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- Tasks: Join a large-scale transformation project as an Azure Data Engineer.
- Company: Market-leading client with a focus on innovation and inclusivity.
- Benefits: Competitive daily rate, remote work, and flexible onsite requirements.
- Why this job: Make a real impact in data engineering with cutting-edge technologies.
- Qualifications: Experience with Azure, Databricks, and strong ETL/ELT skills required.
- Other info: Diverse and inclusive workplace with support for all applicants.
Working with a market-leading client who are looking for an Azure Data Engineer contractor to work on a large-scale transformation project.
Data Engineer, key skills:
- Good knowledge of a data scripting language
- Strong understanding of ETL/ELT processes
- Experience of Azure
- MUST have Databricks experience
- Strong experience with relational and big data engines
- Knowledge of good data pipeline implementation and design (Concepts such as Kimball/Star Schema)
- Strong understanding of data warehousing concepts and modelling
- Proper documentation
- Good understanding of Agile ways of working
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Azure Data Engineer employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL/ELT processes and data pipeline designs. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and data warehousing concepts. Be ready to discuss how you've implemented these in past projects, as it shows you're not just familiar but experienced.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented Azure Data Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 and Databricks. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Showcase Your ETL/ELT Knowledge: Since ETL/ELT processes are key for this role, include specific examples of how you've implemented these in past projects. We love seeing real-world applications of your skills!
Documentation is Key: Good documentation is crucial in data engineering. When applying, mention how you’ve maintained proper documentation in your previous roles. It shows us you understand the importance of clarity and organisation.
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 this exciting opportunity!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure and Databricks. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Master the Data Pipeline Concepts
Familiarise yourself with data pipeline implementation and design concepts like Kimball and Star Schema. Be prepared to explain how you've applied these in past roles, as this will show your depth of understanding.
✨Showcase Your Documentation Skills
Proper documentation is key in data engineering. Bring examples of your documentation work or be ready to discuss how you ensure clarity and accuracy in your data processes.
✨Embrace Agile Methodologies
Since the role requires a good understanding of Agile ways of working, think of examples from your experience where you've successfully worked in an Agile environment. This will demonstrate your adaptability and teamwork skills.