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- Tasks: Join a data-driven team to enhance data quality and analytics using T-SQL and Python.
- Company: Dynamic organisation focused on modern data solutions and innovation.
- Benefits: Competitive salary, remote work flexibility, and comprehensive benefits package.
- Other info: 1-year FTC with opportunities for professional growth in a supportive environment.
- Why this job: Make a real impact by developing a cutting-edge data platform with the latest technologies.
- Qualifications: Experience in T-SQL, Python, and data analytics is essential.
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.
Key skills required:
- T-SQL
- Data Analytics
- ETL/ELT
- Data Quality
- Microsoft Fabric
- Power BI
- Python
Location: Remote, UK
Salary: £50,000 - £65,000 + Benefits
Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Manchester employer: Employer near you
Contact Detail:
Employer near you 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews! Brush up on your T-SQL and Python skills, and be ready to discuss your experience with data quality and analytics. We want you to shine and show them why you're the perfect fit for their team.
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a personal project or something from your previous job, having tangible examples of your work with ETL/ELT processes or Power BI can really set you apart. We love seeing what you can do!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who are eager to contribute to our growing data-driven organisation.
We think you need these skills to ace Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with T-SQL, Python, and data analytics. 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 Analytics & Data Quality Engineer position and how you can contribute to our data-driven culture at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data quality issues or improved data processes in the past. We love seeing candidates who can think critically and drive improvements!
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 Employer near you
✨Know Your Tech Stack
Make sure you’re well-versed in T-SQL, Python, and any other tools mentioned in the job description. Brush up on your ETL/ELT processes and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Data Quality Skills
Prepare examples of how you've ensured data quality in previous roles. Be ready to explain your approach to identifying and resolving data issues, as this is crucial for the role.
✨Familiarise Yourself with Microsoft Fabric
Since the role involves working with Microsoft Fabric, do some research on its features and benefits. Being able to discuss how it can enhance data analytics will show your enthusiasm and preparedness.
✨Prepare Questions About the Company
Think of insightful questions to ask about the company’s data strategy and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.