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- Tasks: Build and evolve a cloud data platform to transform maritime operations.
- Company: Join Ocean Infinity, the world's largest robotic maritime operator.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact by harnessing technology to disrupt traditional industries.
- Qualifications: Experience in data platforms, strong Python and SQL skills, and cloud expertise.
- Other info: Collaborative environment with a focus on safety, equality, and innovation.
The predicted salary is between 36000 - 60000 £ per year.
We are using and creating technology to transform operations at sea to enable people and the planet to thrive. We are open-minded and fearless in our approach to innovation and don’t believe in boundaries. We challenge everything and have massive ambitions to drag aging industries into the tech era. We take safety, equality and education very seriously, and our responsibilities don’t stop at our front door. Our business is built on the belief that there’s definitely a more environmentally responsible way to operate at sea.
We employ people who share our core values. We expect our people to be courageous, trustworthy, and conscientious, driven by a desire to do the right thing. We strive for excellence, work collaboratively, and are genuinely excited by our work. We offer opportunities for our people to develop beyond their role and span a multitude of disciplines. These are open to all, regardless of background and experience level. Working with us means being part of a team that is harnessing technology and creativity to disrupt a traditional industry. We are not your average workplace.
Ocean Infinity is looking to hire an experienced Data Engineer into its Solutions business. As the world’s largest robotic maritime operator, we generate vast amounts of mission‑critical data from our global fleet, and this role will build the first version of the platform that turns that data into insight and autonomy. You will help transform how we collect, manage, secure, and serve data across a growing fleet of uncrewed and autonomous vessels—enabling customer analytics, operational decision‑making, and AI model development in environments where speed, precision, and confidentiality are essential.
What you will do:- Stand up and evolve the first version of the cloud data platform (AWS or Azure).
- Design the reference data architecture and make pragmatic tech choices with clear trade-offs.
- Build and operate reliable pipelines for telemetry/sensor/diagnostic data (ingest → transform → serve).
- Implement data quality controls, schema management, and monitoring.
- Establish cataloguing, metadata, lineage, and clear dataset ownership.
- Embed secure-by-design principles in delivery (access control, encryption, audit trails).
- Partner with engineering and programme teams to deliver reusable datasets and data products.
- Document standards and patterns so future programmes and hires can scale the capability quickly.
- Proven experience delivering production-grade data platforms and pipelines end-to-end.
- Strong data architecture and systems design capability: can map solutions and explain trade-offs.
- Hands-on build skills in Python (plus strong SQL) for transformations, automation, and workflow development.
- Solid cloud platform experience in AWS or Azure (storage, compute, IAM, networking basics; multi-cloud is a bonus).
- Experience with time-series / telemetry / sensor or other high-volume operational datasets, including schema evolution.
- Practical data modelling skills (analytics-ready and ML-ready structures) with performance and cost awareness.
- Rigorous approach to data quality: testing, validation, monitoring, and incident response.
- Familiarity with DevSecOps practices: CI/CD, infrastructure-as-code, version control, automated testing, observability.
- Security-aware mindset: least privilege, encryption, auditability, and disciplined change control.
- Comfortable working cross-functionally with engineers and operators; able to translate real problems into robust data products.
At Ocean Infinity, we believe in creating equal opportunities for all, celebrating each and everyone’s differences. We are driven by transforming the industry, through our technology, thoughts, behaviours and actions. Being inclusive and respectful to all is fundamental to who we are. It is the right thing to do and enables innovation and creativity to thrive. There is more work to be done, and we know that we aren’t perfect, but our commitment to these values is unwavering. They are central to our mission and the impact we have on the industry, meaning, we cannot live without them.
Senior Data Engineer in Southampton employer: Ocean Infinity Group
Contact Detail:
Ocean Infinity Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you would approach building data pipelines or solving real-world problems, and be ready to discuss your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our innovative team at Ocean Infinity.
We think you need these skills to ace Senior Data Engineer in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data platforms, cloud technologies, and any relevant projects that showcase your skills in Python and SQL.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming operations at sea and how your values align with ours. Be genuine and let your personality come through.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate how you've used them to solve real-world problems. Share specific examples of how you’ve built data pipelines or improved data quality in past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Ocean Infinity Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS or Azure. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your hands-on abilities during the interview.
✨Understand the Company’s Mission
Ocean Infinity is all about transforming operations at sea with technology. Familiarise yourself with their core values and how they aim to innovate within the maritime industry. This will help you align your answers with their mission and show that you’re a good cultural fit.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work cross-functionally. Think of examples from your past experience where you’ve successfully built data platforms or solved complex data issues, and be ready to discuss the trade-offs you made.
✨Show Your Commitment to Data Quality
Given the emphasis on data quality in the role, be prepared to talk about your approach to testing, validation, and monitoring. Share specific instances where you implemented data quality controls and how it impacted the overall project success.
