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- Tasks: Build and evolve a cloud data platform to transform maritime data into actionable insights.
- Company: Join Ocean Infinity, a leader in robotic maritime operations with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal and professional growth.
- Why this job: Make a real impact by harnessing technology to disrupt traditional industries at sea.
- Qualifications: Experience in data platforms, strong Python and SQL skills, and cloud expertise.
- Other info: Collaborative environment with a commitment to safety, equality, and environmental responsibility.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Ocean Infinity
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.
Position Overview
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.
Who You Are
- 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.
Salary
The salary varies for this position as we are recruiting in multiple regional locations and job grades. The salary process is based on skills, abilities, and experience required.
What You Can Expect
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
Contact Detail:
Ocean Infinity 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 with current employees at Ocean Infinity. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data platforms and pipelines. This is your chance to demonstrate your hands-on abilities and how you can contribute to transforming operations at sea.
✨Tip Number 3
Be ready for technical interviews! Brush up on your Python and SQL skills, and be prepared to discuss your approach to data architecture and quality controls. They’ll want to see how you think and solve problems, so practice articulating your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Ocean Infinity team and contributing to our mission.
We think you need these skills to ace Senior Data Engineer in Southampton
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering and innovation shine through. We want to see how your values align with ours at Ocean Infinity, so don’t hold back on sharing what excites you about transforming the maritime industry!
Tailor Your Experience: Make sure to highlight your relevant experience in building data platforms and pipelines. We’re looking for specific examples that demonstrate your hands-on skills in Python, SQL, and cloud platforms like AWS or Azure. Tailoring your application to reflect our needs will make you stand out!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see how you can contribute to our mission.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the position and our company culture there!
How to prepare for a job interview at Ocean Infinity
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data platforms and pipelines you've worked with. Be ready to discuss your hands-on experience with Python, SQL, and cloud platforms like AWS or Azure. Highlight specific projects where you’ve built or improved data architectures.
✨Showcase Your Problem-Solving Skills
Ocean Infinity values innovation and a fearless approach. Prepare examples of how you've tackled complex data challenges in the past. Think about times when you had to make tough tech choices and how you communicated those trade-offs to your team.
✨Emphasise Collaboration
This role requires working cross-functionally with engineers and operators. Be ready to share experiences where you successfully partnered with other teams to deliver data products. Highlight your ability to translate technical jargon into understandable terms for non-technical stakeholders.
✨Demonstrate a Security-Aware Mindset
Given the importance of security in this role, be prepared to discuss your understanding of secure-by-design principles. Talk about your experience with access control, encryption, and incident response. Showing that you prioritise data quality and security will resonate well with the interviewers.
