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- Tasks: Join a data-driven team to enhance data quality and build a modern data platform.
- Company: Dynamic organisation focused on data integrity and innovation.
- Benefits: Competitive salary, remote work, and potential for permanent position.
- Other info: Remote role with occasional travel to London for team collaboration.
- Why this job: Shape the future of data while working with cutting-edge technologies.
- Qualifications: Experience in T-SQL, ETL/ELT, and a passion for data quality.
The predicted salary is between 50000 - 65000 £ 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 working, with occasional travel to London for team meetings. Initially a 1-year FTC, with potential to transfer to permanent.
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 is essential. You must be willing for some occasional travel to London, as required.
Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Cambridge employer: NST Recruitment Ltd
Contact Detail:
NST Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your T-SQL queries, ETL/ELT pipelines, and any data quality projects you've worked on. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Be ready to discuss your experience with Microsoft Fabric, Power BI, and Python. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data quality and analytics. It shows initiative and enthusiasm!
We think you need these skills to ace Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Cambridge
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 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 passionate about data quality and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since we’re looking for someone with experience in Python and Microsoft Fabric, make sure to mention any relevant projects or tools you’ve used. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at NST Recruitment Ltd
✨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 improved data quality or efficiency in past projects. Practising some common T-SQL problems can really help you stand out.
✨Showcase Your ETL/ELT Experience
Be ready to talk about your experience with ETL/ELT pipelines. Have specific examples of projects where you designed or improved these processes. Highlight any challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Familiarise Yourself with Microsoft Fabric
Since this role involves working with Microsoft Fabric, do some research on its features and benefits. If you’ve used similar platforms, be prepared to draw comparisons and explain how that experience will help you adapt quickly to Microsoft Fabric.
✨Prepare for Data Quality Discussions
Data quality is a key focus for this role, so think about how you've ensured data integrity in your previous work. Prepare to discuss specific instances where you identified and resolved data issues, demonstrating your attention to detail and analytical skills.