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- Tasks: Support the development of a modern data platform and ensure data quality and integrity.
- Company: NST - Nova Source Technologies, a forward-thinking tech company.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Enjoy occasional team meet-ups in London and thrive in a dynamic environment.
- Why this job: Shape innovative data solutions and make a real impact in the tech industry.
- Qualifications: Experience with T-SQL, ETL/ELT pipelines, Python, and Power BI required.
The predicted salary is between 40000 - 50000 £ per year.
NST - Nova Source Technologies is looking for an Analytics & Data Quality Engineer for a remote position in the UK on a 1-year FTC basis. The role involves supporting the development of a modern data platform utilizing Microsoft Fabric, focusing on data quality, integrity, and reliability.
Applicants should have strong experience with:
- T-SQL
- ETL/ELT pipelines
- Python
- Power BI
The position also requires occasional travel to London for team meetings. This is a great opportunity to help shape the organization’s data solutions.
Remote Analytics & Data Quality Engineer (1-Year FTC) employer: NST - Nova Source Technologies
Contact Detail:
NST - Nova Source Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Analytics & Data Quality Engineer (1-Year FTC)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at NST or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your T-SQL, ETL/ELT pipelines, and Power BI projects. This gives us a tangible way to see what you can do and how you can contribute to our data solutions.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and data quality concepts. We want to see how you think and solve problems, so be ready to discuss your approach to ensuring data integrity and reliability.
✨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, it shows you’re genuinely interested in joining our team at NST.
We think you need these skills to ace Remote Analytics & Data Quality Engineer (1-Year FTC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with T-SQL, ETL/ELT pipelines, Python, and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our data platform. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data quality issues in the past. We’re looking for someone who can ensure data integrity and reliability, so share those success stories with us!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at NST - Nova Source Technologies
✨Know Your Tech Inside Out
Make sure you brush up on your T-SQL, ETL/ELT pipelines, Python, and Power BI skills. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Showcase Your Data Quality Mindset
Since the role focuses on data quality, integrity, and reliability, prepare examples that highlight how you've ensured data accuracy in past projects. Discuss any challenges you faced and how you overcame them to maintain high standards.
✨Understand Microsoft Fabric
Familiarise yourself with Microsoft Fabric and its applications in modern data platforms. Being able to speak about its features and how it can enhance data solutions will demonstrate your proactive approach and genuine interest in the role.
✨Be Ready for Team Dynamics
As there will be occasional travel to London for team meetings, think about how you work in a team setting. Prepare to discuss your collaboration experiences and how you adapt to different working environments, especially in a remote setup.