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- Tasks: Ensure data reliability and accessibility while optimising data quality in a collaborative team.
- Company: A social business in Manchester dedicated to equity and positive change.
- Benefits: Competitive salary up to £55,000 and flexible remote work options.
- Why this job: Make a real impact by developing data solutions for social good.
- Qualifications: Experience in data infrastructure and a passion for problem-solving.
- Other info: Join a dynamic team focused on creating positive social impact.
The predicted salary is between 33000 - 77000 £ per year.
A social business in Manchester is seeking a Data Engineer to ensure data reliability and accessibility while working within a collaborative team. This role involves developing and maintaining the data warehouse and optimizing data quality. Candidates should enjoy problem-solving and possess experience in data infrastructure. The position offers a competitive salary of up to £55,000 and the flexibility to work from home. Join a company committed to equity and positive change.
Data Engineer: Azure Data Warehouse for Social Impact in Manchester employer: Big Life group
Contact Detail:
Big Life group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Azure Data Warehouse for Social Impact in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those that highlight problem-solving and data infrastructure. This will help us see your practical experience in action.
✨Tip Number 3
Ace the interview by practising common questions related to data engineering. We recommend focusing on scenarios where you've optimised data quality or improved data reliability—this is what they want to hear!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer: Azure Data Warehouse for Social Impact in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data infrastructure and problem-solving skills. We want to see how your background aligns with our mission of ensuring data reliability and accessibility.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about social impact and how you can contribute to our collaborative team. Show us your personality and enthusiasm for the role!
Showcase Relevant Projects: If you've worked on any projects related to data warehousing or optimising data quality, be sure to mention them. We love seeing real examples of your work and how it can benefit our team.
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 us!
How to prepare for a job interview at Big Life group
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around Azure Data Warehouse. Brush up on your knowledge of data reliability and accessibility, as these are key to the role. Be ready to discuss specific projects where you've optimised data quality.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data infrastructure issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to work collaboratively within a team.
✨Research the Company’s Social Impact
Since this is a social business, it’s crucial to understand their mission and values. Familiarise yourself with their projects and how they contribute to equity and positive change. This will help you align your answers with their goals during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, data challenges they face, and how they measure success in their projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
