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- Tasks: Design scalable data platforms and develop ETL workflows for real-time financial services.
- Company: Join Sperton Global AS, a leader in the financial technology sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams to ensure data quality and compliance.
- Why this job: Make an impact by delivering data-driven solutions in a dynamic environment.
- Qualifications: Expertise in Java, data engineering, and cloud platforms required.
The predicted salary is between 60000 - 80000 £ per year.
Sperton Global AS is looking for an experienced Senior Data Engineer specialized in Java to join their technology team in the financial services sector. The role involves designing scalable data platforms, developing ETL workflows, and building high-performance services.
Ideal candidates will have expertise in data engineering, cloud platforms, and modern data practices. This position offers opportunities to work closely with various teams to deliver data-driven solutions while ensuring data quality and compliance.
Senior Java Data Engineer - Real-Time Platforms (Hybrid) in London employer: Sperton Global AS
Contact Detail:
Sperton Global AS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Java Data Engineer - Real-Time Platforms (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on openings at Sperton Global AS or similar companies.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects, especially those involving Java and data engineering. This will give you an edge during interviews and help us see how you can contribute to building scalable data platforms.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by doing mock interviews with friends or using online platforms. Focus on common data engineering questions and be ready to discuss your experience with ETL workflows and cloud platforms.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our site. It not only streamlines the process but also shows your enthusiasm for joining our team at Sperton Global AS.
We think you need these skills to ace Senior Java Data Engineer - Real-Time Platforms (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your expertise in cloud platforms and modern data practices. We’re looking for someone who can hit the ground running, so let us know what tools and technologies you’re comfortable with.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Sperton Global AS
✨Know Your Java Inside Out
Make sure you brush up on your Java skills, especially around data engineering concepts. Be prepared to discuss your experience with designing scalable data platforms and developing ETL workflows, as these are key aspects of the role.
✨Showcase Your Cloud Knowledge
Familiarise yourself with the cloud platforms relevant to the job. Be ready to talk about how you've used cloud technologies in past projects, particularly in relation to data quality and compliance. This will demonstrate your ability to work in a modern data environment.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of data engineering principles. Practice coding challenges or system design scenarios that could come up during the interview to show your expertise.
✨Highlight Team Collaboration Experience
Since the role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Discuss any cross-functional projects you've been part of and how you contributed to delivering data-driven solutions.