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: Enjoy competitive salary, hybrid work, and opportunities for professional growth.
- 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.
- Other info: Be part of an inclusive team that values innovation and creativity.
The predicted salary is between 60000 - 80000 £ 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: 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 - Integration in Southampton employer: Ocean Infinity Group
Contact Detail:
Ocean Infinity Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Integration in Southampton
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer - Integration in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in data pipelines, automation solutions, and any relevant technologies like Python and SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about transforming operations at sea. Share specific examples of how you've led data projects or mentored others, showing us your alignment with our values.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include details about complex data pipelines you've built, tools you've used, and any innovative solutions you've implemented. We want to see your technical prowess!
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 this exciting opportunity to join our team.
How to prepare for a job interview at Ocean Infinity Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and any data orchestration tools like Airflow or Prefect. Brush up on your knowledge of data lake architectures and be ready to discuss how you've implemented them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on how your solutions improved data workflows or enhanced system performance.
✨Demonstrate Leadership and Mentorship
Since the role involves mentoring junior engineers, be ready to share examples of how you've guided others in your past positions. Highlight your experience in conducting code reviews and leading technical discussions, showcasing your ability to foster a collaborative team environment.
✨Align with Company Values
Research Ocean Infinity’s core values and think about how your personal values align with theirs. Be prepared to discuss how you prioritise safety, equality, and environmental responsibility in your work, as these are key aspects of their culture.