Senior Engineer, Data Engineering

1 week ago


London, Greater London, United Kingdom Vanda Research Full time

Vanda Research is a prominent independent research organization specializing in providing highly tactical macro strategic analysis to institutional investors. We offer top-notch macro insights within a 0–3-month time horizon through a comprehensive approach that integrates cross-asset and cross-geography perspectives.

Our distinctive combination of alternative high-frequency macro data and positioning analysis empowers us to forecast market movements, generating valuable trading opportunities for our clients.

With strategically placed offices across the globe, we operate seamlessly 24/7, ensuring timely and accurate information delivery.

We are looking for a Data Engineer to join the lively team at Vanda Research.

As a Data Engineer, you will have a vital role in developing and maintaining our current data infrastructure and potentially exploring and implementing new cloud services to boost efficiency.

This position provides the chance to evolve into a data architect over time, gaining practical experience and guidance from our seasoned team.

  • Develop and maintain the existing data architecture focusing on reliability, scalability, and efficiency.
  • Design and implement ETL processes and data pipelines mainly within the AWS ecosystem.
  • Leverage Python coding skills, especially in Airflow, to improve and streamline our infrastructure.
  • Work collaboratively with diverse teams to grasp data requirements and implement effective solutions.
  • Acquire proficiency in AWS services like Lambda functions, Glue, and S3 to enhance data processing capabilities.
  • Showcase expertise in SQL for ETL processes, incorporating Athena and Glue iterations.
  • Utilize NoSQL databases, particularly MongoDB, for the storage and retrieval of production data.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 0-3 years of experience in data engineering or similar roles.
  • Strong proficiency in Python programming, with a preference for Airflow experience.
  • Familiarity with AWS services including Lambda functions, Glue, and S3 is advantageous.
  • Solid understanding of SQL for ETL processes, with experience in Athena and Glue iterations.
  • Experience with NoSQL databases, specifically MongoDB, is essential.
  • Competitive salary and benefits package.
  • Opportunity for career progression and growth within a leading research institution.
  • Mentorship and learning prospects from experienced data professionals.

Come join us at Vanda Research and become a part of a team committed to delivering actionable insights and fostering success for our clients in the global financial markets.



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