At a Glance
- Tasks: Architect and build scalable data platforms using Azure technologies.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with mentorship and career advancement opportunities.
- Why this job: Shape the future of data with cutting-edge tools and impactful projects.
- Qualifications: Experience in Azure services, PySpark, and strong SQL skills required.
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 Platform Architect: PySpark & ETL Lead in London employer: 9NEXUS
Join a forward-thinking company that prioritises innovation and collaboration, offering an exceptional work culture where your expertise as an Azure Data Platform Architect will be valued. With a strong focus on employee growth, you will have access to continuous learning opportunities and mentorship, all while working in a dynamic environment that embraces cutting-edge technology. Located in a vibrant area, our company provides a unique blend of professional development and a supportive community, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Platform Architect: PySpark & ETL Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Azure Data Platform Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure services, PySpark, and ETL processes. We want to see your work in action, so don’t be shy about sharing your successes!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data architecture standards and governance. We recommend practising common interview questions related to Azure and data solutions to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find the right job. Plus, applying directly shows your enthusiasm and commitment to joining our team as an Azure Data Platform Architect.
We think you need these skills to ace Azure Data Platform Architect: PySpark & ETL Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure data services and PySpark. 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 architecture and how you can contribute to our team. Be specific about your past experiences and how they relate to the role.
Showcase Your Projects:If you've worked on relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially in ETL/ELT and cloud migration.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people!
How to prepare for a job interview at 9NEXUS
✨Know Your Azure Services
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 dive deep into your experience with ETL/ELT processes. Have specific examples ready that highlight your ability to design and optimise pipelines for large-scale data processing, and be prepared to explain your thought process behind those designs.
✨Demonstrate Your Coding Skills
Since this role requires expertise in PySpark and Python, be ready to tackle some coding questions or even a live coding exercise. Brush up on your syntax and be prepared to explain your code choices clearly and concisely.
✨Discuss CI/CD and DevOps Practices
Familiarise yourself with CI/CD and DevOps principles as they relate to data workflows. Be prepared to discuss how you've implemented these practices in previous roles, and how they can improve data quality and performance in the context of cloud migration.
