At a Glance
- Tasks: Design and build scalable data platforms while developing reliable data pipelines.
- Company: Fast-growing tech company at the forefront of AI and robotics.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in an innovative environment with complex engineering challenges.
- Why this job: Join a dynamic team and shape the future of data technology.
- Qualifications: Strong SQL and Python skills with experience in cloud-based data platforms.
The predicted salary is between 80000 - 98000 £ per year.
An exciting opportunity has arisen for a Senior Data Engineer to join a fast-growing, venture-backed technology business operating at the forefront of AI, robotics, and intelligent automation.
Joining at a key stage of the company's growth, you'll play a central role in designing and developing scalable data infrastructure, building robust data pipelines, and helping shape the future of the organisation's data platform. This is an opportunity to take ownership, influence technical direction, and work on complex engineering challenges within an innovative, collaborative environment.
What you'll be doing:
- Designing and building modern, scalable data platforms
- Developing reliable ETL/ELT pipelines and data models
- Working closely with software, AI and engineering teams
- Improving data quality, accessibility and governance
- Applying AI-powered tools and automation to enhance engineering workflows
- Helping define best practices and the long-term data strategy
What we're looking for:
- Strong commercial experience as a Data Engineer
- Excellent SQL and Python skills
- Experience with cloud-based data platforms
- Strong understanding of data modelling and data architecture
- Experience building scalable, production-grade data pipelines
- Demonstrated experience using AI tooling and automation (including LLMs and modern AI-assisted development tools) to improve engineering workflows and solve real business problems
- A proactive engineer who enjoys ownership and solving complex technical challenges
Desirable:
- Experience within AI, robotics, autonomous systems or other deep-tech environments
- Previous experience working in a start-up or high-growth scale-up
Location: Oxfordshire (Hybrid – 2 days per week onsite)
If you're looking for an opportunity to join an innovative technology company where you can have a genuine impact while remaining hands-on technically, we'd love to hear from you.
Data & AI Engineer employer: Roc Search
Roc Search is an exceptional employer that fosters a collaborative and inclusive work culture, where diverse backgrounds are not just welcomed but celebrated. With a strong focus on employee growth, you will have ample opportunities to mentor junior team members while working on cutting-edge Cloud Native and AI-driven projects in a hybrid environment. Located in Basingstoke, the company offers a dynamic workplace that prioritises innovation and personal development, making it an ideal choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI 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 Roc Search!
✨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 & AI Engineer at Roc Search.
✨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 Roc Search.
✨Apply Directly through Our Website
When you find a suitable opening like Data & AI Engineer at Roc Search, 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 & AI 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 Roc Search, 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 Roc Search. 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 Roc Search
✨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 Roc Search!
✨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.
