At a Glance
- Tasks: Lead the design and implementation of scalable data pipelines and automation solutions.
- Company: Join Ocean Infinity, a tech-driven company transforming operations at sea.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Inclusive culture that values innovation and personal development.
- Why this job: Make a real impact by harnessing technology to disrupt traditional industries.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 75000 £ 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.
Ocean Infinity is seeking an experienced and technically accomplished Senior Data Engineer - Integration 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. You will also mentor junior team members and drive technical excellence.
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.
- Mentor junior and mid-level engineers through code reviews, technical guidance, architecture discussions, and hands-on coaching to build team capability.
- Evaluate and recommend data technologies, tools, and platforms that will improve engineering productivity and data platform capabilities.
Who you are:
- A degree in Computer Science, Mathematics, or a related field, or equivalent significant practical experience.
- 5+ years of experience as a Data Engineer, Backend Engineer, or similar role with demonstrated technical leadership.
- Expert-level programming skills in Python and advanced proficiency in SQL, including query optimization and performance tuning.
- Proven experience architecting and maintaining complex data pipelines, transformation workflows, and data platform components that serve multiple downstream consumers.
- Deep hands-on experience with workflow orchestration tools (Airflow, Prefect, Flyte) including advanced patterns and best practices.
- Strong expertise with SQL and NoSQL systems (e.g., Postgres, MongoDB, Redis) including schema design and optimization.
- Advanced understanding of data structures, algorithms, distributed systems, and data modeling principles.
- Extensive experience with data lake / lakehouse architectures, implementing medallion architecture patterns, and building data products that serve structured and semi-structured data at scale.
- Excellent communication and leadership skills, with proven ability to influence technical direction and mentor team members.
- Track record of delivering complex, high-impact data platform solutions that automate manual workflows and enable self-service data access in cross-functional environments.
Desirable:
- Deep experience with Delta Lake, data lake storage, and cloud data platforms (Azure preferred).
- Proven experience building event-driven and streaming data integrations at scale.
- Expert knowledge of Azure data services (ADLS, ADF, Databricks, Event Hubs).
- Strong experience implementing and maintaining CI/CD workflows (Azure Pipelines, GitHub Actions, ArgoCD).
- Production experience deploying and managing containerized services in Kubernetes (AKS preferred).
- Experience with data quality frameworks and testing tools (Great Expectations, Soda, dbt).
- Knowledge of data governance tools and metadata management (Unity Catalog, Purview).
- Experience with infrastructure-as-code (Terraform, Bicep) and platform engineering.
- Understanding of feature engineering patterns and data preparation workflows for ML systems.
- Background in system design, performance optimization, and capacity planning for data platforms.
- Contributions to open-source projects or technical community involvement.
Salary: UK - Based on experience; Porto - Circa €50000
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 - Integration employer: Ocean Infinity Group
Ocean Infinity is an exceptional employer that champions innovation and environmental responsibility, making it a unique place to work as a Senior Data Engineer - Integration. With a hybrid work model in vibrant locations like London and Porto, employees enjoy a collaborative culture that prioritises safety, equality, and personal growth, alongside opportunities to mentor others and lead transformative projects. The company fosters a supportive environment where diverse backgrounds are celebrated, ensuring that every team member can thrive while contributing to meaningful advancements in technology at sea.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Integration
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ocean Infinity Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer - Integration at Ocean Infinity Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ocean Infinity Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - Integration at Ocean Infinity Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer - Integration
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ocean Infinity Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocean Infinity Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocean Infinity Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ocean Infinity Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
