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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.
- 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) 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)
✨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 lookout for opportunities. A friendly chat can sometimes lead to job openings that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Java and data engineering. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data platforms and ETL workflows, and don't forget to highlight your experience with cloud platforms!
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like the Senior Java Data Engineer. Plus, it shows you're genuinely interested in joining our team at Sperton Global AS.
We think you need these skills to ace Senior Java Data Engineer - Real-Time Platforms (Hybrid)
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 before the interview. Be ready to discuss your experience with Java in detail, especially how you've used it in data engineering projects. Prepare to explain your thought process when designing scalable data platforms.
✨Showcase Your ETL Workflow Experience
Be prepared to talk about specific ETL workflows you've developed. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to deliver high-performance services.
✨Familiarise Yourself with Cloud Platforms
Since the role involves cloud platforms, make sure you know the ins and outs of the ones you've worked with. Be ready to discuss how you've leveraged cloud technologies to enhance data quality and compliance in your previous roles.
✨Collaborative Mindset is Key
This position requires working closely with various teams, so be prepared to share examples of how you've successfully collaborated in the past. Emphasise your communication skills and your ability to deliver data-driven solutions as part of a team.