At a Glance
- Tasks: Design and build distributed data systems for high-volume data processing.
- Company: Pontoon, a forward-thinking company with a hybrid working model.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting role with a focus on compliance assurance and data integrity.
- Why this job: Join a dynamic team and work on cutting-edge data technologies.
- Qualifications: Extensive experience with Apache Spark and Kafka, plus big data tech knowledge.
The predicted salary is between 60000 - 80000 € per year.
Pontoon is seeking a Senior Software Engineer to be based in London with a hybrid working model. This full-time role involves designing and building distributed data systems for high-volume data processing, focusing on compliance assurance.
Core responsibilities include:
- Developing Spark and Kafka-based solutions
- Optimizing performance
- Ensuring data integrity
The ideal candidate will have extensive experience with Apache Spark, event streaming in Kafka, and familiarity with big data technologies like Hadoop and Hive.
Senior Data Streaming Engineer – London (Hybrid) employer: Pontoon
At Pontoon, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys the flexibility of a hybrid working model, alongside opportunities for professional growth through continuous learning and development in cutting-edge technologies like Apache Spark and Kafka. Join us to be part of a forward-thinking company that values your contributions and supports your career aspirations in the exciting field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Streaming Engineer – London (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other data streaming enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Spark and Kafka. This is your chance to demonstrate your expertise in building distributed data systems and optimising performance—make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of compliance assurance and data integrity. Be ready to discuss how you've tackled challenges in previous roles, especially with big data technologies like Hadoop and Hive.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Senior Data Streaming Engineer – London (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Apache Spark and Kafka. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data streaming and how your background makes you the perfect fit for this role. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled challenges in high-volume data processing. We love to see how you think on your feet and ensure data integrity in your work.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Pontoon
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Apache Spark and Kafka. Be ready to discuss your past experiences with these technologies, including specific projects where you’ve implemented them. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach optimising performance in a distributed data system or ensuring data integrity. Practising common scenarios can help you articulate your thought process clearly.
✨Understand Compliance Assurance
Since compliance is a key focus for this role, make sure you understand the relevant regulations and best practices. Be ready to discuss how you’ve ensured compliance in previous roles, as this will demonstrate your ability to handle the responsibilities of the position.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the company’s approach to big data technologies, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
