• The Data Engineer will work closely with both the Head of Data & Analytics and other technical teams to contribute to the design of the firm’s data architecture and long-term data strategy, ensure seamless data integration and secure management of firm-wide data.

Qualifications and Experienc:

• 5+ years of experience in data engineering or SQL-based development.
• Degree in Computer Science, Information Systems, or related field.
• Proficiency in SQL, NoSQL, and cloud platforms (AWS, Azure).
• Experience with data pipeline frameworks (e.g., Apache Kafka, Airflow).
• Familiarity with Azure Data Factory, Synapse, or similar.
• Optional: Python scripting for ETL or data manipulation.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively with data analysts and business teams.
• Experience in professional services or finance environments preferred.
• Exposure to Aderant or iManage advantageous.

Closing:  2025-11-21