Cerberus Capital Management · 4 hours ago
Senior Data Engineer
Cerberus Capital Management is one of the world's leading private investment firms, and they are seeking a Senior Data Engineer to expand their Data Engineering team. The role involves designing and implementing robust data architectures and pipelines to support advanced analytics and AI applications for the firm's investment desks and portfolio companies.
FinanceFinancial ServicesImpact Investing
Responsibilities
Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives
Develop robust ELT/ELT workflows using tools like Snowflake, MS Fabric, dbt, ADF, Airflow, and Relational DBs like SQL Server and PostgreSQL, to transform raw data into high-quality, analytics-ready datasets
Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence
Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency
Implement best practices for data modeling, governance, and security across all platforms
Troubleshoot and enhance existing pipelines to improve scalability and resilience
Qualification
Required
5 – 10 years of experience as a Sr. Data Engineer
Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality
Advanced proficiency in Python for data engineering, data wrangling and pipeline development
Hands-on experience working with Azure
Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security
Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution
Strong theoretical and practical understanding of relational and dimensional modeling
Proficient in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects
Extensive experience with PostgreSQL, SQL Server (or similar), including schema design, optimization, and complex query development
Familiarity with Git-based workflows and continuous integration/deployment practices (experience with Azure DevOps or Github Actions)
Ability to articulate complex technical concepts to technical and non-technical stakeholders alike
Excellent problem-solving skills with a strong analytical mindset
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Preferred
AWS experience is considered, however Azure exposure is preferred
Cross industry exposure and experience preferred
Production experience with declarative infrastructure definition – e.g. Terraform, Pulumi or similar
Relevant certification from Azure, AWS, GCP, IBM, Snowflake, dbt
Company
Cerberus Capital Management
Cerberus Capital Management is a private investment firm that focuses on operational private equity investments.
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-12-22
2025-12-22
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