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- Tasks: Optimise data extraction and develop integrations with robust error handling.
- Company: Leading online travel agency based in Windsor.
- Benefits: Well-being days, enhanced pension plans, and modern office facilities.
- Why this job: Shape data practices in a growing organisation and make a real impact.
- Qualifications: Experience with Databricks or Snowflake and foundational SQL skills.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 50000 - 65000 £ per year.
A leading online travel agency is seeking a Data Engineer based in Windsor. The role involves optimizing data extraction methods, developing integrations with robust error handling, and ensuring data security and structure.
Candidates should have experience with Databricks or Snowflake and foundational SQL skills.
Additional benefits include well-being days, enhanced pension plans, and modern office facilities. This position offers a chance to shape data practices in a growing organization.
Fabric Data Engineer – Hybrid, Lakehouse & BI Pipelines in Windsor employer: Golfbreaks
Contact Detail:
Golfbreaks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Engineer – Hybrid, Lakehouse & BI Pipelines in Windsor
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got experience with Databricks or Snowflake, make sure to highlight that in conversations. Share specific examples of how you've optimised data extraction methods or developed integrations.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL skills. We all know that foundational SQL is key, so practice some common queries and be ready to discuss how you've used them in past projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Fabric Data Engineer – Hybrid, Lakehouse & BI Pipelines in Windsor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks or Snowflake and showcases your foundational SQL skills. We want to see how your background aligns with the role, so don’t hold back on relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to optimising data extraction methods and ensuring data security.
Showcase Problem-Solving Skills: In your application, mention specific examples where you've developed integrations with robust error handling. We love seeing how you tackle challenges and improve processes, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Golfbreaks
✨Know Your Data Tools
Make sure you brush up on your experience with Databricks and Snowflake. Be ready to discuss specific projects where you've used these tools, focusing on how you optimised data extraction methods and handled errors.
✨Showcase Your SQL Skills
Since foundational SQL skills are a must, prepare to demonstrate your knowledge. Think of examples where you've written complex queries or improved data structure, and be ready to explain your thought process.
✨Understand Data Security
Data security is crucial in this role. Familiarise yourself with best practices and be prepared to discuss how you've ensured data integrity and security in past projects. This will show that you take data protection seriously.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data practices and how they envision the role evolving. This shows your genuine interest in shaping their data strategies.