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For Companies At a Glance
- Tasks: Optimise data workflows and implement quality frameworks using Azure Data Factory and Snowflake.
- Company: Global workforce solutions company based in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Leverage your data skills in a dynamic environment and make a real impact.
- Qualifications: Advanced SQL, Python automation experience, and familiarity with Azure Data Factory.
- Other info: Certifications in Azure or Snowflake are a plus; join a collaborative team!
The predicted salary is between 36000 - 60000 £ per year.
A global workforce solutions company in London is seeking a skilled data-focused professional for a hybrid role. The ideal candidate will have advanced SQL expertise, hands-on experience with Python for automation, and familiarity with Azure Data Factory and Snowflake.
Responsibilities include:
- Optimizing data ingestion workflows
- Implementing data quality frameworks
Certifications in Azure or Snowflake are strong advantages. Join us to leverage your data skills in a dynamic environment.
Hybrid Azure Data Factory Engineer: Data Warehousing & Automation employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Azure Data Factory Engineer: Data Warehousing & Automation
✨Tip Number 1
Network like a pro! Reach out to professionals in the data field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Python scripts, and any projects involving Azure Data Factory or Snowflake. This gives us a tangible way to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your answers to technical scenarios, especially those related to data ingestion workflows and quality frameworks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Hybrid Azure Data Factory Engineer: Data Warehousing & Automation
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your advanced SQL expertise in your application. We want to see how you've used SQL in real-world scenarios, so don’t hold back on those examples!
Python for Automation is Key: If you’ve got hands-on experience with Python, let us know! Share specific projects where you’ve automated processes, as this will really catch our eye.
Familiarity with Azure and Snowflake: Mention any experience you have with Azure Data Factory and Snowflake. If you’ve got certifications, flaunt them! They’re a strong advantage that can set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and have a solid understanding of Python, especially how it can be used for automation. Be ready to discuss specific projects where you've optimised data workflows or implemented data quality frameworks.
✨Familiarise Yourself with Azure and Snowflake
Since familiarity with Azure Data Factory and Snowflake is key, take some time to review their functionalities and best practices. If you have any certifications, be prepared to talk about how they’ve helped you in your previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data ingestion and quality. Think of examples from your past experience where you successfully tackled similar challenges and be ready to explain your thought process.
✨Show Enthusiasm for the Role
Let your passion for data shine through! Companies love candidates who are genuinely excited about the work they do. Share why you’re interested in this hybrid role and how you see yourself contributing to their team.
