Data Engineer - Data Management

Tasks

• First tier Provide data support for portfolio managers, researchers, traders, engineers, and data scientists across the enterprise.
• Manage onboarding and migration of various financial and alternative data sets.
• Develop and build ETL pipelines using industry standard and proprietary technologies; define and optimize data models, schemas, and workflows with engineering teams.
• Proactively monitor and resolve quality issues before they impact downstream users; drive data quality management with engineers.
• Own and enhance security master control and data quality monitoring tools to ensure accuracy and data integrity.
• Manage data management permissions, improve usage strategy, analyze usage patterns, and optimize costs.
• Curate and maintain metadata catalog and knowledge base, and drive forward the potential automation of daily tasks.

Requirements

Essential

• Experience with data ingestion, management, and analysis, preferably in the financial industry.
• Strong knowledge of Python and SQL.
• Expertise in ETL, tools, and technologies.
• Knowledge of data warehouse concepts; ability to create and deliver high-quality analyses, with strong analytical thinking and responsibility for results.
• Strong written and oral communication skills.

Advantage

• Practical experience with data modeling, data warehousing, Linux/Unix, SQL, 3+ years is desirable.
• Familiarity with one or more relevant database technologies, e.g., Apache Kafka, PostgreSQL, Snowflake, etc.
• Experience with large and unstructured data sets.
• Practical experience with financial data extraction and understanding of market data structures.
• Stakeholder management skills with proven ability to collaborate effectively with diverse teams and seniority levels internally and externally.

Personal Attributes

• Strong academic background and higher education with a high level of mathematical and computer science content, e.g., computer science, mathematics, finance.
• Hands-on attitude; willing to tackle projects across the entire company.
• Self-organized with the ability to effectively manage time across multiple projects and competing business demands and priorities.
• Can work independently, but also establish and maintain close working relationships with quantitative researchers, technologists, traders, and other business professionals.
• Confident communication; can present a point of view concisely and deal with conflicting views.

We offer

• Competitive salaries.
• Flexible working hours.
• Life and long-term disability insurance.
• Group health insurance.
• Improved parental leave and flexible service leave.
• Depending on your location, you may also be able to access additional Le