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- Tasks: Lead the development of modern data platforms using Azure tools like Databricks and PySpark.
- Company: Dynamic UK tech consultancy focused on innovation and culture.
- Benefits: Hybrid work model, career growth opportunities, and a supportive team environment.
- Why this job: Make a real impact by delivering high-quality data solutions in client-facing projects.
- Qualifications: Strong experience in Azure data engineering, ETL/ELT processes, and CI/CD.
- Other info: Join a culture that values meaningful delivery and professional development.
The predicted salary is between 60000 - 80000 £ per year.
A UK based technology consultancy is seeking a Lead Azure Data Engineer to build and optimise modern data platforms in client facing environments. This role involves delivering high-quality data engineering solutions across the Azure ecosystem using tools like Databricks, PySpark, and Azure Data Factory. Strong hands-on experience with Azure data engineering, ETL/ELT processes, and CI/CD is essential. The company offers a hybrid work model and focuses on culture, meaningful delivery, and career growth.
Azure Data Platform Lead — Modern, Scalable Pipelines employer: Link Xperts
Contact Detail:
Link Xperts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Platform Lead — Modern, Scalable Pipelines
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with Azure data platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, PySpark, and Azure Data Factory. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your ETL/ELT processes and CI/CD knowledge. Be ready to discuss how you've implemented these in past roles, as real-world examples can make a big impact.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team and help us deliver meaningful solutions in the Azure ecosystem.
We think you need these skills to ace Azure Data Platform Lead — Modern, Scalable Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure data engineering and tools like Databricks and PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building modern data platforms and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Hands-On Experience: We’re looking for strong hands-on experience, so make sure to detail your work with ETL/ELT processes and CI/CD in your application. Share specific examples that demonstrate your expertise and problem-solving skills.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Link Xperts
✨Know Your Azure Stuff
Make sure you brush up on your Azure data engineering skills. Familiarise yourself with tools like Databricks, PySpark, and Azure Data Factory. Be ready to discuss your hands-on experience with ETL/ELT processes and how you've implemented CI/CD in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in client-facing environments. Think about how you optimised data platforms or solved complex data issues. This will demonstrate your ability to deliver high-quality solutions under pressure.
✨Understand the Company Culture
Research the consultancy's values and culture. They focus on meaningful delivery and career growth, so be prepared to discuss how you align with these principles. Show enthusiasm for contributing to a positive work environment and your desire for professional development.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. Inquire about their approach to modern data platforms and how they support their employees' growth. This shows your genuine interest in the position and helps you assess if it's the right fit for you.