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- Tasks: Build and optimise scalable data pipelines using Azure Databricks and Azure Data Factory.
- Company: Global consultancy with a focus on financial services projects.
- Benefits: Competitive contract rate with potential for extension.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and enhance your skills in cutting-edge data engineering.
- Qualifications: Experience with Azure, Scala, and Agile methodologies required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a global consultancy currently delivering a project within the financial services space and is seeking an experienced Azure Data Engineer to join on a contract basis.
Strong expertise in Azure Databricks, building and optimizing scalable data pipelines for datasets using Azure Data Factory (ADF) and Azure cloud services.
Hands-on development experience with Scala and performance tuning in large-scale distributed data processing environments.
Ability to collaborate across teams in an Agile setup, with knowledge of CI/CD pipelines and stakeholder communication for end-to-end data engineering delivery.
Contract Details:
- Initial contract is 6 Months, with likelihood to extend
Senior Azure Data Engineer in City of London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or in financial services. 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 projects with Azure Databricks and Data Factory. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and CI/CD pipelines. Be ready to discuss how you've collaborated with teams in the past and how you tackle performance tuning in data processing.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can give you a better chance of landing that contract.
We think you need these skills to ace Senior Azure Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and data pipelines. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on development experience with Scala!
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 role. Mention your experience in Agile setups and how you’ve successfully collaborated across teams in the past.
Showcase Your Technical Skills: Don’t forget to include specific examples of your work with Azure Data Factory and CI/CD pipelines. We love seeing real-world applications of your skills, so share any projects that demonstrate your expertise in large-scale distributed data processing.
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. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at RevTech
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Databricks and Azure Data Factory skills. Be ready to discuss how you've built and optimised data pipelines in the past, and have specific examples at hand to showcase your expertise.
✨Showcase Your Coding Skills
Since hands-on development experience with Scala is crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data processing tasks and be ready to explain your thought process.
✨Emphasise Collaboration and Agile Experience
Highlight your experience working in Agile teams. Be prepared to discuss how you've collaborated with different stakeholders and contributed to end-to-end data engineering delivery. Share examples of how you’ve communicated effectively across teams.
✨Understand CI/CD Pipelines
Familiarise yourself with Continuous Integration and Continuous Deployment processes. Be ready to talk about how you've implemented or improved CI/CD pipelines in your previous roles, as this will show your ability to streamline data engineering workflows.