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Senior Data Engineer
Not specifiedFull-timeData Engineering
Lead the design and implementation of large-scale analytical data models and structures supporting business intelligence. Establish organization-wide data modeling standards, improve BI reliability, and help introduce effective LLM-based development practices.
Responsibilities
- Design data models and schemas for large-scale business intelligence.
- Lead the design and implementation of complex analytical data structures.
- Set organization-wide data modeling standards and best practices.
- Drive performance optimization for analytical queries and reporting workloads.
- Promote LLM-based development, mentor engineers, and build supporting infrastructure.
- Mentor engineers and conduct technical reviews.
- Translate business strategy into data architecture in collaboration with leadership.
- Establish data quality and governance frameworks.
- Lead incident response and reliability improvements for BI systems.
- Evaluate and introduce new technologies and design patterns.
Requirements
- At least 5 years of data engineering experience focused on analytics or business intelligence.
- Expert SQL skills and deep PostgreSQL expertise.
- Strong Python skills, including advanced data manipulation, automation, and testing.
- Demonstrated success integrating LLM-based tools into data engineering workflows.
- Ability to translate business requirements into technical architecture.
Nice to have
- Experience building analytics platforms from the ground up.
- Deep knowledge of PostgreSQL internals and query optimization.
- Experience establishing data modeling standards across teams.
- Fintech experience and familiarity with compliance requirements.
- Contributions to the analytics engineering community.
- A bachelor’s degree in computer science, data science, statistics, or a related field, or equivalent experience.