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- Tasks: Build reliable data pipelines and workflows using Azure Data Factory.
- Company: Leading law firm in Leeds with a focus on data innovation.
- Benefits: Hybrid working model and a comprehensive benefits package.
- Why this job: Join a dynamic team and enhance your data engineering skills.
- Qualifications: Strong SQL skills and experience in a data role.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 45000 - 55000 £ per year.
A leading law firm in Leeds is looking for a Data Engineer to enhance their data capabilities. In this role, you will support the development of data pipelines and workflows using Azure Data Factory, write SQL queries, assist with data modelling, and work closely with stakeholders.
Essential qualifications include strong SQL skills and experience in a data role. The firm offers a hybrid working model and a comprehensive benefits package.
Data Engineer: Build Reliable Pipelines & Data Foundations (Hybrid) in Leeds employer: Stowe Family Law LLP
Contact Detail:
Stowe Family Law LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Reliable Pipelines & Data Foundations (Hybrid) in Leeds
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the law firm on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your SQL queries and any data pipelines you've built. This will help us demonstrate our hands-on experience during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers, especially those related to Azure Data Factory and data modelling. We want to be ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily.
We think you need these skills to ace Data Engineer: Build Reliable Pipelines & Data Foundations (Hybrid) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and any relevant experience in data roles. We want to see how your background aligns with the Data Engineer position, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to enhancing the firm's data capabilities. Let us know what makes you the perfect fit!
Showcase Your Technical Skills: Since this role involves working with Azure Data Factory and data modelling, make sure to mention any relevant projects or experiences. We love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Stowe Family Law LLP
✨Know Your SQL Inside Out
Since strong SQL skills are essential for this role, make sure you brush up on your SQL queries before the interview. Practice writing complex queries and be ready to discuss your past experiences with SQL in detail.
✨Familiarise Yourself with Azure Data Factory
As you'll be working with Azure Data Factory, it’s crucial to understand its functionalities. Review how to build data pipelines and workflows using this tool, and be prepared to share any relevant projects you've worked on.
✨Understand Data Modelling Concepts
Data modelling is a key part of the job, so ensure you can explain different data models and their applications. Think of examples from your previous roles where you successfully implemented data models.
✨Engage with Stakeholders
This role involves working closely with stakeholders, so be ready to discuss how you’ve collaborated with others in the past. Highlight your communication skills and how you’ve managed expectations or gathered requirements effectively.