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 environment with mentorship and career advancement opportunities.
- Why this job: Shape the future of data solutions and enhance your tech skills.
- Qualifications: Experience with Azure data services and strong coding skills in 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 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 company is committed to leveraging cutting-edge technology while ensuring a healthy work-life balance for all employees.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the Azure data space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure services, PySpark, and Python. We love seeing real-world applications of your expertise, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of ETL/ELT processes and data architecture standards. We recommend practicing common interview questions related to Azure and data engineering.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals who can help us build amazing data solutions.
We think you need these skills to ace Azure Data Engineer
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 job description, so don’t be shy about showcasing your expertise!
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 team. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this role.
Showcase Your Projects:If you've worked on any cool projects involving ETL/ELT pipelines or data architecture, make sure to mention them! We appreciate real-world examples that demonstrate your problem-solving skills and technical know-how.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re keen on joining our team!
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 Skills
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 ensure data quality and performance.
✨Demonstrate Your Coding Proficiency
Since expertise in PySpark and Python is crucial, be prepared for technical questions or even a coding challenge. Practise writing clean, efficient code and be ready to explain your thought process while solving problems.
✨Emphasise Collaboration and Mentorship
This role involves working with stakeholders and mentoring junior engineers. Think of examples where you've successfully collaborated on projects or helped others grow their skills, and be ready to share those stories during the interview.
