Data Engineer - Quantitative Data Intelligence

Sobre a oportunidade

Responsibilities: • Architect, build, and optimize ETL/ELT pipelines, ensuring scalability, reliability, and performance • Design and own semantic data models that make complex financial data accessible and consistent for reporting and analytics • Define and enforce best practices for data quality, security, and compliance with governance standards • Provide technical guidance and mentorship to other data engineers, promoting engineering best practices and code quality • Collaborate closely with data scientists and business analysts to translate business needs into scalable data solutions • Deliver curated views and datasets to Power BI and Tableau for reporting and visualization • Drive the exploration and adoption of AI engineering practices, including GenAI, agents, RAG (Retrieval-Augmented Generation), and graph-based approaches • Influence data architecture decisions and contribute to the technical roadmap for the Finance data platform • Partner with a globally distributed team, adapting to different time zones and working styles, and acting as a technical point of contact for cross-functional stakeholders Qualifications: Education • Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related field Experience • 5+ years of experience in data engineering, including experience designing data architectures end-to-end • Proven track record of leading or mentoring within data engineering projects or teams • Experience in Finance is a plus Technical Skills • Strong knowledge of Snowflake and dbt, including performance tuning and architecture design • Advanced proficiency in SQL and data modeling (dimensional/semantic modeling at scale) • Strong Python programming skills, including building reusable frameworks/libraries • Familiarity with SAP, S/4HANA, and ABAP is a plus • Solid knowledge of cloud platforms (AWS, Azure), including data infrastructure and cost/performance optimization • Hands-on interest and experience in AI engineering, GenAI, agents, RAG, and graph technologies • Experience delivering data to BI tools such as Power BI and Tableau, including data model design for reporting layers • Familiarity with CI/CD, version control, and data pipeline orchestration/testing best practices Soft Skills • Strong problem-solving skills and the ability to design data solutions for ambiguous, complex business problems • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and influence decision-making • Demonstrated ability to mentor junior team members and elevate engineering standards • Ability to thrive in and help lead within a dynamic, collaborative, globally distributed team environment Language Requirements • Fluent English (required)