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- Tasks: Build and maintain robust data pipelines in Azure and develop workflows in Databricks.
- Company: Leading recruitment agency with a focus on innovative data solutions.
- Benefits: 6-month contract with potential for extension and competitive pay.
- Why this job: Join a dynamic team and make an impact with your data engineering skills.
- Qualifications: Strong experience with Azure tools, SQL, and data transformation.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 40000 - 50000 £ per year.
A leading recruitment agency is seeking a skilled data engineer in West Yorkshire to build and maintain robust data pipelines within Azure. You will deliver reliable data solutions by developing workflows in Databricks and transforming data from various sources.
Ideal candidates will have strong experience with Azure tools, proven skills in SQL and data transformation, and an ability to translate requirements into effective data solutions.
This role offers a 6-month contract with a potential to extend.
Azure Data Engineer: Modern Data Pipelines & Reporting in London employer: Big Red Recruitment Midlands Limited
Contact Detail:
Big Red Recruitment Midlands Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer: Modern Data Pipelines & Reporting in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data engineering field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Azure Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data transformation techniques. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for skilled data engineers like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Azure Data Engineer: Modern Data Pipelines & Reporting in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure tools and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing your data transformation expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the role. Share specific examples of how you've built and maintained data pipelines in the past – we love a good story!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to mention them! Whether it’s a personal project or something from a previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Big Red Recruitment Midlands Limited
✨Know Your Azure Tools
Make sure you brush up on your knowledge of Azure tools, especially those relevant to data engineering. Familiarise yourself with Databricks and how it integrates with Azure, as well as any specific features that might come up during the interview.
✨Showcase Your SQL Skills
Prepare to discuss your experience with SQL in detail. Be ready to provide examples of complex queries you've written or challenges you've faced while transforming data. This will demonstrate your technical proficiency and problem-solving abilities.
✨Understand Data Transformation
Be prepared to explain your approach to data transformation. Think about how you would handle different data sources and what strategies you would use to ensure data quality and reliability in your pipelines.
✨Translate Requirements Effectively
Practice articulating how you translate business requirements into technical solutions. Use examples from your past work to illustrate your thought process and how you ensure that the final data solutions meet the needs of stakeholders.