At a Glance
- Tasks: Build semantic models and deliver business-ready datasets in a fully remote role.
- Company: Join Lorien's Data Centre of Excellence with a focus on innovation.
- Benefits: Competitive rates up to £700 per day and potential for permanent role.
- Other info: Opportunity for occasional travel to London or Flintshire.
- Why this job: Make an impact in data analytics while enjoying the flexibility of remote work.
- Qualifications: Advanced SQL skills and experience with Microsoft Fabric required.
The predicted salary is between 63000 - 70000 £ per year.
Lorien is seeking an experienced Data Analytics Engineer to join their Data Centre of Excellence on a fully remote basis, with an initial contract length of 3 months that may lead to a permanent role.
Responsibilities include:
- Building semantic models
- Creating a KPI library
- Delivering business-ready datasets
Required skills include:
- Advanced SQL
- A background in analytics or BI engineering
- Experience with Microsoft Fabric
Competitive rates of up to £700 per day offered, with occasional travel to London or Flintshire.
Remote Data Analytics Engineer (Azure Fabric, SQL & PySpark) in London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Analytics Engineer (Azure Fabric, SQL & PySpark) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field, especially those who work with Azure Fabric or SQL. 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, especially those involving PySpark and KPI libraries. 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 common data analytics scenarios. Think about how you would approach building semantic models or delivering business-ready datasets. We want you to feel confident and ready to impress!
✨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 the initiative to connect directly with us.
We think you need these skills to ace Remote Data Analytics Engineer (Azure Fabric, SQL & PySpark) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, analytics, and Microsoft Fabric. We want to see how your skills match the job description, 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 the perfect fit for the Data Analytics Engineer role. Share specific examples of your work with semantic models and KPI libraries.
Showcase Your Technical Skills: Since this role requires advanced SQL and PySpark knowledge, make sure to mention any relevant certifications or projects. We love seeing how you’ve applied these skills in real-world scenarios!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and get familiar with Microsoft Fabric. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your experience in building semantic models and creating KPI libraries. Think about specific datasets you've worked with and how your contributions made a difference in the business context.
✨Be Ready for Scenario Questions
Expect questions that ask you to solve hypothetical problems or scenarios related to data analytics. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and problem-solving abilities.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, the projects you'll be working on, or the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.