Data Engineer - Backend

Ocean Infinity Group
Southampton
12 hours ago
Create job alert

Worker Type:EmployeeApplication End Date:27-03-2026We 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 a skilled and motivated Data Engineer - Backend to join our team. The successful candidate will play a key role in supporting our AI Engineers by building the data services, integrations, and backend components required to bring advanced algorithms into real-world applications. You will work across engineering, product, and AI/ML teams to automate data flows, prototype model‐driven services, and connect our AI capabilities to the tools and products used by our end‐users every day.What will you do: Build and maintain data integrations between the lakehouse, AI pipelines, and downstream products or user-facing applications. Design, develop, and operate backend data services and APIs that expose curated datasets and model outputs to internal and external consumers. Implement scalable data pipelines that move, transform, and prepare data for AI engineers, ensuring reliable access to training, inference, and evaluation datasets. Prototype and deploy lightweight model services and applications in collaboration with AI Engineers, enabling rapid iteration and early validation of new algorithms and workflows.* Ensure data quality and reliability, including monitoring, validation, troubleshooting, and performance optimization across services and workflows.* Collaborate with AI Engineers, SMEs, and product teams to understand integration needs, translate them into technical solutions, and embed them into production services.* Document system interfaces, data flows, and service contracts, ensuring clear handoffs and smooth adoption across teams.Who you are:* A degree in Computer Science, Mathematics, or a related field.* 3+ years of experience as a Data Engineer, Backend Engineer, or similar role.* Strong programming skills in Python and proficiency in SQL.* Experience building and maintaining data pipelines, APIs, or backend services that integrate with data platforms.* Hands-on experience with workflow orchestration tools (Airflow, Prefect, Flyte).* Familiarity with SQL/NoSQL systems (e.g., Postgres, MongoDB, Redis).* Solid understanding of data structures, algorithms, and data modeling.* Comfortable working with data lake / lakehouse concepts and integrating applications with structured or semi-structured data.* Strong communication and collaboration skills, able to work effectively with AI/ML, product, and platform teams.Desirable:* Experience integrating with Delta Lake, data lake storage, or similar cloud data platforms.* Experience building event-driven or streaming integrations.* Familiarity with Azure data services (ADLS, ADF, Cosmos, Databricks).* Experience with CI/CD workflows (Azure Pipelines, GitHub Actions, ArgoCD).* Experience with containerized services (Kubernetes, ideally AKS).* Understanding of ML serving patterns, model APIs, or feature preparation workflows.* Experience with fast‐prototyping frameworks for model deployment (e.g., FastAPI, Flask, Triton, BentoML).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.
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.