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- Tasks: Design and build data pipelines on a modern Lakehouse and AI platform.
- Company: Leading financial services firm in Greater London with a focus on innovation.
- Benefits: Extensive training, career advancement opportunities, and competitive salary.
- Other info: Dynamic work environment with a focus on professional growth.
- Why this job: Contribute to significant business outcomes and tackle exciting technical challenges.
- Qualifications: Proficiency in Python or Java, strong SQL skills, and teamwork experience.
The predicted salary is between 60000 - 80000 £ per year.
A leading financial services firm in Greater London seeks a Data Engineer to design, build, and support data pipelines on their modern Lakehouse and AI data platform. The role involves using programming skills in Python or Java, strong SQL knowledge, and collaborating closely with engineering teams.
The company offers extensive training and opportunities for career advancement, ensuring engineers contribute directly to significant business outcomes and technical challenges.
Data Platform Engineer — Lakehouse & AI Pipelines in London employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer — Lakehouse & AI Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. Building connections can give us insider info about the company and even lead to referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines or any relevant projects. This gives us a chance to demonstrate our programming prowess in Python or Java, and strong SQL knowledge.
✨Tip Number 3
Prepare for technical interviews by brushing up on common data engineering challenges. Practise coding problems and be ready to discuss how we’ve tackled similar issues in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Platform Engineer — Lakehouse & AI Pipelines in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python or Java and your SQL knowledge. We want to see how you can contribute to our Lakehouse and AI data platform, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to designing and building data pipelines. This helps us see how you fit into our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with us.
How to prepare for a job interview at Goldman Sachs Bank AG
✨Know Your Tech Stack
Make sure you brush up on your Python or Java skills, as well as your SQL knowledge. Be ready to discuss how you've used these technologies in past projects, and think of specific examples that showcase your problem-solving abilities.
✨Understand the Lakehouse Concept
Familiarise yourself with what a Lakehouse is and how it differs from traditional data warehouses. Be prepared to explain how you would design and support data pipelines within this architecture, as it shows you're aligned with the company's focus.
✨Collaboration is Key
Since the role involves working closely with engineering teams, think about your past experiences collaborating with others. Prepare to share examples of how you’ve successfully worked in a team setting, highlighting your communication skills and adaptability.
✨Show Enthusiasm for Learning
The company values training and career advancement, so express your eagerness to learn and grow. Mention any relevant courses or certifications you’re pursuing, and be ready to discuss how you stay updated with industry trends and technologies.