At a Glance
- Tasks: Join a Big Data project in finance, utilising Java and cutting-edge technologies.
- Company: Dynamic finance sector client with innovative projects.
- Benefits: 6-month contract with potential extension and hybrid working model.
- Other info: Opportunity to work with Kubernetes, Kafka, and Apache Spark.
- Why this job: Make an impact in finance while enhancing your Java and Big Data skills.
- Qualifications: Experience with 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 in City of London employer: Tank Recruitment
As a leading player in the finance sector, our company offers an exceptional work environment for Java Data Engineers, combining innovative projects with a collaborative culture. Employees benefit from flexible hybrid working arrangements in London, opportunities for professional development, and the chance to contribute to cutting-edge Big Data initiatives that drive impactful results. Join us to be part of a dynamic team where your skills will be valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Java Data Engineer in City of London
✨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 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 make it super easy for you to find and apply for roles that match your skills. Plus, we’re always on the lookout for talented individuals like you!
We think you need these skills to ace Java Data Engineer in City of London
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. We love seeing enthusiasm for the finance sector, so if you have any experience there, make sure to mention it!
Showcase Your Technical Skills:When applying, be specific about your experience with tools like Kubernetes, Kafka, and Apache Spark. We’re looking for someone who can hit the ground running, so let us know how you’ve used these technologies 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 from us!
How to prepare for a job interview at Tank Recruitment
✨Know Your Java Inside Out
Make sure you brush up on your Java skills, especially in relation to Big Data. Be prepared to discuss your previous projects and how you've used Java in a data engineering context. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with Big Data Tools
Since the role involves working with tools like Apache Spark, Kafka, and Kubernetes, it’s crucial to have a solid understanding of these technologies. Try to get hands-on experience or at least read up on their functionalities and best practices.
✨Understand the Finance Sector
Even if finance isn't your primary background, having a basic understanding of the sector can set you apart. Research common data challenges in finance and think about how your skills can address them. This shows your potential employer that you're proactive and genuinely interested.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the project, team dynamics, and company culture. This not only demonstrates your interest but also helps you gauge if the role is the right fit for you.
