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- Tasks: Shape a modern data platform and ensure data quality across multiple systems.
- Company: Join a growing, data-driven organisation with a focus on innovation.
- Benefits: Competitive salary, remote work, and potential for permanent position.
- Other info: Occasional travel to London for team meetings; excellent career growth opportunities.
- Why this job: Make a real impact in data integrity and reliability while working remotely.
- Qualifications: Experience with T-SQL, ETL/ELT pipelines, and a keen eye 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. You must be willing for some occasional travel to London, as required.
Remote working/work at home options are available for this role.
Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Reading 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 Reading
✨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 you an edge over other candidates.
✨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. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Reading
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 analytics. Share specific examples of how you've tackled data issues in the past – we love a good story!
Show Off Your Technical Skills: Since this role requires strong technical skills, make sure to mention your experience with Microsoft Fabric, Power BI, and Python. If you’ve worked on any cool projects using these tools, let us know!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
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 sample queries can really help you feel confident.
✨Showcase Your ETL/ELT Experience
Be ready to talk about your experience with ETL/ELT pipelines. Think of specific examples where you’ve successfully integrated data from multiple sources. 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, it’s a good idea to familiarise yourself with its features and benefits. If you have experience with similar platforms, be sure to mention that too. Showing that you’re proactive about learning new tools can set you apart.
✨Prepare for Data Quality Discussions
Data quality is a key focus for this role, so be prepared to discuss your approach to ensuring data integrity. Think about specific instances where you identified and resolved data issues, and how you validated data accuracy. This will demonstrate your attention to detail and commitment to quality.