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- Tasks: Lead the design and migration of ETL processes using SQL and T-SQL.
- Company: Join Test Triangle, a forward-thinking tech company in Northern Ireland.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and best practices.
- Why this job: Make a real impact on data management and coach future tech talent.
- Qualifications: Strong experience in SQL, T-SQL, and ETL processes.
The predicted salary is between 40000 - 50000 £ per year.
Test Triangle is seeking an experienced Hands-on Fabric Engineer based in Douglas, Northern Ireland. The successful candidate will lead the design and migration of ETL processes from Qlik to Fabric, utilizing strong SQL and T-SQL skills.
Responsibilities include:
- Making informed decisions on Fabric components
- Coaching analysts and developers
- Documenting best practices
This role is vital for achieving efficient data management outcomes across the team's projects.
Fabric Data Engineer — ETL, SQL, Qlik-to-Fabric Migration employer: Test Triangle
Contact Detail:
Test Triangle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Engineer — ETL, SQL, Qlik-to-Fabric Migration
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Fabric or ETL processes. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work with SQL and T-SQL, make sure to have them ready. It’s a great way to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on common questions related to data migration and ETL processes. We recommend practising your answers out loud to build confidence and clarity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Fabric Data Engineer — ETL, SQL, Qlik-to-Fabric Migration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL processes and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the Fabric Engineer role and how your background makes you the perfect fit for our team at Test Triangle.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data management or migration projects. We love seeing candidates who can think critically and come up with innovative solutions!
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!
How to prepare for a job interview at Test Triangle
✨Know Your ETL Inside Out
Make sure you brush up on your ETL processes, especially how they work in both Qlik and Fabric. Be ready to discuss specific examples of migrations you've handled and the challenges you faced. This will show your hands-on experience and problem-solving skills.
✨SQL Skills Are Key
Since strong SQL and T-SQL skills are crucial for this role, prepare to demonstrate your knowledge. You might be asked to write queries or explain how you would optimise them. Practise common SQL scenarios and be ready to talk through your thought process.
✨Showcase Your Coaching Experience
This role involves coaching analysts and developers, so think of examples where you've successfully guided others. Be prepared to share your approach to mentoring and how you ensure best practices are followed within a team.
✨Documenting Best Practices
Highlight your experience with documentation during the interview. Discuss how you’ve created or improved documentation processes in previous roles. This will demonstrate your understanding of the importance of clear communication and knowledge sharing in data management.