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- Tasks: Build a cloud data platform and extract insights from maritime data.
- Company: Leading maritime tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make waves in the maritime industry with your data skills.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms like AWS or Azure.
- Other info: Collaborative environment with a focus on delivering actionable data products.
The predicted salary is between 48000 - 72000 £ per year.
A leading maritime technology company in the United Kingdom is seeking an experienced Data Engineer to build the cloud data platform for extracting insights from vast amounts of maritime data. This role requires proven experience in data engineering, strong skills in Python and SQL, and cloud platform expertise in AWS or Azure.
You will be responsible for establishing reliable data pipelines and ensuring data quality while collaborating with cross-functional teams to deliver actionable data products.
Senior Data Engineer — Build a Maritime Data Platform 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 — Build a Maritime Data Platform in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the maritime tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and cloud platforms like AWS or Azure. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've built reliable data pipelines and ensured data quality in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer — Build a Maritime Data Platform in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and SQL. We want to see how your skills align with building a cloud data platform, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about maritime technology and how your background makes you the perfect fit for this role. Let us know what excites you about working with data in this industry.
Showcase Your Cloud Expertise: Since we’re looking for someone with cloud platform expertise, be sure to mention your experience with AWS or Azure. Highlight specific projects where you’ve established reliable data pipelines and ensured data quality—this will really catch our eye!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Ocean Infinity
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with building data pipelines, and be prepared to explain how you've ensured data quality in past projects. This will show that you have the technical know-how they’re looking for.
✨Show Off Your Python and SQL Skills
Since this role requires strong skills in Python and SQL, be prepared to answer technical questions or even solve problems on the spot. Practise coding challenges related to data manipulation and querying, as this could come up during the interview.
✨Familiarise Yourself with Cloud Platforms
Whether it’s AWS or Azure, make sure you understand the cloud services relevant to data engineering. Be ready to discuss how you’ve used these platforms in previous roles, and think of examples where you’ve optimised data storage or processing in the cloud.
✨Collaboration is Key
This role involves working with cross-functional teams, so be prepared to talk about your experience collaborating with others. Share specific examples of how you’ve worked with different departments to deliver actionable data products, highlighting your communication skills and teamwork.