At a Glance
- Tasks: Build and manage data pipelines for real-world data across innovative transport projects.
- Company: Join HydraB, a leader in zero-emission transport solutions in Oxford.
- Benefits: Enjoy competitive salary, generous holiday, health benefits, and flexible working options.
- Other info: Dynamic role with autonomy and opportunities for career growth in a pioneering company.
- Why this job: Make a real impact on the future of sustainable transport with cutting-edge technology.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and a STEM background.
The predicted salary is between 45000 - 55000 £ per year.
Data Engineer
We're looking for a Data Engineer to join Hydra B in Oxford and build the data foundations behind analytics across the whole Group.
If you’ve built production pipelines yourself, enjoy messy real-world data, and can explain what you’ve built to someone who’s never written a line of SQL, this one’s for you.
THE CONTEXT
The UK’s zero-emission transport sector is being built right now.
Hydra B is at the centre of it - developing the vehicles, hydrogen infrastructure, power systems and energy services that move decarbonisation from ambition to operational reality across bus, coach, fleet and energy markets.
That means a lot of data.
Vehicle telematics, chargers, energy systems, hydrogen production and fleet operations, all feeding into a platform built on Microsoft Azure and Snowflake.
We also work closely with WTech, the Wright Technology and Research Centre at Queen’s University Belfast, on machine learning and advanced modelling.
The data is there.
We need someone to make it reliable, joined up and trusted.
THE ROLE
This is a hands‑on engineering role with real autonomy and plenty of variety.
You’ll own the pipelines and models that the business and our research partners rely on, and you’ll have the freedom to shape how things are built.
You’ll support teams right across the Group, from engineering and operations to commercial.
There’s no shortage of appetite for good data here, so you’ll help decide what matters most and explain trade‑offs in plain English.
Reporting to the Head of Data Engineering, this is a permanent role based in Oxford a minimum of 3 days a week (more time on site is welcome).
- WHAT YOU WILL ACTUALLY DO
- Build and run production pipelines that bring in, clean and join up real‑world data from vehicles, chargers, energy systems and operations
- Design data models in Snowflake that power reporting, Total Cost of Ownership modelling and WTech’s machine learning research
- Deploy and manage data resources in Azure, with orchestration, monitoring and alerting so failures get spotted fast
- Help shape a scalable architecture (medallion‑style raw, curated and consumption layers) as the platform grows
- Agree data contracts and metric definitions with researchers and business teams, so everyone works from the same numbers
- Work with teams across the Group to understand what they need, agree priorities and be clear about what can be delivered and when
- Turn technical detail into something a commercial or operations lead can understand and act on
- Keep documentation clear and improve how we build, test and ship data
- YOU WILL BE A GREAT FIT IF YOU
- Have hands‑on, commercial data engineering experience, with production pipelines you’ve built and supported yourself
- Are strong in Python and SQL, and write clean, tested, maintainable code
- Have worked with Snowflake or a similar cloud data warehouse, including designing downstream data models
- Have used a cloud platform, ideally Azure, and orchestration tooling like Azure Data Factory, Airflow or Prefect
- Have a STEM or quantitative background and can engage confidently with researchers on modelling assumptions
- Can explain a technical problem to a non‑technical stakeholder without losing them
- Enjoy working with a range of stakeholders, building trust and helping them prioritise what matters most
- Are comfortable working autonomously and taking ownership from a loose brief
- NICE TO HAVE
- A background in telematics, transport, automotive, energy or heavy industry
- dbt for in‑warehouse transformation and testing
- CI/CD for data pipelines and infrastructure as code (e. g. Terraform)
- Experience working with research institutions or academic partners
- Exposure to machine learning pipelines or supporting data science teams
WHAT WE OFFER
- Pension - up to 8% employer contribution
- Private medical & dental
- 25 days holiday + bank holidays, with buy & sell flexibility
- Life assurance - 4x basic salary
- Income protection
- Electric car salary sacrifice scheme
- Cycle to Work scheme
- Critical illness cover
- Employee Assistance Programme - 24/7, 365 days
- Retail discounts & cashback via Fizz Benefits
- Eyecare vouchers - Specsavers
Hydra B is pioneering the UK’s transition to net zero energy and transport - building the hydrogen and electric infrastructure that gets the sector to scale.
Data Engineer in Oxford employer: HydraB
At HydraB, we pride ourselves on being an innovative employer that fosters a creative and collaborative work environment in the heart of Oxford. As an AI Application Developer, you'll have access to cutting-edge technology and the opportunity to grow your career while contributing to our mission of revolutionising fleet electrification. With a strong focus on employee development and a culture that encourages experimentation and creativity, HydraB is the perfect place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Oxford
✨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 HydraB!
✨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 Engineer at HydraB.
✨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 HydraB.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at HydraB, 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 Engineer in Oxford
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 HydraB, 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 HydraB. 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 HydraB
✨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 HydraB!
✨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.
