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- 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, inclusive culture, and opportunities for professional growth.
- Other info: Mentor junior engineers and drive technical excellence in a collaborative environment.
- 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 50000 - 62500 £ 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.
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. 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
Contact Detail:
Ocean Infinity 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 the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering. This gives you a chance to demonstrate your expertise and creativity, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at Ocean Infinity.
We think you need these skills to ace Senior Data Engineer - Integration in Southampton
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering and innovation shine through. We want to see how excited you are about transforming industries with technology!
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in Python, SQL, and any relevant data technologies to catch our eye.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Senior Data Engineer role.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Ocean Infinity
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and SQL. Be ready to discuss your experience with data pipelines and automation solutions, as well as any specific tools like Airflow or Databricks that you've used. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about specific projects where you designed scalable data architectures or improved existing workflows. This will show your potential employer that you can think critically and innovate within their tech-driven environment.
✨Emphasise Collaboration
Since this role involves working closely with product teams and mentoring junior engineers, be ready to discuss your experience in collaborative settings. Highlight instances where you’ve successfully partnered with others to achieve a common goal, and how you’ve contributed to team success.
✨Align with Their Values
Ocean Infinity values courage, trustworthiness, and conscientiousness. During the interview, reflect these values in your responses. Share stories that demonstrate your commitment to ethical practices and environmental responsibility, showing that you’re not just a fit for the role, but also for their company culture.