At a Glance
- Tasks: Design and own core data models, build pipelines, and create a self-serve data platform.
- Company: Join Dex, a mission-driven tech company transforming how talent connects with opportunity.
- Benefits: Above-market salary, equity, private healthcare, wellness benefits, and a supportive work environment.
- Other info: Dynamic team culture with regular socials and opportunities for personal growth.
- Why this job: Be a founding member shaping the future of data in an AI-native company.
- Qualifications: Experience building data foundations, strong analytical skills, and a collaborative mindset.
The predicted salary is between 60000 - 80000 £ per year.
Our Mission
Human time and effort is the rarest thing in the universe. The fact that so many people hate what they do for work is a disaster on so many levels. Our mission is to close the gap between Talent & Opportunity. We believe that work, and being productive, is part of the human condition, that regardless of AI, human passion, ingenuity and a desire to do things means that work will always exist. We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive.
The Role
Dex runs on data. Our matching, our product decisions, our growth, our commercial bets all depend on understanding what's actually happening across the business. This is a founding role to own the data foundation of Dex end to end: the data models underneath everything, the pipelines that connect our systems, and the data platform that the whole company builds on top of. You'll own how data is modelled, how it flows between our systems, and how internal teams self-serve on top of it. As the first dedicated data hire, you'll set the standards and build the function out behind you as Dex grows.
What You’ll Do
- Core data modelling: Design and own the core data models that everything else depends on, making them clean, trusted and easy to build on.
- Modelling at source: Work inside the product and engineering codebase to ensure data is captured and structured correctly from the start.
- Pipelines: Build and maintain the pipelines that connect our systems, so data flows through the business correctly and reliably.
- Self-serve platform: Make the data platform genuinely self-serve, so teams can answer their own questions without coming to you.
- Agents as consumers: Treat agents as first-class consumers of the data layer, structuring data so they can do analytical work accurately and at scale.
- Metrics that matter: Partner with the team on the metrics that matter, from acquisition and activation through to matching quality and commercial performance.
- Answers, not just queries: Turn ambiguous business questions into the right data model, the right metric and a clear answer.
- Standards: Set the standards for data quality, definitions and instrumentation across Dex.
What we’re looking for
- You've built the data foundation for a consumer product or marketplace before, and you know what good looks like at scale.
- You're an engineer and an analyst. You can model and pipe the data, and read what it's telling you about the business.
- Comfortable reading existing code and finding your way through a codebase you didn't write.
- Fluent across a modern analytics stack, with views on what to use when.
- Commercially and product minded. You care about the metric and the decision it drives, not just the query.
- Intelligent, ambitious, with strong judgement. A good person who's fun to work with and makes things happen without being asked.
What we offer
- Above-market salary.
- Significant equity.
- Full private healthcare & dental.
- Fertility benefits & enhanced parental support.
- Gym membership & wellness benefits.
- Regular socials, offsites and an annual trip.
- MacBook Pro + team kit.
- A "whatever you need" approach to tools and support.
Founding Data Engineer employer: Dex
At Dex, we are committed to creating a fulfilling work environment where every employee can thrive and contribute to our mission of connecting talent with opportunity. As a Founding Data Engineer, you will play a pivotal role in shaping our data foundation while enjoying above-market salary, significant equity, comprehensive healthcare benefits, and a culture that prioritises personal growth and team collaboration. Join us in building a future where technology empowers individuals to realise their potential, all while being part of a dynamic and supportive team.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Data Engineer
✨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 Dex!
✨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 Founding Data Engineer at Dex.
✨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 Dex.
✨Apply Directly through Our Website
When you find a suitable opening like Founding Data Engineer at Dex, 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 Founding Data Engineer
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 Dex, 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 Dex. 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 Dex
✨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 Dex!
✨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.
