At a Glance
- Tasks: Design and build data pipelines using modern cloud technologies.
- Company: Leading retirement-focused company in Greater London.
- Benefits: Competitive salary, flexible working hours, and career advancement opportunities.
- Other info: Collaborative environment with a focus on data quality and compliance.
- Why this job: Join a fast-growing company making a real difference in clients' lives.
- Qualifications: Experience in data analytics, Python, SQL, and optimising data processes.
The predicted salary is between 42000 - 60000 £ per year.
A leading retirement-focused company in Greater London is seeking a Data Engineer to design and build data pipelines using modern cloud technologies. You will collaborate with teams to ensure data quality and compliance while leveraging Azure tools like Data Factory and Databricks.
Ideal candidates should have proven experience in data analytics, strong skills in Python and SQL, and a knack for optimizing data processes within a financial services context. This is an exciting opportunity to join a fast-growing company dedicated to helping clients achieve a better later life.
Azure Data Engineer: ETL Pipelines & Lakehouse employer: Just Group plc
Join a leading retirement-focused company in Greater London, where innovation meets purpose. We offer a collaborative work culture that values employee growth and development, providing ample opportunities to enhance your skills in data engineering while making a meaningful impact on clients' lives. With competitive benefits and a commitment to work-life balance, this is an excellent place for those looking to thrive in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer: ETL Pipelines & Lakehouse
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with Azure and data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and any projects using Azure Data Factory or Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've optimised data processes in previous roles, especially in financial services. Real-life examples will make you shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Azure Data Engineer: ETL Pipelines & Lakehouse
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure tools like Data Factory and Databricks. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data engineering and how you’ve optimised data processes in previous roles, especially in financial services.
Showcase Your Collaboration Skills:Since you'll be working with various teams, it’s important to highlight any past experiences where you’ve successfully collaborated. We love seeing candidates who can work well with others to ensure data quality and compliance.
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 Just Group plc
✨Know Your Azure Tools
Make sure you brush up on your knowledge of Azure Data Factory and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common data manipulation tasks beforehand.
✨Understand Data Quality and Compliance
Since this role involves ensuring data quality and compliance, be prepared to talk about your experience with data governance. Share specific examples of how you've maintained data integrity in previous roles, especially in a financial services context.
✨Collaborate and Communicate
This position requires collaboration with various teams, so highlight your teamwork skills. Think of examples where you successfully worked with others to achieve a common goal, and be ready to discuss how you handle feedback and differing opinions.
