Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, collaborating across teams in a dynamic environment.
- Qualifications: Strong experience with Snowflake, Python, and AWS; ideally in financial services.
- Other info: This is a 6-month contract with potential for extension on a major project.
The predicted salary is between 60000 - 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
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 the latest features and updates of Snowflake. Being able to discuss recent advancements or how you've leveraged them in past projects can set you apart during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with Snowflake. Engaging in discussions on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your experience with ETL pipelines and DevOps practices. Be ready to discuss specific challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Research the company’s current data architecture and any recent projects they’ve undertaken. This knowledge will help you tailor your responses in interviews and show that you're genuinely interested in their work.
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 ability to implement data platforms and work 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 experience with migrating data lakes to Snowflake and how you can contribute to building ETL pipelines and best practices.
Showcase Relevant Projects: If you've worked on similar projects, describe them in detail. Highlight your role, the technologies used (like AWS, DBT, or Databricks), and the outcomes achieved. This will help demonstrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to Snowflake, Python, and data engineering practices. Be ready to discuss your approach to problem-solving and how you've tackled challenges in previous roles.
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've 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 Environment
Research the company’s current data platform and their approach to cloud storage. Understanding their use of AWS and private cloud will help you tailor your responses and show that you're genuinely interested in their operations.
✨Prepare for Cross-Functional Collaboration Questions
Given the need to work closely with teams across trading, finance, compliance, and ops, think of examples where you've successfully collaborated with different departments. Highlight your communication skills and ability to bridge technical and non-technical teams.
