Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver data pipelines while ensuring data stability in agile teams.
- Company: Leading technology recruitment firm with a focus on innovation.
- Benefits: Hybrid work flexibility, full-time hours, and competitive contract rates.
- Why this job: Join a dynamic team and enhance your skills in cutting-edge data technologies.
- Qualifications: Proficiency in PySpark, Scala, Databricks, and strong communication skills.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology recruitment firm is seeking a skilled Data Engineer for a hybrid role based in London. The successful candidate will be responsible for designing and delivering data pipelines, ensuring data stability, and collaborating within agile teams.
Strong proficiency in PySpark, Scala, and Databricks is essential, along with effective communication skills. This is a contractual position offering full-time hours with hybrid flexibility.
Data Engineer – PySpark/Databricks, Hybrid London employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – PySpark/Databricks, Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PySpark and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview! Brush up on your technical knowledge and be ready to discuss your experience with data pipelines. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come in.
We think you need these skills to ace Data Engineer – PySpark/Databricks, Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, Scala, and Databricks. 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 passionate about data engineering and how you can contribute to our agile teams. Keep it concise but impactful – we love a good story!
Show Off Your Communication Skills: Effective communication is key in this role. In your application, give examples of how you've collaborated with others in past projects. We want to know how you can work well within our teams!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us 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 Airswift
✨Know Your Tech Inside Out
Make sure you brush up on your PySpark, Scala, and Databricks skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed and delivered data pipelines in the past. Think of examples that highlight your ability to ensure data stability and how you collaborated with agile teams to achieve project goals.
✨Communicate Clearly and Confidently
Effective communication is key! Practice explaining complex technical concepts in simple terms. This will not only show your understanding but also demonstrate your ability to work well within a team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the tools they use, or upcoming projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
