At a Glance
- Tasks: Join a Big Data project in finance, using Java and cutting-edge technologies.
- Company: Dynamic finance sector client with innovative projects.
- Benefits: Hybrid work model, competitive pay, and potential contract extension.
- Other info: Exciting opportunity for growth in a fast-paced environment.
- Why this job: Make an impact in finance while working with the latest Big Data tools.
- Qualifications: Experience in Java, Big Data, and on-premises clusters required.
The predicted salary is between 50000 - 65000 £ per year.
6-Month Contract (Possible Extension)
Inside IR35
Hybrid London (3 days)
I have been engaged by my client to bring in a Java Data Engineer to work on a Big Data Project in the finance sector.
Required Experience:
- Java
- Big Data experience
- On-premises cluster experience
- Databases
- Kubernetes
- Kafka
- Apache Spark
Preferred Experience:
- Finance sector experience
Java Data Engineer employer: Tank Recruitment
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact exciting Big Data projects in the finance sector. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, all while enjoying the vibrant atmosphere of London. Our hybrid working model ensures a balanced approach to work and life, making us an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Java Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance sector and let them know you're on the lookout for a Java Data Engineer role. You never know who might have the inside scoop on opportunities.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Java and Big Data projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Java Data Engineers and practice your answers. Be ready to discuss your experience with Kubernetes, Kafka, and Apache Spark in detail.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly gives you a better chance of standing out to recruiters.
We think you need these skills to ace Java Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Java and Big Data experience. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your experience with on-premises clusters, databases, and any finance sector work you've done. Let us know what excites you about this opportunity!
Showcase Your Technical Skills:Since this role involves tools like Kubernetes, Kafka, and Apache Spark, make sure to mention your proficiency with these technologies. We love seeing specific examples of how you've used them in past projects!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Tank Recruitment
✨Know Your Java Inside Out
Make sure you brush up on your Java skills before the interview. Be prepared to discuss your experience with Java in detail, especially in relation to Big Data projects. Practise coding challenges that focus on Java to demonstrate your proficiency.
✨Familiarise Yourself with Big Data Tools
Since this role involves working with tools like Apache Spark, Kafka, and Kubernetes, it’s crucial to have a solid understanding of these technologies. Be ready to explain how you've used them in past projects and how they can be applied to the finance sector.
✨Showcase Your Finance Sector Knowledge
If you have experience in the finance sector, make sure to highlight it. Discuss any relevant projects or challenges you've faced and how you overcame them. If you lack direct experience, research common data challenges in finance and be prepared to discuss how you would approach them.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street, so come armed with thoughtful questions about the team, the project, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
