Job description

Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference . While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight. Lazard Asset Management (LAM) is seeking a Data Engineer to join its Enterprise Data team and help advance the firm’s data journey. This role is responsible for the firm’s external market data ETL and warehousing, contributing to data architecture and cloud engineering design and delivering new data pipelines. It is a highly hands-on backend engineering role within a lean engineering team, where the successful candidate is expected to take ownership of problems, design practical solutions, and implement them end to end. We are looking for a highly motivated, organized, and experienced engineer with a strong sense of ownership, disciplined software development practices, and a focus on clean design, high reliability, and operational stability. We’ll trust you to: • Contribute to the operational excellence of existing ETL workloads running on Snowflake, Databricks, and Sybase. • Respond to end-user requests and troubleshoot issues related to data access, latency, and performance. • Work with business and technology teams to understand their data consumption patterns and optimize them for performance and cost. • Work closely with stakeholders to design new data delivery channels in Azure. • Coordinate design, configuration, and deployment activities with Infrastructure teams. • Use dbt (data build tool) for transformations between raw ingestion layers and curated downstream datasets. • Use Python for scripting and automation to support data management. You’ll need to have: • 5-10+ years of hands-on database and data warehouse engineering experience with external market data within a financial institution. • 5+ years of advanced SQL expertise as applied to data engineering workloads. • 5+ years of Azure cloud experience with focus on Azure data engineering services. • 5+ years of hands-on experience with ETL techniques and processes, including identifying and resolving gaps, overlaps, and inconsistencies in market data feeds. • 5+ years of experience in a team responsible for acquiring, ingesting, and managing external market data. • Broad understanding of the systems and business processes supporting Middle Office and Back Office functions at investment banks or asset managers. • Strong understanding of relational database technologies within financial institutions. • Strong backend database development experience. • Ability to work effectively both independently and as part of a team. • Strong verbal and written communication skills. • Knowledge of best practices for code quality, testing, and performance optimization. It’s a bonus to have: • Experience with Snowflake, Databricks, and Sybase, including building historical data archives and designing schemas for time-series financial market data. • Experience with DevOps practices, including GitLab CI/CD pipelines (both YAML and UI-based configurations). • Experience with dbt (data build tool). • Strong understanding of AI/ML concepts and implementations, including exposure to AI coding tools such as Claude Code or GitHub Copilot. • Experience with Linux and shell scripting. What we offer: We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that cares about your unique talents and passions, and will continue to invest in the development of your career. We expect the base salary range for this role to be approximately $170,000 - $200,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant’s years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, and relevant skills for the role. Base salary is one component of Lazard’s compensation package, which also includes comprehensive benefits and may include incentive compensation. Does this sound like you? Apply! We’ll get in touch on the next steps. Representation at Lazard Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions. Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success. Lazard Asset Management is hiring a hands-on Data Engineer for its Enterprise Data team to own external market data ETL and warehousing, shape data architecture and cloud design, and build new pipelines end to end. The ideal candidate is a self-driven, well-organized backend engineer who brings disciplined development practices and a focus on clean design, reliability, and operational stability within a lean team.

Requirements

Must-haves

Contribute to the operational excellence of existing ETL workloads running on Snowflake, Databricks, and Sybase.
Respond to end-user requests and troubleshoot issues related to data access, latency, and performance.
Work with business and technology teams to understand their data consumption patterns and optimize them for performance and cost.
Work closely with stakeholders to design new data delivery channels in Azure.
Coordinate design, configuration, and deployment activities with Infrastructure teams.
Use dbt (data build tool) for transformations between raw ingestion layers and curated downstream datasets.
Use Python for scripting and automation to support data management.
5-10+ years of hands-on database and data warehouse engineering experience with external market data within a financial institution.
5+ years of advanced SQL expertise as applied to data engineering workloads.
5+ years of Azure cloud experience with focus on Azure data engineering services.
5+ years of hands-on experience with ETL techniques and processes, including identifying and resolving gaps, overlaps, and inconsistencies in market data feeds.
5+ years of experience in a team responsible for acquiring, ingesting, and managing external market data.
Broad understanding of the systems and business processes supporting Middle Office and Back Office functions at investment banks or asset managers.
Strong understanding of relational database technologies within financial institutions.
Strong backend database development experience.
Ability to work effectively both independently and as part of a team.
Strong verbal and written communication skills.
Knowledge of best practices for code quality, testing, and performance optimization.
Experience with Snowflake, Databricks, and Sybase, including building historical data archives and designing schemas for time-series financial market data.
Experience with DevOps practices, including GitLab CI/CD pipelines (both YAML and UI-based configurations).
Experience with dbt (data build tool).
Strong understanding of AI/ML concepts and implementations, including exposure to AI coding tools such as Claude Code or GitHub Copilot.
Experience with Linux and shell scripting.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azurepythonsqlci/cdaiml

Platform: oracle-cloud
Effort: medium