Data Engineer at Burgiss

About the role:

The Data Engineer will work in a fast-paced environment, engaging with a variety of investment and technology professionals inside and outside the firm. Primary responsibilities include establishing new data feeds with banks and data vendors, and supporting the growth of the Firm by centralizing and automating integration processes. Data Engineers demonstrate a high attention to detail, confidence, and entrepreneurial mindset. Candidates should be comfortable working in a team environment, while also juggling multiple priorities on tight deadlines.

Responsibilities:

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, Burgiss clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes
• Evaluate new APIs and build data pipelines to fetch and integrate their data
• Use internal proprietary tools to manipulate and migrate investment data into the Platform
• Interact regularly with other areas of the firm to collaborate on execution of tasks

Required Qualifications & Skills:

• 1-3 years of experience as a Data Engineer, Data Analyst, or Financial Analyst
• Must be proficient and have experience with SQL, Python, and Excel
• Ability to handle multiple tasks, meet reporting deadlines, and demonstrate flexibility with delivery of assignments
• Experience with ETL tools such as SSIS, Alteryx or Informatica is preferred
• Eagerness to tackle new or complex problems with the latest tools and technologies
• Bachelor’s degree in Computer Science, Engineering, or Finance preferred but not required
• Knowledge of Apache Airflow, Microsoft Azure or AWS is a plus