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Data Engineer

3 months ago


London Area, United Kingdom Vanda Research Full time

Company Overview: Vanda Research is a leading independent research house specializing in delivering highly tactical macro strategy analysis to institutional investors. With a comprehensive approach integrating cross-asset and cross-geography perspectives, we provide first-class macro insights within a 0–3-month time horizon. Our unique blend of alternative high-frequency macro data and positioning analysis enables us to predict market movements, creating valuable trading opportunities for our clients. With strategically located offices worldwide, we operate seamlessly around the clock, ensuring our clients have access to timely and accurate information.


Job Description: We are seeking a Data Engineer to join our dynamic team at Vanda Research. As a Data Engineer, you will play a crucial role in developing and maintaining our existing data infrastructure while potentially exploring and implementing new cloud services to enhance efficiency. This role offers the opportunity to grow into a data architect over time with hands-on experience and mentorship from our experienced team.


Key Responsibilities:

  • Develop and maintain the existing data architecture, ensuring reliability, scalability, and efficiency.
  • Design and implement ETL processes and data pipelines primarily within the AWS environment.
  • Utilize Python coding skills, particularly in Airflow, to enhance and optimize our infrastructure.
  • Collaborate with cross-functional teams to understand data requirements and implement solutions.
  • Gain proficiency in AWS services such as Lambda functions, Glue, and S3 to enhance data processing capabilities.
  • Demonstrate proficiency in SQL for ETL processes, including Athena and Glue iterations.
  • Utilize NoSQL databases, particularly MongoDB, for production data storage and retrieval.


Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 0-3 years of experience in data engineering or related roles.
  • Strong proficiency in Python programming, with experience in Airflow preferred.
  • Familiarity with AWS services such as Lambda functions, Glue, and S3 is a plus.
  • Solid understanding of SQL for ETL processes, including experience with Athena and Glue iterations.
  • Experience with NoSQL databases, particularly MongoDB, is required.
  • Ability to work collaboratively in a fast-paced environment and adapt to evolving requirements.
  • Strong problem-solving skills and attention to detail.


Benefits:

  • Competitive salary and benefits package.
  • Opportunity for career growth and advancement within a leading research firm.
  • Mentorship and learning opportunities from experienced data professionals.
  • Dynamic and collaborative work environment with a focus on innovation and excellence.


Join us at Vanda Research and be part of a team dedicated to delivering actionable insights and driving success for our clients in the global financial markets.