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- Tasks: Create powerful data solutions for top Financial Services clients using SQL Server, Snowflake, and AWS.
- Company: Leading technology consultancy in the UK with a focus on innovation.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Why this job: Join a collaborative team and shape the future of data integration with AI.
- Qualifications: Strong SQL Server, Snowflake, AWS skills, and experience with data orchestration tools.
- Other info: Dynamic work environment that fosters learning and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A technology and engineering consultancy in the UK seeks a Senior Data Engineer to develop robust data solutions for its Financial Services clients. The role requires strong skills in SQL Server, Snowflake, and AWS, as well as experience with data orchestration tools. Candidates should also have experience delivering data products and integrating with AI platforms. This position allows for flexible working arrangements, supporting a collaborative learning environment.
Senior Data Engineer: Pipelines & AI-Ready Data Mesh employer: Credera
Contact Detail:
Credera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Pipelines & AI-Ready Data Mesh
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in financial services or data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL Server, Snowflake, and AWS. This is your chance to demonstrate how you’ve delivered data products and integrated with AI platforms—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you’d tackle challenges related to data orchestration tools and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to stay updated on new opportunities that match your skills.
We think you need these skills to ace Senior Data Engineer: Pipelines & AI-Ready Data Mesh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL Server, Snowflake, and AWS in your application. We want to see how you've used these tools to create robust data solutions, especially in the Financial Services sector.
Talk About Your Projects: Share specific examples of data products you've delivered and how you've integrated them with AI platforms. This will help us understand your hands-on experience and how you approach problem-solving.
Be Yourself: We value a collaborative learning environment, so let your personality shine through in your application. Share your passion for data engineering and how you enjoy working with others to achieve great results.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Credera
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server, Snowflake, and AWS skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Orchestration Experience
Prepare examples of how you've used data orchestration tools in past roles. Highlight any successful data products you've delivered and how they integrated with AI platforms, as this will demonstrate your ability to meet the needs of their Financial Services clients.
✨Emphasise Collaboration and Flexibility
Since the role supports a collaborative learning environment, be ready to talk about how you work with others. Share experiences where you’ve contributed to team success and adapted to flexible working arrangements.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data solutions and their vision for AI integration. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
