A leading global alternative investment firm is hiring a Senior Data Engineer to join its Data Governance & Enterprise Data team.
This is a high-impact hands-on engineering role focused on building scalable production-grade data pipelines and warehouse architecture that support finance investment and operational stakeholders across the firm.
This is not a reporting-only or policy-focused governance role. This is a true data engineering position with ownership over architecture modeling and data quality design.
What Youll Do
- Design build and maintain cloud and on-prem data pipelines
- Develop scalable production-grade Python-based data workflows
- Write advanced SQL for transformation modeling and optimization
- Design and implement dimensional data models (Kimball/star schema)
- Build and optimize Snowflake (or similar cloud warehouse) environments
- Implement orchestration using tools such as Airflow or dbt
- Partner directly with finance and operational teams to translate business requirements into scalable data solutions
- Embed governance metadata and data quality controls into data architecture
- Support business-facing SaaS platforms and BI/reporting tools (Power BI preferred)
- Improve pipeline performance reliability and monitoring
What Were Looking For
Required
- Professional experience in data engineering or software engineering
- Strong Python for data processing and automation
- Advanced SQL and deep understanding of data warehouse design
- Hands-on experience with Snowflake Redshift BigQuery or similar platforms
- Experience with Airflow dbt or comparable orchestration tools
- Proven experience designing dimensional models (Kimball methodology preferred)
- Experience building data solutions that support business stakeholders
- Strong communication skills and ability to operate in cross-functional environments
Preferred
- Experience with data governance and data quality frameworks
- Exposure to streaming technologies (Kafka Spark Streaming Flink)
- Experience working in Agile environments
- Familiarity with APIs web scraping and modern data integration practices
- Financial services or asset management experience
Why This Role
- High visibility across finance and investment teams
- Ownership over architecture and design decisions
- Exposure to enterprise-scale data initiatives
- Competitive compensation plus performance bonus and profit sharing
- Collaborative performance-driven environment
Compensation
- Base salary 15% target bonus
- Profit sharing contribution
- Comprehensive benefits package
If youre a technically strong data engineer who enjoys building scalable systems and working closely with business stakeholders wed welcome the opportunity to connect.
A leading global alternative investment firm is hiring a Senior Data Engineer to join its Data Governance & Enterprise Data team.This is a high-impact hands-on engineering role focused on building scalable production-grade data pipelines and warehouse architecture that support finance investment and...
A leading global alternative investment firm is hiring a Senior Data Engineer to join its Data Governance & Enterprise Data team.
This is a high-impact hands-on engineering role focused on building scalable production-grade data pipelines and warehouse architecture that support finance investment and operational stakeholders across the firm.
This is not a reporting-only or policy-focused governance role. This is a true data engineering position with ownership over architecture modeling and data quality design.
What Youll Do
- Design build and maintain cloud and on-prem data pipelines
- Develop scalable production-grade Python-based data workflows
- Write advanced SQL for transformation modeling and optimization
- Design and implement dimensional data models (Kimball/star schema)
- Build and optimize Snowflake (or similar cloud warehouse) environments
- Implement orchestration using tools such as Airflow or dbt
- Partner directly with finance and operational teams to translate business requirements into scalable data solutions
- Embed governance metadata and data quality controls into data architecture
- Support business-facing SaaS platforms and BI/reporting tools (Power BI preferred)
- Improve pipeline performance reliability and monitoring
What Were Looking For
Required
- Professional experience in data engineering or software engineering
- Strong Python for data processing and automation
- Advanced SQL and deep understanding of data warehouse design
- Hands-on experience with Snowflake Redshift BigQuery or similar platforms
- Experience with Airflow dbt or comparable orchestration tools
- Proven experience designing dimensional models (Kimball methodology preferred)
- Experience building data solutions that support business stakeholders
- Strong communication skills and ability to operate in cross-functional environments
Preferred
- Experience with data governance and data quality frameworks
- Exposure to streaming technologies (Kafka Spark Streaming Flink)
- Experience working in Agile environments
- Familiarity with APIs web scraping and modern data integration practices
- Financial services or asset management experience
Why This Role
- High visibility across finance and investment teams
- Ownership over architecture and design decisions
- Exposure to enterprise-scale data initiatives
- Competitive compensation plus performance bonus and profit sharing
- Collaborative performance-driven environment
Compensation
- Base salary 15% target bonus
- Profit sharing contribution
- Comprehensive benefits package
If youre a technically strong data engineer who enjoys building scalable systems and working closely with business stakeholders wed welcome the opportunity to connect.
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