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- Tasks: Design and develop ETL pipelines using Snowflake and AWS for financial data.
- Company: Join a leading firm in the financial markets sector, driving data innovation.
- Benefits: Earn £600-650/day PAYE with potential for remote work flexibility.
- Why this job: Be part of a dynamic team shaping the future of financial data solutions.
- Qualifications: Degree in engineering or related field; strong experience in Snowflake and AWS required.
- Other info: This is an office-based role located in London.
The predicted salary is between 48000 - 72000 £ per year.
You will have deep experience in Snowflake and Amazon RDS, ideally within a financial markets environment, with solid experience in ETL pipeline design and development, data solutioning and modelling, and SQL/MSSQL server-based data design and manipulation.
You should apply for this role if you are/have:
- Very strong Snowflake (table/schema design+deployment+Snowpipe) experience
- Strong AWS Cloud and related ETL experience (S3, Mountpoint, Lambda, RDS)
- Strong SQL and MS SQL Server experience
- Financial markets experience is preferred
- Degree educated or higher (engineering or related) from a leading academic institution
This is a heavily office-based role, in London, at £600-650/day PAYE (c. £750 umbrella).
Data Engineer �- Snowflake / AWS �- Financial Markets employer: Quality Control Specialist - Pest Control
Contact Detail:
Quality Control Specialist - Pest Control Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer �- Snowflake / AWS �- Financial Markets
✨Tip Number 1
Make sure to showcase your hands-on experience with Snowflake and AWS in your conversations. Be prepared to discuss specific projects where you've implemented Snowpipe or designed schemas, as this will demonstrate your expertise.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in financial markets. Being able to speak knowledgeably about how data engineering impacts trading or risk management can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the financial sector who are also working with Snowflake and AWS. Attend industry meetups or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 4
Prepare for technical interviews by brushing up on SQL and ETL processes. Practising common data manipulation tasks and being ready to solve problems on the spot will show your proficiency and confidence in the subject matter.
We think you need these skills to ace Data Engineer �- Snowflake / AWS �- Financial Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, and SQL. Use specific examples from your previous roles that demonstrate your skills in ETL pipeline design and financial markets.
Craft a Compelling Cover Letter: In your cover letter, explain why you are a great fit for the Data Engineer role. Mention your relevant experience in financial markets and how your technical skills align with the job requirements.
Showcase Relevant Projects: If you have worked on projects involving Snowflake or AWS, include these in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your expertise.
Highlight Educational Background: Since a degree from a leading academic institution is preferred, ensure you mention your educational qualifications prominently. If you have any certifications related to data engineering or cloud technologies, include those as well.
How to prepare for a job interview at Quality Control Specialist - Pest Control
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake and AWS in detail. Highlight specific projects where you've designed and deployed tables and schemas, and be ready to explain your approach to ETL pipeline design.
✨Demonstrate Financial Markets Knowledge
Since the role is within financial markets, brush up on relevant terminology and trends. Be ready to discuss how your data engineering skills can solve problems specific to this sector.
✨Prepare for SQL Challenges
Expect technical questions or practical tests involving SQL and MS SQL Server. Practice writing queries and manipulating data, as this will likely be a key focus during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and challenges they face in financial markets. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
