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- Tasks: Design and maintain cloud-based data pipelines and integration frameworks.
- Company: Leading global investment firm with a focus on data strategy.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Why this job: Join a dynamic team and enhance your skills in modern data engineering.
- Qualifications: Strong experience in Python and SQL; familiarity with Databricks and Snowflake.
- Other info: Opportunity to work on enterprise-level data solutions and advance your career.
The predicted salary is between 36000 - 60000 £ per year.
A leading global investment firm is seeking an Associate-level Data Engineer to join their Data Strategy team in Greater London. You will be responsible for designing, developing, and maintaining cloud-based data pipelines and integration frameworks.
Ideal applicants have strong experience in Python and SQL, along with familiarity in tools like Databricks and Snowflake. This role supports collaboration across various teams, contributing to enterprise-level data solutions while advancing your expertise in modern data engineering practices.
Databricks Data Engineer - Cloud Pipelines and APIs employer: General Atlantic
Contact Detail:
General Atlantic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer - Cloud Pipelines and APIs
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Databricks or in data engineering roles. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. If you've built any cloud-based data pipelines, make sure to highlight them. This is your chance to demonstrate your expertise and stand out from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of data integration frameworks and be ready to discuss how you've used tools like Databricks and Snowflake in your previous work. Confidence in your skills will impress potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and updates.
We think you need these skills to ace Databricks Data Engineer - Cloud Pipelines and APIs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any tools like Databricks and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit for our Data Strategy team. Keep it engaging and personal.
Showcase Collaboration Skills: Since this role involves working across various teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing how you can contribute to enterprise-level data solutions!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at General Atlantic
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to cloud-based data pipelines and integration frameworks.
✨Familiarise with Databricks and Snowflake
Since the role involves tools like Databricks and Snowflake, take some time to understand their functionalities and best practices. You might be asked about specific features or how you've implemented them in previous roles.
✨Showcase Collaboration Skills
This position requires working across various teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experience you have in contributing to enterprise-level data solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data strategy initiatives or how they envision the future of data engineering within the firm.
