At a Glance
- Tasks: Design and implement data solutions using Java, Spring Boot, and microservices.
- Company: Join Ubique Systems, a leader in innovative data engineering.
- Benefits: Competitive pay, onsite collaboration, and a chance to work with cutting-edge tech.
- Other info: Onsite role in Bournemouth; valid EU visa needed.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Strong Java skills, experience with Kafka, SQL, and cloud services required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior Data Engineer for one of our customers who has expertise in:
- Strong programming skills in Java and Spring Boot.
- Hands-on experience with Microservices architecture and RESTful APIs.
- Proficiency with Kafka and distributed streaming systems.
- Solid understanding of SQL and data modelling.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Working knowledge of Flink, Spark, or Databricks for data processing.
- Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).
- Basic scripting in Python for automation or data manipulation.
Employment type: Inside IR35 Contract. It would be fully onsite working in Bournemouth.
Note: Only apply if you have a valid visa in the EU Region, sponsorship will not be given.
Senior Data Engineer employer: Ubique Systems
At Ubique Systems, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Data Engineer in Bournemouth, you will benefit from a dynamic environment that encourages professional growth through continuous learning opportunities and hands-on experience with cutting-edge technologies. Our commitment to employee well-being and a supportive team atmosphere makes us an ideal choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Ubique Systems or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Prepare for the technical interview! Brush up on your Java, Spring Boot, and microservices knowledge. We recommend doing some mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 3
Show off your projects! If you've worked on any relevant data engineering projects, make sure to highlight them during your interviews. We love seeing real-world applications of your skills, especially with tools like Kafka, Docker, and AWS.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips and updates on new roles that might be perfect for you!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong programming skills in Java and Spring Boot. We want to see your hands-on experience with Microservices architecture and RESTful APIs right at the top!
Showcase Relevant Experience:When writing your application, focus on your proficiency with Kafka and distributed streaming systems. Don’t forget to mention your solid understanding of SQL and data modelling – these are key for us!
Highlight Your Tech Stack:We love seeing candidates who are familiar with containerization (Docker) and orchestration (Kubernetes). Make sure to include any experience you have with Flink, Spark, or Databricks for data processing as well!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Ubique Systems
✨Know Your Tech Stack
Make sure you’re well-versed in Java, Spring Boot, and the other technologies mentioned in the job description. Brush up on your knowledge of microservices, RESTful APIs, and distributed streaming systems like Kafka. Being able to discuss these topics confidently will show that you’re a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your experience with SQL, data modelling, and containerization. This will demonstrate your ability to think critically and apply your skills effectively.
✨Familiarise Yourself with AWS
Since familiarity with AWS services is crucial, make sure you can talk about your experience with ECS, EKS, S3, and Lambda. If you’ve worked on projects using these services, be ready to share details about your contributions and the outcomes.
✨Practice Your Python Scripting
Even if Python scripting isn’t your main focus, it’s important to show that you can handle basic automation and data manipulation tasks. Prepare a few examples of how you’ve used Python in your work, as this could set you apart from other candidates.
