Junior Data Engineer
We have a core focus on helping the world become a cleaner, greener, and safer place. We seek to deploy technology for good - come & join us!
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Our love for the natural world drives us to innovate. Join Vaarst to work on technology that respects and supports the environment. Our actions and innovations play an active role in the energy transition making the world cleaner and greener.
Location: Bristol, UK - Hybrid
Salary: £30,000 - £40,000
About Vaarst
Vaarst focuses on making the world a cleaner, greener and safer place by deploying technology for good. We’re using techniques in artificial intelligence, autonomy, computer vision and marine robotics to create a difference in the world with underwater technology for our clients in offshore wind and the subsea industry.
Take a look at one of our products in action: SubSLAM X2 - Unlocking the Future of Marine Robotics
Founded in 2021 by our sister company Rovco, we’ve announced funding of more than £15 million, been voted one of the most innovative and sustainable companies working towards net zero and won awards for Best use of AI and Best technology innovation.
Discover your place in a hybrid / remote team of 50+ people that celebrates diversity knowing that every perspective is a valuable part of our success and that empowers you to achieve a fulfilling work-life balance.
Junior Data Engineer
This is a new role due to growth, you will be working to develop Machine Learning Operations (MLOps), geospatial data processing pipelines and related systems to provide the backbone for our geospatial and ML platform and model training capabilities.
As part of a team of 5, you will be responsible for development, support and maintenance of these pipelines and systems for very large datasets including imagery, video, bathymetry and 3D models.
Other companies may refer to this role as: Graduate Data Engineer, Data Engineer, MLOps Engineer, ML Operations, Machine learning operations
If you have expertise working with big data sets and building data pipelines and an interest in geospatial datasets this is a great opportunity to join Vaarst as we grow.
In addition, this is an incredible opportunity to help further the transition to renewable energy.
Objectives & Responsibilities:
Vaarst is an exciting and dynamic environment meaning these are likely to change as we grow, upon joining your objectives and responsibilities will include:
- Assist in streamlining and automating the flow of large geospatial datasets around the organisation.
- Develop tools to maximise the use that can be made of the company data assets, including in the development of AI capability.
- Develop your skills in the field of geospatial big data.
You should apply if you have.
we know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the listed requirements exactly to be considered for this role:
- Familiar with Linux operating system
- Developing and testing software in Python
- Working with databases
- Knowledge of good practice and principles in software development including agile working
- Experience in CI/CD toolchains (including git) and containers (Docker)
Grow together with Vaarst, you may have some knowledge of the following, if you don't these are areas you'll develop in.
- Work with big datasets and building data pipelines
- Cloud based development in AWS
- 3D data including mesh and point cloud
- Geospatial domain and working with geospatial data formats
- Working with Kubernetes
- Distributed computing
- Developing secure software
Benefits
At Vaarst, we’re committed to creating a diverse and inclusive workplace where everyone can thrive. Our hybrid-remote approach and state-of-the-art Bristol Office Hub provide a welcoming space designed to nurture your creativity, productivity and well-being.
In addition you’ll get an extensive range of benefits so you can focus on doing your very best work:
- Flexible, hybrid working and a 35 hour work week so you can work when is best for you
- 25 days annual leave to start with increasing to 35 days after 6 years + bank holidays
- Sabbaticals at 4 and 6 years and a £500 holiday voucher at 2 years
- Private medical insurance, including Dental & optical
- Career and learning development through paid courses, conferences and events
- Curiosity fund – up to £500 to spend on learning which is not role related
- Up to 10% company bonus
- Pension up to 6% company contribution
- Volunteering day, to give back to your local community
- Enhanced maternity and adoption leave
- Cycle to work scheme
- Recognition & rewards for doing great work and living our values and behaviours
- Flexible working options including, reduced hours, part time, job share, phased return to work, term time working, compressed hours
- We’re a sociable, tight-knit team with monthly socials
- Hybrid working, Most teams work in our offices 2+ days a week to collaborate and be hands on with our technology. When you do visit our Bristol office is 10 minute walk from the train station, with its own balcony and Fresh fruit & snacks and drinks in the office
Join Vaarst in our mission to make the world a cleaner, greener and safer place by deploying technology for good.
Interview Process
At Vaarst, we've designed a straightforward interview process to ensure the best fit for both you and the company. We have adopted anonymised recruitment. This means that your name, date of birth and other personal details will not be seen by the hiring team.
- Application: Begin by submitting your application with your CV, highlighting your skills and experience relevant to the job. Answer key questions on elements that are important to the role.
- Talent Partner Interview: We will tell you more about the role, the team and Vaarst’s mission. This is a two-way conversation; we want to learn about your motivation, what you can bring to Vaarst, and provide answers to your questions.
- Aptitude Test: Demonstrate your critical thinking, problem-solving abilities, and workplace personality through an aptitude test. It includes a timed cognitive exercise and a workplace personality questionnaire.
- Team Interview: Engage in a 1-hour interview with a few team members. Experience the role firsthand and share your skills and experience in. We'll discuss our technologies, key skills, and team dynamics. As always, feel free to ask any questions you may have.
- CTO Conversation: Meet with our CTO for a 30-minute discussion. This is your opportunity to express your thoughts on the role and ask any final questions. We'll clarify expectations and ensure this role aligns with your aspirations.
- Offer! If you are successful in the process , you'll receive an offer to join Vaarst and become part of our team.
We value the diversity of our teams and are committed to supporting and welcoming individuals from all backgrounds, knowing that every perspective is a valuable part of our success. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.
Apply now and help deploy technology for good.
- Department
- AI & ML
- Locations
- Bristol
- Remote status
- Hybrid Remote
- Yearly salary
- £30,000 - £40,000
- Employment type
- Full-time

Bristol
Company culture
As an organisation, we know that in order to achieve our goals we need to attract, develop and retain only the very best people and encourage their growth through our company.
As a fast-growing business in an ever-changing environment, we truly recognise how important it is to be aware of our roots, to visualise the mission we are working towards and to embrace our values to help us reach our common goal as a team.
About Vaarst
Vaarst is a cloud robotics business, focused on the energy transition space. We are developing a platform for mobile autonomous robotics, starting with the offshore renewables sector, where our aim is to solve robotic challenges of today and the future.
We produce state of the art computer vision coupled with the latest in machine learning techniques. We use this to deploy underwater robots on offshore wind farms where they perform visual surveys and output detailed 3D models.
Our team have won numerous awards and have been recognised for their contribution to advancements in vision, data and autonomous technology.
Junior Data Engineer
We have a core focus on helping the world become a cleaner, greener, and safer place. We seek to deploy technology for good - come & join us!
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