpertise Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Lead Data Engineer at Xpertise Recruitment Ltd, 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!
We think you need these skills to ace Remote Lead Data Engineer in Worthing
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 Xpertise Recruitment Ltd, 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 Xpertise Recruitment Ltd. 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 Xpertise Recruitment Ltd
✨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 Xpertise Recruitment Ltd!
✨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.
