At a Glance
- Tasks: Architect and build scalable data platforms using Azure technologies.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for growth.
- Other info: Collaborative culture with mentorship opportunities and career advancement.
- Why this job: Shape the future of data solutions and enhance your skills in a dynamic environment.
- Qualifications: Experience with Azure data services and proficiency in PySpark and Python.
The predicted salary is between 60000 - 80000 £ per year.
Key Responsibilities
- Architect and build scalable data platforms using Azure (ADF, Databricks, Data Lake, Synapse)
- Design and optimize ETL/ELT pipelines for large-scale data processing
- Develop distributed data solutions using PySpark and Python
- Ensure performance, cost optimization, data quality, and security
- Define data architecture standards, governance, and best practices
- Implement CI/CD and DevOps for data workflows
- Lead troubleshooting, performance tuning, and cloud migration initiatives
- Collaborate with stakeholders and mentor junior engineers
Required Skills
- Strong experience in Azure data services (ADF, Databricks, Synapse, Data Lake, Azure SQL)
- Expertise in PySpark, Python, and advanced SQL
- Solid understanding of ETL/ELT, data warehousing, and lakehouse architecture
- Experience with DevOps, CI/CD, and Git
- Knowledge of data security, governance, and performance optimization
Azure Data Engineer in London employer: 9NEXUS
As an Azure Data Engineer at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and mentorship. Located in a vibrant tech hub, our team is dedicated to pushing the boundaries of data engineering while ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Azure data community, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using Azure services like ADF and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of ETL/ELT processes and be ready to discuss how you've optimised data workflows in the past. Practice common interview questions related to Azure and data engineering.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Azure Data Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Azure Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure data services and relevant technologies like PySpark and Python. We want to see how your skills align with the key responsibilities listed in the job description.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Mention specific projects or experiences that showcase your expertise in ETL/ELT and cloud migration.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled challenges in data architecture or performance tuning. We love seeing candidates who can think critically and lead troubleshooting initiatives.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at 9NEXUS
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure data services like ADF, Databricks, and Synapse. 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 ETL/ELT Expertise
Prepare to talk about your experience with designing and optimising ETL/ELT pipelines. Have specific examples ready that demonstrate your ability to handle large-scale data processing and how you ensured data quality and performance.
✨Demonstrate Your Coding Skills
Since you'll be working with PySpark and Python, be prepared for technical questions or even a coding challenge. Brush up on your coding skills and be ready to explain your thought process while solving problems.
✨Highlight Collaboration and Mentorship
This role involves working with stakeholders and mentoring junior engineers. Think of examples where you've successfully collaborated with others or helped someone grow in their role. This will show your ability to lead and work as part of a team.
