Data Engineer - Geospatial

Bristol, United Kingdom

Beam

Beam's generative AI agents help teams multiply their productivity, automate time-consuming business processes and focus on the work that really matters.

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Job Title: Data Engineer 

Reporting To: Technical Architect 

Location: Bristol - Hybrid 2+ days in office per week

Salary: £40,000 - £60,000 depending on skills and experience 

We are looking for a Data Engineer with a Geospatial focus to develop and optimize data pipelines for processing vast datasets, including imagery, video, bathymetry, and 3D models. Reporting to the Technical Architect, you will play a key role in ensuring efficient geospatial data workflows, supporting AI-driven analytics, and enhancing offshore and subsea technology solutions.

Your work will directly impact our geospatial AI platforms, helping to establish Beam as a leader in sustainable marine and renewable technologies.

This position makes a significant impact on the business by delivering efficient and accurate data processing and interpretation, enabling next-generation capabilities in autonomy and computer vision, and helping to establish Beam as a leader in sustainable marine and renewable technologies.

We’ll welcome your ideas & input and support your development, In addition, this is an incredible opportunity to help further the transition to renewable energy.

Objectives & Responsibilities:

Beam is an exciting and dynamic environment meaning these are likely to change as we grow. Upon joining your objectives and responsibilities will include:

  • Design, build, and maintain automated geospatial data pipelines
  • Process and manage large geospatial datasets (e.g., satellite imagery, point clouds, bathymetry)
  • Work with GIS tools and geospatial databases to ensure accessibility and security
  • Optimize workflows for handling geospatial data formats and 3D models
  • Collaborate with ML Engineers to integrate geospatial insights into AI models
  • Ensure data security, integrity, and compliance across all geospatial assets

    Key Projects & First 30/60/90 Days

    • First 30 Days: Understand existing data infrastructure, tools, and workflows. Establish collaboration with data scientists and engineers.
    • 60 Days: Begin designing and implementing automated data pipelines and streamlining geospatial data flow.
    • 90 Days & Beyond: Deliver production-ready pipelines for AI model training and geospatial analysis, optimizing performance and scalability.

    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:

    • Strong experience with Python and Linux
    • Hands-on expertise in GIS, geospatial data formats, and remote sensing
    • Proven ability to work with big data processing and cloud-based solutions (AWS preferred)
    • Knowledge of geospatial databases and technologies
    • Experience with CI/CD pipelines, Git, and containerization (Docker, Kubernetes)

    Grow together with Beam where you will learn these skills or build on your expertise:

    • Experience with 3D data processing (point clouds, mesh models)
    • Understanding of geospatial machine learning applications


    About Beam

    At Beam, we bring the technology to transform offshore wind through AI and robotic automation, alongside the determination to tackle the significant challenges ahead. We’re committed to making the transition to renewable energy a reality.

    Through industry-defining R&D and transformative partnerships, we’re reshaping what it means to work in offshore wind. Beam is making wind farm development more efficient, reducing risk, complexity and cost, while helping to cure an unsustainable dependence on oil and gas.

    Check out the Latest Beam Updates

    Together, we are Beam. And we’re leading the charge towards a sustainable future.

    Benefits

    People join Beam because they are excited by the possibility of leaving their own mark on the world and developing solutions that solve real world problems. Although we share the same vision, we value varied perspectives and adapt to fit different people from all walks of life. Not only does that make for a genuinely awesome team of colleagues, but it also makes day-to-day life more interesting, and it’s how we keep evolving and getting better at what we do.

    We believe in flexibility, career growth, and a work culture that empowers you. Here’s what you get at Beam:

    • Flexible & hybrid working (up to 3 days from home).
    • 33 days annual leave, increasing 2 days a year up to 43 days after 6 years.
    • Private medical insurance (including Dental & Optical and 4X Life Assurance).
    • Up to 10% company bonus & pension contributions up to 6%.
    • Curiosity Fund – £500 annually for personal development outside of work.
    • Volunteering day to give back to your community.
    • Enhanced Maternity & Adoption leave previous time with a new family
    • Cycle to work and get yourself a new bike.
    • Recognition & rewards for great work and living our values

    Join Beam in our mission to make the world a cleaner, greener and safer place by deploying technology for good.

    Interview Process

    Our process is straightforward and transparent. We use anonymized recruitment to ensure fairness.

    1. Apply: Submit your application & answer key questions.
    2. Aptitude Test: Showcase your critical thinking & problem-solving skills. 
    3. Talent Partner Interview: Learn more about the role & discuss your experience.
    4. Team Interview: Meet team members & discuss technology, skills, and challenges.
    5. Executive Conversation: Meet with an executive leader to discuss expectations.
    6. Offer! Join Beam and be part of something bigger. 

    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.  

    Empower change through technology, Join Beam

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    Job stats:  2  1  0
    Category: Engineering Jobs

    Tags: AWS Big Data CI/CD Computer Vision Data pipelines Docker Git Kubernetes Linux Machine Learning Model training Pipelines Python R R&D Security

    Perks/benefits: Career development Flex hours Health care Medical leave Salary bonus

    Region: Europe
    Country: United Kingdom

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