At a Glance
- Tasks: Lead the development of a cutting-edge data platform and solve complex technical challenges.
- Company: Exciting AI startup with strong funding and growth potential.
- Benefits: Competitive salary, equity opportunities, and a chance to shape the future of AI.
- Other info: Join a team of exceptional engineers and enjoy significant career growth.
- Why this job: Own the data architecture and make a real impact in a fast-paced environment.
- Qualifications: 6+ years in Data Engineering, strong Python skills, and a passion for problem-solving.
The predicted salary is between 72000 - 88000 £ per year.
A high-growth AI startup is looking for an exceptional Lead Data Engineer to build its data platform from the ground up. You'll architect distributed pipelines, real-time infrastructure and AI data systems while making the key technical decisions that shape the platform’s future.
What’s in it for you?
- Join a heavily backed AI startup at a major inflection point
- Own the data architecture and strategy from day one
- Solve complex problems across distributed systems and AI infrastructure
- Work alongside exceptional engineers, AI specialists and founders
- Build and eventually lead the data engineering function
- Become a key technical leader with meaningful equity and long-term upside
What they’re looking for:
- 6+ years in Data Engineering or Backend Engineering
- Strong academic background in a STEM discipline
- Expert Python and strong data engineering fundamentals
- Deep experience with distributed pipelines and modern data architectures
- Strong SQL and production database experience
- Someone who genuinely enjoys solving hard technical problems
Bonus: Spark, Kafka, Airflow, vector databases, AI/ML infrastructure or AWS/GCP/Azure.
If you want maximum ownership, serious technical challenges and the chance to build something from zero, this could be the one.
Lead Data Engineer in London employer: Oho Group
Join a pioneering early-stage AI company in London, where you'll have the unique opportunity to work on foundational technology that shapes how organisations understand and reason over complex information. With a strong emphasis on autonomy and technical influence, you'll be part of a small, highly capable team that values innovative thinking and offers meaningful ownership in the company's success. The collaborative and flexible work culture fosters personal growth and encourages you to turn research ideas into impactful production systems.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer 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 Oho Group!
✨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 at Oho Group.
✨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 Oho Group.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Oho Group, 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 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 Oho Group, 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 Oho Group. 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 Oho Group
✨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 Oho Group!
✨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.
