Senior Data Engineer

Ocean Infinity

9d

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees