At a Glance
- Tasks: Join a major banking organisation to drive data transformation using PySpark and Python.
- Company: Global banking leader with a focus on innovative data technology.
- Benefits: Competitive daily rate, hybrid working, 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 with PySpark and Python is essential.
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.
This is an excellent opportunity.
Data Engineer PySpark / Python in London 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 and a collaborative culture, you'll have the opportunity to contribute to a large-scale data transformation programme while enjoying competitive rates and potential for contract extension. This role not only offers meaningful work but also fosters professional growth in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer PySpark / Python in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your PySpark and Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Ace the interview by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you'll face.
✨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 Data Engineer PySpark / Python in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with PySpark and Python. 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, give examples of how you've tackled data challenges in the past. We love seeing how you approach problems and come up with innovative solutions, especially in a banking context!
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 Inside Out
Make sure you’re well-versed in PySpark and Python. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies. They’ll likely ask you to solve a problem or explain your thought process, so practice articulating your approach.
✨Understand the Banking Sector
Since this role is with a major global banking organisation, it’s crucial to have a grasp of how data engineering fits into the financial sector. Familiarise yourself with common challenges in banking data management and be prepared to discuss how your skills can help address them.
✨Prepare for Behavioural Questions
Expect questions about teamwork, problem-solving, and project management. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Think of examples from your past experiences that showcase your ability to work in a team and handle challenges effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the data transformation programme, the team dynamics, or the tools they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
