About the position
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 Experience:
When submitting your application, kindly advise whether you have any current experience in building data warehouses.
Please note that if you have not received a response within 14 days of submitting your application that your application was unsuccessful.
However, please keep a lookout on our website, [URL Removed] for available positions which may be inline with your career [URL Removed] and Experience:
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.
When submitting your application, kindly advise whether you have any current experience in building data warehouses.
Please note that if you have not received a response within 14 days of submitting your application that your application was unsuccessful.
However, please keep a lookout on our website, [URL Removed] for available positions which may be inline with your career aspirations.
Desired Skills:
- Data engineering
- Data pipeline frameworks
- Aderant or iManage advantageous
