Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data solutions using Azure, focusing on real-time ETL/ELT pipelines.
- Company: Leading UK insurer with a strong commitment to innovation and technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and contribute to AI-driven solutions that make a difference.
- Qualifications: Proven experience in data engineering, strong Python and SQL skills required.
- Other info: Onsite role with a collaborative environment and excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading UK insurer is seeking a Senior Data Engineer to design and implement scalable data solutions with a primary focus on Azure. The role involves building real-time ETL/ELT pipelines, optimising data warehouses, and contributing to AI-driven solutions using OpenAI APIs.
Ideal candidates will have proven experience in data engineering, strong Python and SQL skills, and hands-on experience with Azure services and Power BI.
Senior Data Engineer: Azure Pipelines & AI (Onsite) in London employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Azure Pipelines & AI (Onsite) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Python, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL/ELT pipeline knowledge and AI solutions. Practise coding challenges and be ready to discuss your past experiences with real-time data processing.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Data Engineer: Azure Pipelines & AI (Onsite) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Python, and SQL. 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 passionate about data engineering and how you can contribute to our AI-driven solutions. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any real-time ETL/ELT pipelines or optimised data warehouses, make sure to mention them. We’re keen to see practical examples of your work, especially if they involve Azure services or Power BI.
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 us during the process!
How to prepare for a job interview at Fynity
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the specific services mentioned in the job description, like Azure Data Factory and Azure Synapse Analytics. Being able to discuss how you've used these tools in past projects will show you're the right fit.
✨Showcase Your ETL/ELT Expertise
Prepare to talk about your experience with building real-time ETL/ELT pipelines. Have examples ready that highlight your problem-solving skills and how you've optimised data workflows. This will demonstrate your hands-on experience and technical prowess.
✨Demonstrate Your Python and SQL Skills
Since strong Python and SQL skills are crucial for this role, be ready to discuss specific projects where you've used these languages. You might even want to prepare a small coding challenge or two to showcase your abilities during the interview.
✨Get Familiar with AI and OpenAI APIs
As the role involves contributing to AI-driven solutions, it’s essential to understand how OpenAI APIs work. Brush up on any relevant projects you've done in this area and be prepared to discuss how you can leverage AI to enhance data solutions.
