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- Tasks: Design and optimise data architecture while maintaining data pipelines.
- Company: Leading data and analytics firm in Warrington with a focus on innovation.
- Benefits: Salary between £34,000 and £38,000, hybrid working, and extra leave options.
- Why this job: Join a dynamic team and make an impact in the data landscape.
- Qualifications: Strong SQL skills and experience with Azure ETL tools required.
- Other info: Great opportunity for career growth in a collaborative environment.
The predicted salary is between 34000 - 38000 £ per year.
A leading data and analytics firm in Warrington is seeking a skilled Data Engineer to design and optimize data architecture.
Key responsibilities include:
- Maintaining data pipelines
- Engaging stakeholders across regions
Essential qualifications include:
- Strong SQL skills
- Experience with Azure ETL tools
The company offers a salary between £34,000 and £38,000, along with benefits such as hybrid working and additional leave options.
Senior Data Engineer: Global Data Architecture & ETL in Warrington employer: Brookson Group - (A People2.0 Company)
Contact Detail:
Brookson Group - (A People2.0 Company) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Global Data Architecture & ETL in Warrington
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your SQL and Azure ETL projects. This will give us an edge when discussing our experience during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help us articulate our thoughts clearly and confidently when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we might find some exclusive opportunities there!
We think you need these skills to ace Senior Data Engineer: Global Data Architecture & ETL in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with Azure ETL tools. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how you can engage stakeholders effectively. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data engineering. We love seeing how you think critically and optimise data pipelines, so share those success stories!
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!
How to prepare for a job interview at Brookson Group - (A People2.0 Company)
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects. Practising common SQL problems can really help you stand out.
✨Familiarise Yourself with Azure ETL Tools
Since the role requires experience with Azure ETL tools, take some time to review the specific tools mentioned in the job description. If possible, try to demonstrate your knowledge of these tools through examples from your previous work.
✨Engage with Stakeholders
The job involves engaging stakeholders across regions, so think about how you’ve successfully communicated with different teams in the past. Prepare examples that showcase your ability to collaborate and gather requirements effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Consider asking about their current data architecture challenges or how they envision the future of their data strategy.
