Senior Data Engineer

Key Responsibilities

• Oversee and continuously improve data systems that support finance-related functions, identifying opportunities to incorporate modern tools, including cloud-based technologies, to increase performance, flexibility, and security.
• Help define and refine frameworks for managing data across its lifecycle, including governance, integration, validation, and stewardship, ensuring dependable and consistent information across platforms.
• Partner with internal teams and leadership to align data initiatives with business priorities, supporting efforts that enhance reporting, analytics, and decision-making capabilities.
• Analyze current data processes and infrastructure, recommending and implementing enhancements that improve efficiency, reliability, and scalability.
• Support ongoing innovation in data engineering practices, introducing new approaches and tools where appropriate to elevate overall system effectiveness.

Qualifications

• Degree in Computer Science, Information Systems, or a related discipline preferred.
• 5\+ years of experience in data engineering, data architecture, or similar roles involving large-scale data systems.
• Familiarity with modern cloud data platforms (e.g., Snowflake, Microsoft Fabric) and their ecosystems.
• Strong SQL skills, including data modeling and query optimization.
• Demonstrated experience building and maintaining data pipelines (ETL/ELT) and supporting analytical data structures such as data warehouses.
• Proficiency in Python for scripting, automation, or data processing tasks.
• Solid understanding of relational databases and associated technologies.
• Experience working with APIs and handling diverse data formats, including semi-structured data like JSON or XML.
• Hands-on experience with version control tools such as Git.
• Exposure to Agile methodologies and iterative development practices.
• Knowledge of performance tuning and system optimization techniques for databases.
• General awareness of emerging technologies such as AI and large language models.
• Ability to operate both independently and collaboratively in a team-oriented environment.
• Strong problem-solving, organizational, and communication skills.