At a Glance
- Tasks: Design and maintain data pipelines for a global financial markets infrastructure.
- Company: Hamilton Barnes, a leader in tech recruitment.
- Benefits: Competitive daily rate up to £450 and potential for contract extension.
- Other info: Hybrid role based in London with great career growth potential.
- Why this job: Join a dynamic team and work on impactful projects in the finance sector.
- Qualifications: Strong skills in Python, PySpark, and Azure; knowledge of temporal data modelling.
Hamilton Barnes is seeking a PySpark Developer for a 6-month contracting role based in London. The position involves designing, building, and maintaining data pipelines for a global financial markets infrastructure.
Ideal candidates should have:
- Strong proficiency in Python and PySpark
- Comprehensive Azure experience
- Understanding of temporal data modelling
The role is hybrid with a daily rate up to £450 and offers opportunities for extension.
PySpark Data Engineer (Microsoft Fabric) – Hybrid London employer: Hamilton Barnes
Hamilton Barnes is an excellent employer, offering a dynamic work environment in the heart of London where innovation meets financial expertise. With a strong focus on employee growth and development, we provide opportunities for skill enhancement and career progression, all while enjoying the flexibility of a hybrid work model. Join us to be part of a collaborative culture that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land PySpark Data Engineer (Microsoft Fabric) – Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with PySpark or Azure. 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 best projects involving Python and PySpark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising coding challenges related to data pipelines and temporal data modelling to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace PySpark Data Engineer (Microsoft Fabric) – Hybrid London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, PySpark, and Azure. We want to see how your skills match the job description, 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 the role and how your background aligns with the responsibilities of designing and maintaining data pipelines.
Showcase Your Technical Skills:Since this role is all about data engineering, make sure to include specific examples of your work with temporal data modelling and any relevant projects. We love seeing practical applications of your skills!
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 this exciting opportunity in London!
How to prepare for a job interview at Hamilton Barnes
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Azure Like a Pro
Since this role requires comprehensive Azure experience, take some time to review Azure services relevant to data engineering. Be prepared to explain how you've utilised Azure in past projects, especially in relation to building and maintaining data pipelines.
✨Get Familiar with Temporal Data Modelling
Understanding temporal data modelling is crucial for this position. Brush up on the concepts and be ready to discuss how you've applied them in your previous work. Consider bringing examples of how temporal data can impact financial markets.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data infrastructure and the team you'll be working with. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
