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- Tasks: Join a team to develop and enhance a modern data platform while ensuring data quality.
- Company: A growing, data-driven organisation with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and potential for permanent position.
- Other info: Opportunity for career growth and occasional travel to London for team meetings.
- Why this job: Make a real impact by shaping data integrity and trust in a dynamic environment.
- Qualifications: Experience with T-SQL, ETL/ELT pipelines, and a keen eye for data quality.
The predicted salary is between 40000 - 50000 £ per year.
This is an excellent opportunity to join a growing, data-driven organisation on a 1-year FTC, supporting the development of a modern data platform built on Microsoft Fabric, while driving improvements in data quality, integrity, and reliability across multiple source systems. The role is remote, with occasional travel to London for team meetings. Initially a 1-year FTC, with potential to transfer to permanent.
As an Analytics & Data Quality Engineer, you will play a key role in delivering end-to-end data solutions, focused on ingesting, transforming, and validating data across the organisation’s platform. Proven strong experience working with T-SQL and ETL/ELT pipelines is essential, as is some hands-on capability in Python and Power BI. You will also take ownership of configuring and enhancing data quality rules, ensuring data is accurate, consistent, and fit for business use.
With a strong attention to detail and a naturally inquisitive mindset, you will go beyond data movement—analysing datasets, identifying anomalies, and driving improvements in data integrity and trust.
Key Skills:
- Strong experience with T-SQL and complex data querying.
- Proven background building ETL/ELT pipelines and data integrations.
- Experience working with Microsoft Fabric or similar modern data platforms.
- Some working knowledge of Python for data processing and validation.
- Experience with Power BI or comparable reporting tools.
- Strong focus on data quality, validation, and data integrity.
- High attention to detail with the ability to investigate and challenge data issues.
This is a critical role in shaping a modern data platform, ensuring data is not only delivered but trusted. You must have proven experience with T-SQL, ETL/ELT pipelines, and a strong focus on data quality and validation. You must be willing for some occasional travel to London, as required.
Analytics & Data Quality Engineer (1-Year FTC) - Remote, UK employer: NST - Nova Source Technologies
Contact Detail:
NST - Nova Source Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & Data Quality Engineer (1-Year FTC) - Remote, UK
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your T-SQL queries, ETL/ELT pipelines, and any cool projects you've done with Python or Power BI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data quality scenarios. Be ready to discuss how you’ve tackled data integrity issues in the past. We want to see your problem-solving skills in action!
✨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 are keen to join us directly.
We think you need these skills to ace Analytics & Data Quality Engineer (1-Year FTC) - Remote, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with T-SQL, ETL/ELT pipelines, and data quality. 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 passionate about data quality and analytics. Share specific examples of how you've improved data integrity in past roles—this will really grab our attention.
Show Off Your Technical Skills: Don’t forget to mention your hands-on experience with Python and Power BI. We love seeing candidates who can demonstrate their technical prowess, so include any relevant projects or tools you’ve used that relate to the job description.
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 T-SQL Inside Out
Make sure you brush up on your T-SQL skills before the interview. Be prepared to discuss complex queries you've built and how they’ve impacted data quality. Practising some real-world scenarios can help you articulate your experience effectively.
✨Showcase Your ETL/ELT Expertise
Be ready to talk about your experience with ETL/ELT pipelines. Think of specific projects where you’ve designed or improved these processes. Highlight any challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Demonstrate Your Data Quality Focus
Since data integrity is key for this role, prepare examples that illustrate your attention to detail. Discuss how you’ve implemented data quality rules in past roles and the impact they had on the organisation’s data reliability.
✨Familiarise Yourself with Microsoft Fabric
If you have experience with Microsoft Fabric, make sure to highlight it. If not, do a bit of research to understand its features and benefits. Showing that you’re proactive about learning new tools will impress the interviewers.