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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 experience with Snowflake, Python, and AWS is essential.
- Other info: This is a 6-month contract with potential for extension on a major project.
The predicted salary is between 72000 - 108000 £ 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
Make sure to showcase your hands-on experience with Snowflake during the interview. Be prepared to discuss specific projects where you've implemented Snowflake, focusing on challenges you faced and how you overcame them.
✨Tip Number 2
Brush up on your knowledge of ETL pipelines and best practices, as these will be crucial for the role. Consider preparing examples of how you've built or optimised ETL processes in previous positions.
✨Tip Number 3
Familiarise yourself with the financial services sector, especially if you have experience with trading platforms. Being able to speak the language of finance will help you connect with the team and demonstrate your understanding of their needs.
✨Tip Number 4
Since the role involves collaboration across various teams, prepare to discuss your experience working in cross-functional environments. Highlight any instances where you successfully collaborated with teams from different departments like compliance or ops.
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 ETL pipelines.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for this role. Mention your hands-on experience with Snowflake and how you've successfully migrated data platforms in the past. Show enthusiasm for the project and the company.
Highlight Relevant Experience: When detailing your work history, focus on roles where you’ve worked with AWS environments and financial data. Emphasise your leadership skills and any collaborative projects with cross-functional teams.
Prepare for Technical Questions: Anticipate technical questions related to Snowflake, ETL processes, and your experience with Python and Spark. Be ready to discuss specific challenges you've faced and how you overcame them in previous projects.
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 Environment
Research the company’s current data platform and their migration plans. Understanding their existing setup will allow you to ask insightful questions and demonstrate your interest in their specific challenges.
✨Prepare for Cross-Functional Collaboration
This role involves working closely with various teams such as trading, finance, and compliance. Be ready to discuss your experience in cross-functional collaboration and how you’ve successfully communicated technical concepts to non-technical stakeholders.
