At a Glance
- Tasks: Design and support ETL processes using Informatica in Azure environments.
- Company: Join a leading tech firm focused on data engineering solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make an impact in FinTech.
- Qualifications: Strong Informatica and SQL skills, with experience in Azure preferred.
- Other info: Exciting projects and a collaborative team environment await you.
The predicted salary is between 48000 - 72000 £ per year.
We’re looking for someone with strong Informatica expertise. The core requirements are:
- Hands-on Informatica experience (IICS / ETL design and support) – this is critical
- SC clearance (or very close to obtaining it)
- Strong SQL / data engineering background, ideally in Azure-based environments
Nice to have / optional skills (not essential, but beneficial):
- Experience with Microsoft Fabric (e.g. Data Factory, Synapse, OneLake)
- Exposure to financial services / FinTech environments
- Familiarity with Azure DevOps and/or GitHub
- Experience with testing practices for data pipelines (unit testing, QA)
- Broader Azure data services (Azure SQL, Managed Instance, Data Lake)
Senior Data Engineer - Microsoft in City of London employer: Response Informatics
Contact Detail:
Response Informatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Microsoft in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those with experience in Azure and Informatica. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and data pipeline testing skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions related to ETL design and Azure services.
✨Tip Number 3
Showcase your hands-on experience! If you've worked on projects involving Microsoft Fabric or Azure DevOps, make sure to highlight these in conversations. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other applicants.
We think you need these skills to ace Senior Data Engineer - Microsoft in City of London
Some tips for your application 🫡
Show Off Your Informatica Skills: Make sure to highlight your hands-on experience with Informatica in your application. We want to see how you've used IICS and ETL design in real-world scenarios, so don’t hold back on the details!
SQL is Key: Since a strong SQL background is crucial for this role, be sure to showcase your SQL skills prominently. Include specific examples of projects where you’ve used SQL to solve data engineering challenges.
Mention Your Azure Experience: If you’ve worked in Azure-based environments, let us know! Mention any relevant tools like Data Factory or Synapse that you’ve used, as this will make your application stand out.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Response Informatics
✨Master the Basics of Informatica
Make sure you brush up on your Informatica skills, especially IICS and ETL design. Be ready to discuss specific projects where you've used these tools, as this will show your hands-on experience and expertise.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL knowledge during the interview. You might be asked to solve a problem or optimise a query, so practice common SQL scenarios that could come up in a data engineering context.
✨Familiarise Yourself with Azure Services
Since the role is ideally in Azure-based environments, get comfortable with Microsoft Fabric components like Data Factory and Synapse. Having examples of how you've used these services will give you an edge.
✨Understand the Financial Services Landscape
If you have experience in FinTech or financial services, be prepared to discuss it. Even if it's not essential, showing that you understand the industry can set you apart from other candidates.