At a Glance
- Tasks: Design and build data pipelines while migrating systems to the cloud.
- Company: Leading UK port operator in Bristol with a focus on digital innovation.
- Benefits: Pension contributions, profit-related pay, and 25 days holiday per year.
- Why this job: Join a dynamic team enhancing digital capabilities and making a real impact.
- Qualifications: Strong SQL skills and experience with ETL frameworks required.
- Other info: Exciting opportunity for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK port operator in Bristol is looking for a Database Engineer to enhance its digital capabilities. This role involves designing and building data pipelines, migrating legacy systems to cloud platforms, and ensuring high data quality.
Ideal candidates will have strong SQL skills and experience in ETL frameworks.
Benefits include:
- Pension contributions
- Profit-related pay
- 25 days of holiday per year
Data Engineer: Cloud Pipelines & Real-Time Insights in Bristol employer: Media Sultan Group
Contact Detail:
Media Sultan Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Cloud Pipelines & Real-Time Insights in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 data pipelines and any projects you've worked on. This is a great way to demonstrate your SQL prowess and ETL experience without just relying on your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud platforms and data quality. Practise explaining your thought process when designing data solutions – it’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Engineer: Cloud Pipelines & Real-Time Insights in Bristol
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, especially in relation to data pipelines and ETL frameworks.
Tailor Your Experience: When writing your application, focus on your experience with cloud platforms and migrating legacy systems. We’re looking for candidates who can demonstrate their ability to enhance digital capabilities.
Keep It Clear and Concise: We appreciate clarity! Make your application easy to read by using bullet points and short paragraphs. This helps us quickly see your relevant skills and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Media Sultan Group
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and how you've used SQL in past projects. They might even throw some technical questions your way, so practice writing queries on the spot!
✨Showcase Your ETL Experience
Since this role involves working with ETL frameworks, be ready to talk about your hands-on experience. Prepare examples of how you've designed and implemented data pipelines, and highlight any challenges you faced and how you overcame them.
✨Understand Cloud Platforms
Familiarise yourself with the cloud platforms relevant to the role. Whether it's AWS, Azure, or Google Cloud, know the basics of how data migration works and be ready to discuss any projects where you've migrated legacy systems to the cloud.
✨Emphasise Data Quality Assurance
Data quality is crucial for this position, so come prepared to discuss your strategies for ensuring high data quality. Share specific examples of how you've monitored and improved data integrity in your previous roles.