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- Tasks: Join a greenfield initiative to build a cutting-edge data platform using modern technologies.
- Company: Top market-leading Commodities Trading Firm with a collaborative culture.
- Benefits: Competitive salary up to £100,000, hybrid working, and excellent benefits.
- Other info: Work in central London with opportunities for career growth and remote flexibility.
- Why this job: Be a key player in shaping the future of data engineering in a dynamic environment.
- Qualifications: 5+ years of Python experience and knowledge of data Lakehouse technologies required.
The predicted salary is between 80000 - 100000 £ per year.
A top market leading Commodities Trading Firm is looking for Data Engineers to join a greenfield initiative to build a brand-new data platform on the principles of a modern data Lakehouse architecture. In this role, you will be a key member in the processing of real-time data streams and create scalable ingestion and transformation workflows using Python, SQL, and modern Lakehouse technologies such as Iceberg, Parquet, and Apache Hudi.
This is a rare opportunity to join at an early stage and become one of the most senior technical contributors, helping define architecture, set engineering best practices, and drive the firm's transition to a modern data platform that underpins critical trading decisions.
Required:- 5+ years of Python development experience in an enterprise environment.
- Experienced with end-to-end involvement in building a data Lakehouse.
- Solid knowledge of related data Lakehouse technologies like Parquet, Apache Iceberg, Apache Hudi, Spark (or similar).
- Strong Computer Science, Engineering (or a related subject) background.
- Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD.
Market leading Compensation and Benefit packages. Working in a modern office in the heart of London, with the ability to work from home when required. The opportunity to work for a top Commodities Trading firm in an incredibly collaborative culture.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology and Engineering
Data Engineer employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a company you're interested in. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Python and data Lakehouse technologies. Share it on platforms like GitHub to give potential employers a taste of your work.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding the principles behind data Lakehouse architecture. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your Python development experience and any work you've done with data Lakehouse technologies like Parquet and Apache Iceberg. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background in building data platforms aligns with our needs. Let us know what makes you a great fit for our team.
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Include links or descriptions of your past work that demonstrate your experience with real-time data processing and modern software engineering practices. We love seeing practical examples of your skills.
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 shows us you're keen on joining our team at Stanford Black Limited!
How to prepare for a job interview at Stanford Black Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the Lakehouse technologies mentioned in the job description. Brush up on your knowledge of Apache Iceberg, Parquet, and Apache Hudi, as these will likely come up during technical discussions.
✨Showcase Your Experience
Prepare to discuss your previous projects involving data Lakehouse architecture. Be ready to explain your role in building scalable ingestion and transformation workflows, and how your contributions impacted the overall project.
✨Understand Agile and DevOps
Since the role involves working in a modern software engineering environment, be prepared to talk about your experience with Agile methodologies and tools like Scrum, git, and CI/CD. Highlight any specific instances where you’ve successfully implemented these practices.
✨Cultural Fit Matters
This firm values collaboration, so think about examples that demonstrate your ability to work well in a team. Be ready to discuss how you’ve contributed to a positive team culture in past roles, as this could set you apart from other candidates.