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- Tasks: Lead the implementation of a Snowflake data platform and build ETL pipelines.
- Company: Join a forward-thinking company revolutionising their data infrastructure in London.
- Benefits: Enjoy flexible working with 2 days on-site and a competitive contract duration.
- Why this job: Be at the forefront of data innovation, impacting finance and trading sectors.
- Qualifications: Strong Snowflake experience, Python skills, and familiarity with AWS required.
- Other info: This is a 6-month contract with potential for extension on a major project.
The predicted salary is between 54000 - 84000 £ per year.
Location: London (2 days a week on site)
Contract: 6 month sign on (18–24 month project)
Interview process: 2 stages
twentyAI's customer is building a next version of their data platform, with Snowflake at the core. The PoC is in place — now they need someone who’s been through this before to lead the implementation and help scale the platform across the business.
The project involves migrating our current on-prem Data Lake to Snowflake, while keeping storage on a private cloud. You’ll be setting the foundations: building out ETL pipelines, establishing best practices, and working closely with teams across trading, finance, compliance, and ops.
Profile:
- Strong experience implementing Snowflake in a lead or senior capacity
- Solid background in Python, PySpark, and Spark
- Hands-on with platform setup – ideally with a DevOps-first approach
- Exposure to AWS environments
- Experience working with data from trading platforms or within commodities, banking, or financial services
Tech environment:
- Primary Platform: Snowflake
- Other Tech: DBT, Databricks, Spark, PySpark, Python
- Cloud: AWS (preferred), Private Cloud storage
- Data Sources: Financial/trading systems
Senior Data Engineer employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Snowflake's latest features and best practices. Being able to discuss recent updates or enhancements during your interview will show that you're proactive and knowledgeable about the platform.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with Snowflake. Engaging in relevant online communities or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific challenges you've faced in previous projects involving data migration or ETL processes. Highlighting your problem-solving skills and how you overcame obstacles will demonstrate your capability for this role.
✨Tip Number 4
Research the company’s current data architecture and any recent news related to their data initiatives. This knowledge will allow you to tailor your responses and show genuine interest in their projects during the interview.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Python, and any relevant projects you've led. Use specific examples that demonstrate your expertise in building ETL pipelines and working in a DevOps environment.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for this role. Mention your previous experience with data migration to Snowflake and how you can contribute to scaling the platform across the business.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Detail your role, the technologies used, and the outcomes achieved. This will help the hiring team see your practical experience.
Prepare for Technical Questions: Anticipate technical questions related to Snowflake, Python, and data engineering practices. Be ready to discuss your approach to building ETL pipelines and your experience with AWS environments during the interview process.
How to prepare for a job interview at twentyAI
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you implemented Snowflake, focusing on challenges faced and how you overcame them.
✨Demonstrate Your Technical Skills
Since the role requires strong knowledge of Python, PySpark, and Spark, be ready to provide examples of how you've used these technologies in past projects. Consider discussing any ETL pipelines you've built and the best practices you've established.
✨Familiarise Yourself with the Company’s Domain
Research the company’s involvement in trading, finance, and compliance. Understanding their business model and data needs will help you tailor your responses and demonstrate your ability to contribute effectively.
✨Prepare for DevOps Discussions
Given the emphasis on a DevOps-first approach, be prepared to discuss your experience with platform setup and cloud environments, particularly AWS. Highlight any relevant tools or methodologies you've used to streamline processes.
