At a Glance
- Tasks: Lead data virtualization projects using Starburst and Denodo to optimise data performance.
- Company: Join a forward-thinking company embracing modern data solutions.
- Benefits: Flexible hybrid work, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Be at the forefront of data innovation and make a significant impact.
- Qualifications: 10+ years in data virtualization with strong skills in SQL and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Location: Hybrid (United Kingdom)
Type: Freelance
Requirements:
- 10+ Years total experience in Data Virtualization & Data Engineering
- 8+ Years (Minimum) strong, hands-on production experience with Starburst Enterprise or Denodo
- Advanced SQL, expert-level query optimization & performance tuning
- Proven experience with Snowflake & Databricks on cloud platforms
- Proficiency in Python or Scala for automation & data pipelines
Why apply:
- Work on a modern stack (Starburst/Denodo + Snowflake/DBX)
Data Virtualization Lead in London employer: GAPP-Partners
Join a forward-thinking company that values innovation and expertise in data virtualization. With a hybrid work model in the UK, we offer a collaborative culture that encourages professional growth and development, alongside competitive freelance opportunities. Our commitment to cutting-edge technology ensures you will be at the forefront of the industry, working with a modern stack that empowers you to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Virtualization Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data virtualization space, especially those who work with Starburst or Denodo. 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 projects with SQL, Python, and cloud platforms like Snowflake and Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your query optimisation and performance tuning techniques. Be ready to discuss real-world scenarios where you've solved complex data challenges using Starburst or Denodo.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive freelance opportunities that might not be listed elsewhere. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Virtualization Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Data Virtualization and the specific tools mentioned, like Starburst and Denodo. We want to see how your skills match up with what we're looking for!
Show Off Your Projects:Include examples of projects where you've used advanced SQL or worked with cloud platforms like Snowflake and Databricks. This helps us understand your hands-on experience and how you tackle real-world challenges.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's relevant. Let us see your expertise without getting lost in technical terms!
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 GAPP-Partners
✨Know Your Tech Inside Out
Make sure you’re well-versed in Starburst and Denodo. Brush up on your advanced SQL skills and be ready to discuss query optimisation and performance tuning. The more confident you are with the tech stack, the better you'll impress them!
✨Showcase Your Cloud Experience
Since they’re looking for someone with experience in Snowflake and Databricks, prepare specific examples of how you've used these platforms in past projects. Highlight any challenges you faced and how you overcame them to demonstrate your problem-solving skills.
✨Demonstrate Your Scripting Skills
Be ready to talk about your proficiency in Python or Scala. Consider preparing a mini-case study or example of a data pipeline you’ve built using these languages. This will show that you can not only talk the talk but also walk the walk!
✨Ask Insightful Questions
Prepare thoughtful questions about their current data virtualisation challenges or future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it makes for a great conversation starter!
