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- Tasks: Deliver efficient data solutions using cloud-native technologies like Snowflake and Azure.
- Company: Leading investment management firm in Edinburgh with an inclusive work culture.
- Benefits: Flexible working arrangements, substantial annual leave, and a supportive environment.
- Why this job: Join a dynamic team and make a real impact in data and analytics.
- Qualifications: Strong experience in data warehousing, application modernization, and CI/CD pipelines.
- Other info: Great opportunity for career growth in a forward-thinking company.
The predicted salary is between 43200 - 72000 £ per year.
A leading investment management firm in Edinburgh seeks a detail-oriented Senior Engineer to join its Data & Analytics team. This role will focus on delivering efficient data solutions using cloud-native technologies like Snowflake and Azure.
Required qualifications include strong experience in data warehousing, application modernization, and CI/CD pipeline implementation.
The firm offers an inclusive work environment with a range of benefits, including flexible working arrangements and substantial annual leave.
Senior Data Engineer - Cloud-Native, Snowflake & AI Tools employer: abrdn
Contact Detail:
abrdn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Cloud-Native, Snowflake & AI Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with cloud-native tech and data solutions. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Snowflake, Azure, and any AI tools you've used. This gives potential employers a taste of what you can bring to their Data & Analytics team.
✨Tip Number 3
Prepare for interviews by brushing up on your CI/CD pipeline knowledge. Be ready to discuss how you've implemented these processes in past roles. 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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer - Cloud-Native, Snowflake & AI Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud-native technologies like Snowflake and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing your data warehousing and CI/CD pipeline expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for our Data & Analytics team. We love seeing genuine enthusiasm!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. We’re keen to see real-world examples of how you’ve delivered efficient data solutions and modernised applications.
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 abrdn
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud-native technologies, especially Snowflake and Azure. Brush up on your data warehousing concepts and be ready to discuss how you've implemented CI/CD pipelines in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you modernised applications or improved data solutions, and be ready to explain your thought process.
✨Understand the Company Culture
Research the firm’s values and work environment. Since they emphasise inclusivity and flexibility, think about how your own values align with theirs and be prepared to discuss this during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the team. Inquire about their current projects involving AI tools or how they approach data analytics challenges, which will demonstrate your enthusiasm and engagement.
