At a Glance
- Tasks: Lead the development of data infrastructure for an innovative AI assistant.
- Company: Join a top-rated remote-first workplace that values your growth.
- Benefits: Enjoy competitive pay, flexible work, and a supportive community.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by shaping data systems for cutting-edge technology.
- Qualifications: Experience in data engineering and a passion for collaboration.
The predicted salary is between 59400 - 72600 £ per year.
About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day.
This isn't just another remote opportunity - it’s about finding where you truly belong, no matter where you are.
From day one, you're welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles.
We help you discover meaningful work with teams that invest in your success, where you're empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
As a Lead Data Engineer, you will build and lead the data infrastructure powering an intelligent AI assistant that automates operational workloads for property managers, letting agents and build-to-rent teams.
The platform handles communications, compliance, maintenance coordination and scheduling, helping property businesses operate with the efficiency of modern digital platforms.
You will architect and scale the data systems behind the AI products, covering real-time data pipelines, analytics infrastructure, vector databases and machine learning data workflows.
Working closely with AI engineers, backend engineers, product teams, founders and product leadership, you will ensure the platform can process large volumes of operational data reliably, efficiently and intelligently.
As the first senior data hire, you will play a key role in defining the data architecture, technology stack, engineering standards and ways of working.
You will also help shape the data team, establishing its culture and hiring bar as the function grows.
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Lead Data Engineer (Contract, Full-Time) [HR208] (UK) in London employer: Smart Working
At Smart Working, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our hybrid working model allows for flexibility while collaborating with a talented London-based team, and we offer uncapped commission alongside clear pathways for career advancement. Join us to be part of a forward-thinking company that values innovation and personal growth, all while contributing to a smarter, fairer world of work.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer (Contract, Full-Time) [HR208] (UK) in London
✨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 Smart Working!
✨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 Engineer (Contract, Full-Time) [HR208] (UK) at Smart Working.
✨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 Smart Working.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer (Contract, Full-Time) [HR208] (UK) at Smart Working, 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 Lead Data Engineer (Contract, Full-Time) [HR208] (UK) in London
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 Smart Working, 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 Smart Working. 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 Smart Working
✨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 Smart Working!
✨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.
