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- Tasks: Join a data-driven team to enhance data quality and analytics using T-SQL and Python.
- Company: A growing 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 dynamic 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 Liverpool 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 Liverpool
✨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 by brushing up on your T-SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions related to data analytics and quality.
✨Tip Number 3
Showcase your projects! If you've worked on any data-related projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, especially with tools like Power BI and Microsoft Fabric.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to contribute to our data-driven mission.
We think you need these skills to ace Analytics & Data Quality Engineer - 1-Year FTC, T-SQL, Python, Remote in Liverpool
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. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data quality issues or improved processes in the past. We love seeing candidates who can think critically and drive improvements in data management.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
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.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they measure success in their analytics initiatives. This not only shows your interest but also helps you gauge if the company is the right fit for you.