At a Glance
- Tasks: Lead the design and build of a cutting-edge cloud data platform.
- Company: Established financial services company focused on consumer debt management.
- Benefits: Competitive salary, bonus, 25 days holiday, onsite gym, and wellness support.
- Other info: Flexible work-from-home options and opportunities for career growth.
- Why this job: Shape a new data platform and make a real impact in a growing team.
- Qualifications: Experience in data engineering, cloud infrastructure, and data ingestion pipelines.
The predicted salary is between 100000 - 120000 £ per year.
Do you have expertise with modern data platform engineering? You could be progressing your career in a hands-on technical leadership role at a well-established consumer-facing financial services company that helps people to manage debt, as they go through a technical transformation and scale-up following recent investment.
As a Data Platform Lead, you will be responsible for designing, building and owning the new cloud (AWS) hosted data platform from the ground up. You'll act as the design authority for data infrastructure, working closely with software engineering teams, the BI function and the Enterprise Architect to enable analytics, insight, AI and safe system transitions.
This is a hands-on leadership role where you will design the platform, build it, evolve it and make pragmatic decisions that deliver value early while supporting long-term scalability. You'll own and evolve data ingestion pipelines, including incremental migration from a legacy monolith and Oracle-based systems, dual-running and reconciliation during platform transition (12-24 month initiative) and be responsible for the ongoing ingestion from systems of record (e.g. Sage, HR systems, HubSpot) and partners with the ultimate aim of establishing a hub-and-spoke, single source of truth data architecture that supports both transition and long-term scale.
Location / WFH: You'll be based in fantastic new offices in London that offer a wide range of facilities including wellness rooms and onsite gym for three days a week with flexibility to work from home twice a week.
About you:
- You have experience as a Lead Data Engineer or Senior Data Engineer, with experience of designing and building data platforms end-to-end.
- You have deep hands-on experience with cloud-native data infrastructure, ideally on AWS using IaC.
- You have experience with Lakehouse and modern Data Warehouse patterns; AWS S3-based Lakehouse patterns, Athena / Redshift, Glue, EMR and related native services and Metabase for self-service analytics.
- You have experience of designing and operating data ingestion pipelines at scale (batch and streaming).
- You have experience of supporting system migrations and dual-running, including reconciliation and trust building.
- You have a strong understanding of data modelling for analytics.
- You have experience of enabling self-service analytics platforms (e.g. Metabase or similar).
- You've had exposure to AI-adjacent data work, including: preparing data for RAG or ML use cases and supporting streaming or near-real-time analytics.
- You're collaborative and pragmatic, comfortable working closely with Product Managers to explain technical aspects and trade-offs to shape delivery plans that balance speed, quality and risk.
What's in it for you:
- Salary to £120k
- Bonus
- 25 days holiday
- Pension
- Employee Assistance Programme
- Onsite gym and well-being champions
- X2 volunteering days per year
- Opportunity to make an impact as part of a new team in a role you can shape.
Data Platform Lead employer: Client Server Ltd.
Client Server Ltd. is an excellent employer, offering a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, the company provides ample opportunities for career progression and competitive compensation packages, including bonuses. Joining our team means being part of an innovative environment where your contributions to designing and optimising data platform components will be valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Lead
✨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 Client Server 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 Data Platform Lead at Client Server 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 Client Server Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Lead at Client Server 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 Data Platform Lead
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 Client Server 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 Client Server 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 Client Server 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 Client Server 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.
