At a Glance
- Tasks: Design and build data foundations, write SQL, and turn messy data into insights.
- Company: Join Elio, a dynamic data consultancy with an entrepreneurial spirit.
- Benefits: Enjoy hybrid work, performance bonuses, and potential equity in a growing team.
- Other info: Be part of a small team with excellent growth opportunities and exposure to new products.
- Why this job: Make a real impact by solving commercial problems and shaping innovative solutions.
- Qualifications: Passion for building software, solid SQL skills, and a drive to learn fast.
The predicted salary is between 29700 - 36300 £ per year.
Location: Central London (hybrid: three days a week in the office or at client offices, the rest flexible).
Perfect for someone who loves building and solving hard commercial problems: writing the SQL, building the pipelines, and seeing their work land with real clients from day one.
About Elio: Elio is a data and strategic growth partner. We help scaling businesses build growth engines from their data, starting with solid data foundations and layering insight, analytics, strategy and automation on top. We're a small, entrepreneurial team working in commercial, high-impact settings, and our work spans client delivery and building new products of our own. This is an early, junior-to-mid-level hire. You'll work directly with the founder and our other engineers, learn fast, and take real ownership of your work.
The role: We're looking for an Associate Data & Analytics Engineer who wants to build. You'll help create the data foundations our work rests on, turn messy client data into reliable analytics and insight, and grow into shipping solutions that move the needle for clients. This is a build-first role. You'll write the SQL and run the pipelines yourself, working alongside our engineers and learning from them as you go. The commercial relationship sits with our commercial team, but you'll be trusted to represent your work in the room and, as your confidence grows, to speak directly with clients and stakeholders. You'll also be close to how we build, with exposure to our stack and standards and, over time, to new products and ventures beyond client work.
What you'll do:
- Design and build the data foundations client work depends on: pipelines, models and warehousing.
- Write clean, well-tested SQL and Python, and follow good engineering practice (version control, documentation, code review, CI).
- Contribute to delivering data projects by helping to scope, prioritise and keep them on track, and grow into speaking with clients and stakeholders about the work.
- Turn data into insight through analytics and reporting, and lay the groundwork for strategy and automation.
- Build and integrate AI-driven solutions where they genuinely add value.
- Help shape how a growing consultancy delivers, including our processes, standards and stack, and contribute to new products and ventures as they take shape.
What we're looking for:
Must-haves:
- A real passion for building software and solving problems, and a drive to learn fast.
- Solid SQL and a good grasp of engineering fundamentals.
- Some hands-on experience with data lakes and a modern data platform, ideally Snowflake, Databricks or BigQuery.
- Good software engineering habits: Git/GitHub, branching, code review and clean commits.
- A self-starter who thrives in a small team, owns their work, and can explain technical ideas clearly to non-technical people.
Nice-to-haves:
- Broader exposure to engineering architecture, such as full-stack systems or side projects you've built and deployed.
- Hands-on experience with AI/ML or LLM-based tooling.
- Exposure to marketing and growth data (ads, CRM, CDP, first-party data).
- Experience as a technical point of contact for clients, or a consulting or agency background.
- A commercial streak and an interest in how technical work turns into products and outcomes.
Entrepreneurial from day one: You'll be a key early hire in a small, profitable, founder-led team, close to the commercial side and to new products and ventures as we build them.
Ownership: You'll have a real say in how we deliver, plus a performance bonus and potential equity for the right person, so you share in what you help build.
Range: You'll gain technical depth across the whole stack rather than being siloed into one lane.
Impact: Your work is the foundation everything else is built on, and you'll see it land.
Growth: You'll help define our stack, standards and team as we scale.
Hybrid: Three days a week with the team in central London, the rest flexible.
Before you apply: You must already have the right to work in the UK. We're unable to offer visa sponsorship for this role. We're looking for someone who can start immediately or at short notice, so please apply only if you can join soon.
We welcome applicants from all backgrounds.
Associate Data & Analytics Engineer in London employer: Elio.
Elio is an exceptional employer for those looking to make a significant impact in the data and AI space. With a focus on entrepreneurial spirit, employees enjoy real ownership of their projects, direct exposure to clients, and the opportunity to shape the company's future as it scales. The hybrid work model in central London fosters a collaborative environment while allowing flexibility, making it an ideal place for growth-oriented professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data & Analytics Engineer in London
✨Get Involved in Data Science Meetups
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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 Elio..
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We think you need these skills to ace Associate Data & Analytics 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 Elio., 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 Elio.. 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 Elio.
✨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 Elio.!
✨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.
