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- Tasks: Design and maintain ETL pipelines using Azure Data Factory and SQL Server.
- Company: Leading data solutions company in Reading with an innovative team.
- Benefits: Competitive salary, 10% bonus, private medical care, and hybrid work.
- Why this job: Join a dynamic team and deliver impactful data insights.
- Qualifications: Strong experience in SQL, Azure technologies, and data integration.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading data solutions company in Reading is seeking a skilled Data Engineer/Analyst to join our innovative data team. In this hybrid role, you will design and maintain ETL pipelines using Azure Data Factory and SQL Server, collaborating with stakeholders to deliver impactful data insights.
The ideal candidate has strong experience in SQL, Azure technologies, and data integration.
Competitive salary and benefits offered, including a 10% bonus and private medical care.
Azure Data Engineer: ETL, SQL & BI Specialist in Reading employer: Ignite Digital
Contact Detail:
Ignite Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer: ETL, SQL & BI Specialist in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work with Azure or ETL. 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 best ETL projects and SQL queries. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. We recommend practising your answers to technical scenarios, especially those involving Azure Data Factory and SQL Server.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Azure Data Engineer: ETL, SQL & BI Specialist in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, SQL Server, and ETL processes. We want to see how your skills align 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 engineering and how your background makes you a perfect fit for our innovative team. Let us know what excites you about this role!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data integration or pipeline design. We love seeing candidates who can think critically and deliver impactful insights through their work.
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Ignite Digital
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data Factory and SQL Server. Be prepared to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL Expertise
Be ready to explain your experience with designing and maintaining ETL pipelines. Think of specific examples where your work led to impactful data insights, and be prepared to discuss the tools and methodologies you used.
✨Collaborate Like a Pro
Since this role involves working closely with stakeholders, highlight your collaboration skills. Share examples of how you've successfully worked with different teams to deliver data solutions that meet business needs.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on SQL queries and data integration techniques, and practice explaining complex concepts in simple terms. This will show your ability to communicate effectively with both technical and non-technical audiences.
