At a Glance
- Tasks: Develop systems to streamline processes and support the IT department.
- Company: Leading financial institution in Central London with a strong reputation.
- Benefits: Competitive salary, hybrid work model, and fixed-term contract.
- Other info: Opportunity for career growth in a fast-paced environment.
- Why this job: Join a dynamic team and make a real impact in the finance sector.
- Qualifications: 7+ years of experience in C#, .NET, and SQL Server.
The predicted salary is between 55000 - 70000 £ per year.
A leading financial institution based in Central London is seeking a Data Engineer with at least 7 years of experience. The ideal candidate will have solid expertise in C# Dot Net and SQL Server. This role involves developing systems to streamline processes, supporting the IT department, and resolving issues in in-house applications.
The position is hybrid, requiring in-office work at least 3 days a week, and offers a salary between £55K and £70K for a 12-month fixed-term contract.
Data Engineer (C#/.NET) with SSIS/SSRS - Hybrid London employer: Jas Gujral
As a leading financial institution in Central London, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our employees benefit from competitive salaries, comprehensive training programmes, and ample opportunities for professional growth, all while enjoying the vibrant atmosphere of one of the world's most exciting cities. Join us to be part of a team that is dedicated to excellence and making a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (C#/.NET) with SSIS/SSRS - Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial sector or tech community. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your C#/.NET projects and any data engineering work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Data Engineers and practice your answers. Be ready to discuss your experience with SQL Server, SSIS, and SSRS, and how you've solved real-world problems in past roles.
✨Tip Number 4
Apply through our website! We make it super easy to submit your application directly. Plus, it shows you're genuinely interested in joining our team at StudySmarter, which always makes a good impression.
We think you need these skills to ace Data Engineer (C#/.NET) with SSIS/SSRS - Hybrid London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with C# and SQL Server. 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 this Data Engineer role. We love seeing enthusiasm and a clear understanding of what we do at StudySmarter.
Showcase Problem-Solving Skills:Since the role involves resolving issues in in-house applications, share examples of how you've tackled similar challenges in the past. We appreciate candidates who can think on their feet and come up with effective 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 Jas Gujral
✨Know Your Tech Inside Out
Make sure you brush up on your C# and .NET 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.
✨SQL Server Savvy
Since SQL Server is a key part of the role, prepare to answer questions about database design, optimisation, and troubleshooting. Practise writing queries and be ready to explain your thought process when solving data-related problems.
✨Showcase Your Problem-Solving Skills
This position involves resolving issues in in-house applications, so think of examples where you've successfully identified and fixed problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Hybrid Work Mindset
As this role is hybrid, be prepared to discuss how you manage your time and productivity when working remotely. Highlight any tools or strategies you use to stay connected with your team and ensure smooth collaboration.
