At a Glance
- Tasks: Join a major bank to drive data transformation using PySpark and Python.
- Company: Global banking organisation with a focus on data technology.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Be part of a large-scale project that shapes the future of banking data.
- Qualifications: Experience in data engineering and proficiency in Python and PySpark.
Location: Sheffield (Hybrid 3 days per week preferred)
c.£600 per day Inside IR35
Initial 6-month contract with strong likelihood of extension
We are supporting a major global banking organisation on the growth of its Data Technology function and are looking for an experienced Data Engineer to join a large-scale data transformation programme.
Python Developer & Data Engineer in Sheffield employer: Essential Consulting
Join a leading global banking organisation that prioritises innovation and employee development within its Data Technology function. With a hybrid work model in Sheffield, you will benefit from a collaborative work culture, competitive daily rates, and ample opportunities for professional growth in a dynamic environment focused on large-scale data transformation projects.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer & Data Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and data tech sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and PySpark projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your past experiences. We all know confidence is key, so practice makes perfect!
✨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 familiar faces in our talent pool!
We think you need these skills to ace Python Developer & Data Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and PySpark. 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 excited about this Data Engineer position and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex data challenges in the past. We love seeing how you approach problems and find innovative solutions!
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 our team!
How to prepare for a job interview at Essential Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in PySpark and Python, as these are crucial for the role. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges during the interview.
✨Understand Data Transformation
Since this position involves a large-scale data transformation programme, be prepared to discuss your previous experiences with data engineering projects. Highlight specific challenges you faced and how you overcame them, showcasing your problem-solving skills.
✨Familiarise Yourself with Banking Data Needs
Research the banking sector's data requirements and challenges. Understanding the context of the industry will help you tailor your answers and show that you’re not just a tech whiz but also someone who understands the business side of things.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team, the data technology function, and the specific projects you might be working on. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
