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Ocean Infinity

Senior Cloud Engineer

London
£95k/yr
Posted 1 day ago
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Senior Cloud Engineer

Worker Type

Employee

Application End Date

17-07-2026

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 seeking an experienced and technically accomplished Senior Cloud Engineer to join our team.

The successful candidate will lead the design and implementation of scalable data pipelines and automation solutions that transform complex manual workflows into reliable, production-grade data systems. You will serve as a technical authority working across data, product, and engineering teams to architect the data platform, establish engineering standards, and deliver curated datasets that power analytics, operational systems, and AI initiatives across the company.

What Will You Do

  • Architect and lead the implementation of complex data automation solutions that replace manual workflows with scalable, reliable data pipelines across the organization
  • Design and build end-to-end Bronze → Silver → Gold transformation pipelines, implementing domain logic, data quality frameworks, and reproducible data products.
  • Own the design of the data platform architecture, including ingestion frameworks, transformation patterns, orchestration strategies, and data governance standards.
  • Establish and enforce data engineering best practices, including schema evolution, data contracts, validation frameworks, and performance optimization across all data pipelines.
  • Build scalable backend data services and APIs that expose curated datasets to analytics tools, product applications, and downstream consumers.
  • Lead the integration of data sources from operational systems, external applications, and sensor data, implementing both batch and streaming patterns as needed.
  • Partner closely with product teams, data analysts, business stakeholders, and AI Engineers to understand complex data requirements and translate them into robust technical solutions.
  • Drive technical excellence by establishing architectural standards, conducting design reviews, and documenting patterns that enable team scalability and maintainability.
  • Evaluate and recommend data technologies, tools, and platforms that will improve engineering productivity and data platform capabilities.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Who You Are

  • A degree in Computer Science, Mathematics, or a related field
  • 5+ years of experience as a Cloud Engineer, Data Engineer, Backend Engineer, or similar role with demonstrated technical leadership.
  • Proven experience architecting and maintaining complex data pipelines, transformation workflows, and data platform components that serve multiple downstream consumers.
  • Proven experience building event-driven and streaming data integrations at scale.
  • Expert knowledge of cloud data services across either Azure or AWS ecosystems (e.g., ADLS, ADF, Databricks, Event Hubs, S3, Glue, EMR, Kinesis, Lambda).
  • Production experience deploying and managing containerized services in Kubernetes environments (AKS and/or EKS preferred).
  • Strong expertise with SQL and NoSQL systems (e.g., Postgres, MongoDB, Redis) including schema design and optimization.
  • Knowledge of data governance processes and tools and metadata management solutions
  • Experience with infrastructure as code and platform engineering practices (e.g. Terraform)
  • Experience implementing and maintaining CI/CD workflows (Azure Pipelines, GitHub Actions, AWS CodePipeline/CodeBuild, ArgoCD).
  • Strong understanding of access control frameworks and security governance in hybrid environments, including integration with enterprise identity providers (e.g., Active Directory/LDAP, SSO, IAM federation).
  • Good programming skills in Python
  • Excellent communication and leadership skills, with proven ability to influence technical direction

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Desirable

  • Strong experience designing and operating data platforms supporting telemetry, sensor, location, and operational technology (OT) data workloads.
  • Experience processing and managing large-scale video, image, and unstructured media datasets, including streaming ingestion and analytics workflows.
  • Understanding of feature engineering patterns and data preparation workflows supporting machine learning systems.
  • Strong understanding of private cloud and on-premises environments, including secure service design, network isolation, and hybrid connectivity patterns between on-prem and public cloud.
  • Experience working with maritime, fleet, vessel operations, logistics, or industrial operational domains, including telematics, tracking, asset monitoring, or operational analytics use cases.

Salary for this position: Up to £95,000 per annum

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.

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Skills

Cloud Engineering
Data Engineering
Backend Engineering
Data Pipelines
Data Automation
Data Governance
SQL
NoSQL
Kubernetes
Python
CI/CD
Infrastructure as Code
Event-Driven Architecture
Data Transformation
Data Quality
APIs

Location

London, England, United Kingdom

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