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- Tasks: Build data pipelines and automate workflows while learning from experienced team members.
- Company: Ocean Infinity, a tech company revolutionising operations at sea with data-driven solutions.
- Benefits: Competitive salary, inclusive workplace, and opportunities for personal growth and innovation.
- Other info: Exciting projects, collaborative culture, and excellent career development opportunities.
- Why this job: Join a mission-driven team and make a real impact on safety and environmental responsibility.
- Qualifications: Degree in relevant field or equivalent experience; programming skills in Python and SQL.
The predicted salary is between 30000 - 40000 £ per year.
Ocean Infinity is a technology company transforming operations at sea into data‑driven solutions that support safety, equality, and environmental responsibility.
Responsibilities
- Build and maintain data pipelines that automate manual workflows, transforming raw data into curated, high‑quality datasets under guidance from senior team members.
- Assist in developing data integrations between the lakehouse and downstream products, analytics tools, or operational systems.
- Support the implementation of Bronze → Silver → Gold transformation pipelines using modern orchestration tools.
- Contribute to data quality efforts, implementing validation checks, monitoring pipeline health, and basic troubleshooting.
- Help develop backend data services and APIs that expose curated datasets to internal consumers and business applications.
- Work with Data Engineers, product teams, and business stakeholders to understand data requirements and help implement transformation logic.
- Document data pipelines, transformation logic, and data flows, ensuring knowledge sharing across the team.
- Learn and apply best practices in data engineering, ETL/ELT patterns, and cloud data technologies.
Qualifications
- Degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- 0–2 years of experience in Data Engineering, Backend Engineering, Software Development, or related internship/academic project experience.
- Solid programming foundation in Python and working knowledge of SQL.
- Basic understanding of data pipelines, APIs, or backend services.
- Familiarity with version control systems (Git) and collaborative development workflows.
- Eagerness to learn about workflow orchestration tools such as Airflow, Prefect, or Flyte, and ETL/ELT frameworks.
- Understanding of fundamental data structures and algorithms.
- Good communication skills and willingness to learn from data engineering teams and business stakeholders.
- Enthusiasm for working with data, building automated pipelines, and solving practical data transformation problems.
Desirable Skills and Experience
- Academic or personal projects involving data processing, ETL pipelines, or data transformation.
- Exposure to cloud platforms (Azure, AWS, GCP) and data lake architectures.
- Familiarity with SQL or NoSQL databases such as Postgres, MongoDB, or Redis.
- Basic understanding of Delta Lake or lakehouse concepts.
- Knowledge of data modeling and schema design principles.
- Experience with CI/CD concepts or tools.
- Basic understanding of containerization concepts (Docker).
- Exposure to data quality frameworks or testing approaches.
Compensation
Porto – Circa €30,000. UK – Compensation based on experience. Salary varies by location and job grade, reflecting skills, abilities, and experience required.
Benefits
At Ocean Infinity, we believe in creating equal opportunities for all and celebrating each person’s differences. We are committed to fostering an inclusive and respectful workplace that supports your growth and innovation.
Junior Data Engineer - Integration employer: Ocean Infinity
Contact Detail:
Ocean Infinity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer - Integration
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or ETL processes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss your past projects. Confidence is key, so let your passion for data shine through!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from motivated candidates. Plus, it shows you're genuinely interested in joining our team at Ocean Infinity.
We think you need these skills to ace Junior Data Engineer - Integration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Data Engineer role. Highlight any relevant projects or coursework, especially those involving data pipelines or programming in Python and SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the role and how your background fits with our mission at Ocean Infinity. Share specific examples of your work with data or any projects that showcase your problem-solving skills.
Show Your Enthusiasm: We love candidates who are eager to learn! Make sure to express your enthusiasm for data engineering and your willingness to dive into new technologies like workflow orchestration tools and cloud platforms.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to see your application and get you into the process quickly!
How to prepare for a job interview at Ocean Infinity
✨Know Your Data Basics
Make sure you brush up on your understanding of data pipelines, ETL/ELT processes, and the basics of APIs. Being able to discuss these concepts confidently will show that you're ready to dive into the role and contribute from day one.
✨Show Off Your Projects
If you've worked on any academic or personal projects involving data processing or ETL pipelines, be prepared to talk about them. Highlighting your hands-on experience, even if it's from school, can really set you apart and demonstrate your enthusiasm for data engineering.
✨Ask Smart Questions
Prepare some thoughtful questions about the team’s current projects or the tools they use, like Airflow or cloud platforms. This not only shows your interest in the role but also gives you a chance to learn more about how you can fit into their workflow.
✨Communicate Clearly
Good communication is key, especially when discussing technical topics. Practice explaining complex ideas in simple terms, as you'll need to collaborate with various stakeholders. Clear communication can make a big difference in how well you connect with the interviewers.