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- Tasks: Create robust data solutions for Financial Services clients using SQL Server, Snowflake, and AWS.
- Company: Leading technology and engineering consultancy in the UK.
- Benefits: Flexible working arrangements and a collaborative learning environment.
- Why this job: Join a dynamic 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: Opportunity to deliver impactful data products and grow your career.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data engineering. 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, especially those involving SQL Server, Snowflake, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you've tackled challenges in the past, especially with data orchestration tools and AI integration. We want to hear your success stories!
✨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: Pipelines & AI-Ready Data Mesh in London
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 love a bit of personality! Don’t be afraid to let your unique voice shine through in your application. It helps us get to know you better and see if you’d fit into our collaborative learning environment.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It streamlines the process and ensures your application gets to the right people 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 flexible working arrangements, be ready to discuss how you thrive in collaborative environments. Share experiences where teamwork led to successful outcomes, showing that you're a great fit for their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data solutions and their vision for integrating AI. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
