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- Tasks: Engineer scalable ELT pipelines and optimise orchestration using Lakeflow and Azure Data Factory.
- Company: Leading data solutions provider based in Glasgow with a focus on modern data platforms.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a transformation project and influence architecture in a growing data function.
- Qualifications: Extensive experience with Azure, PySpark, and Spark SQL required.
- Other info: Be part of an innovative team driving data solutions forward.
The predicted salary is between 48000 - 72000 £ per year.
A leading data solutions provider based in Glasgow is seeking a Data Engineer to join their transformation project, moving towards a modern data platform. The role will involve engineering scalable ELT pipelines, implementing ingestion patterns, and optimising orchestration using Lakeflow and Azure Data Factory.
Ideal candidates will have extensive experience delivering production workloads on Azure and strong expertise in PySpark and Spark SQL. This is a great opportunity to influence architecture and engineering standards in a growing data function.
Senior Data Engineer: Azure Databricks Lakehouse Pipelines in Glasgow employer: Head Resourcing
Contact Detail:
Head Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Azure Databricks Lakehouse Pipelines in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the culture and maybe even a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your experience with Azure, PySpark, and Spark SQL. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and be ready to discuss your past projects in detail. We want to impress them!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Engineer: Azure Databricks Lakehouse Pipelines in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, PySpark, and Spark SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this transformation project and how you can contribute to our modern data platform. Let us know what makes you the perfect fit!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially around engineering scalable ELT pipelines. We love seeing candidates who can think critically and adapt to new situations!
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 out on any important updates from us!
How to prepare for a job interview at Head Resourcing
✨Know Your Tech Inside Out
Make sure you brush up on your Azure and Databricks knowledge. Be ready to discuss your experience with ELT pipelines, ingestion patterns, and orchestration tools like Lakeflow and Azure Data Factory. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous projects, especially those involving PySpark and Spark SQL. Think of a couple of scenarios where you optimised processes or improved performance, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research the company’s transformation project and their goals for the modern data platform. This will help you align your answers with their objectives and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team. Inquire about their current architecture, the challenges they face, or how they measure success in their data function. This shows your enthusiasm and helps you gauge if it’s the right fit for you.
