At a Glance
- Tasks: Design and build reliable data pipelines on a modern data platform.
- Company: Goldman Sachs, a leader in financial services and technology.
- Benefits: Competitive salary, health benefits, and opportunities to work with cutting-edge tech.
- Other info: Experience in SQL and Apache Spark is a plus.
- Why this job: Join a fast-paced environment and make an impact with innovative data solutions.
- Qualifications: Degree in a relevant field and strong programming skills in Python or Java.
The predicted salary is between 80000 - 100000 € per year.
Goldman Sachs is looking for a Data Engineer to design and build reliable data pipelines on a modern data platform. In this role, you'll be responsible for data ingestion, transformation, and modeling, ensuring data quality and performance.
The ideal candidate has a degree in a relevant field and strong programming skills in Python or Java, along with experience in SQL and Apache Spark. The position offers opportunities to work with cutting-edge technologies in a fast-paced environment.
Data Platform Engineer – Lakehouse & AI (VP) in London employer: WeAreTechWomen
Goldman Sachs is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Platform Engineer, you'll have access to cutting-edge technologies and the opportunity for professional growth in a fast-paced environment, all while being part of a globally respected firm that values diversity and employee development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer – Lakehouse & AI (VP) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Goldman Sachs on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines, transformations, and any projects using Python, Java, SQL, or Apache Spark. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Data Platform Engineer – Lakehouse & AI (VP) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines, programming skills in Python or Java, and any relevant projects. We want to see how your background aligns with the role of a Data Platform Engineer.
Showcase Your Skills:In your cover letter, emphasise your expertise in SQL and Apache Spark. We love seeing specific examples of how you've used these technologies to solve problems or improve processes.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, less is often more!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Java, SQL, and Apache Spark. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. We recommend preparing specific examples that showcase your skills and problem-solving abilities.
✨Understand Data Pipelines
Since the role focuses on designing and building data pipelines, it’s crucial to understand the entire process from data ingestion to transformation and modelling. We suggest reviewing common challenges in data pipeline development and thinking about how you’ve tackled similar issues in your previous roles.
✨Showcase Your Problem-Solving Skills
Goldman Sachs will likely want to see how you approach complex problems. Prepare to discuss scenarios where you had to troubleshoot or optimise a data pipeline. We advise practising the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the technologies they use, and their approach to data quality and performance. This not only shows your interest but also helps you gauge if the company is the right fit for you. We believe this can set you apart from other candidates.
