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. With a focus on employee well-being and a commitment to diversity, we create an inclusive environment where every team member can thrive and contribute meaningfully to our mission.
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 your connections in the data streaming field, especially those who work with Spark and Kafka. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving distributed data systems. This is your chance to demonstrate your expertise in high-volume data processing and compliance assurance.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of big data technologies like Hadoop and Hive. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
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 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 streaming and how your background makes you the perfect fit for our team. We love hearing your story!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in high-volume data processing. We’re looking for innovative thinkers who can optimise performance and ensure data integrity.
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!
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 have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in data streaming and processing. Think of examples where you optimised performance or ensured data integrity. This will demonstrate your ability to think critically and solve problems effectively.
✨Understand Compliance Assurance
Since compliance is a key focus for this role, make sure you understand the relevant regulations and standards. Be prepared to talk about how you’ve ensured compliance in your previous roles, as this will highlight your attention to detail and responsibility.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the team’s current projects, the tech stack they use, or their approach to big data challenges. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
