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- Tasks: Design and maintain scalable data processing solutions using Spark and Scala.
- Company: Leading financial services firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and collaborative Agile environment.
- Why this job: Join a dynamic team and tackle exciting data challenges in finance.
- Qualifications: 8+ years of Scala experience and strong knowledge of Apache Spark.
- Other info: Opportunity for professional growth in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm is seeking an experienced Spark–Scala Developer for a 12-month contract in London. The role involves designing and maintaining scalable data processing solutions while working collaboratively in an Agile environment.
Candidates should have over 8 years of experience with Scala and extensive knowledge of Apache Spark, along with strong problem-solving skills.
This position offers a hybrid work model with three days onsite in London.
Senior Spark–Scala Data Engineer (Hybrid, London) employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Spark–Scala Data Engineer (Hybrid, London)
✨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 hunt for a Senior Spark–Scala Data Engineer role. Sometimes, it's all about who you know, and a friendly nudge can lead to great opportunities.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Scala and Apache Spark skills, and be ready to showcase your problem-solving abilities. We recommend doing some mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Show off your projects! If you've worked on any impressive data processing solutions, make sure to highlight them during interviews. We love seeing real-world applications of your skills, so bring your A-game and share your successes.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and updates all in one place.
We think you need these skills to ace Senior Spark–Scala Data Engineer (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Scala and Apache Spark. 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 the perfect fit for this Senior Spark–Scala Data Engineer role. Share your passion for data engineering and how you thrive in Agile environments.
Showcase Problem-Solving Skills: Since strong problem-solving skills are key for this position, consider including examples of challenges you've faced in previous roles and how you tackled them. We love to see your thought process!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Natobotics
✨Know Your Spark and Scala Inside Out
Make sure you brush up on your knowledge of Apache Spark and Scala. Be prepared to discuss specific projects where you've used these technologies, including challenges you faced and how you overcame them. This will show your depth of experience and problem-solving skills.
✨Showcase Your Agile Experience
Since the role involves working in an Agile environment, be ready to talk about your experience with Agile methodologies. Share examples of how you've collaborated with teams, adapted to changes, and delivered results in a fast-paced setting.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of data processing solutions. Practice coding problems or scenarios related to Spark and Scala. This will help you demonstrate your technical prowess and analytical thinking during the interview.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data strategy or team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
