Senior Analytics Engineer

As a Senior Analytics Engineer, you will be embedded directly within our domain structure. Operating under a Domain-Driven Design (DDD) model, you will bridge data and product engineering to build high-impact data products. This role sits at the intersection of Product, Tech, and Finance, translating complex business needs into trustworthy data products.

Responsibilities

Own data product strategy and delivery: partner with stakeholders to define requirements, design technical roadmaps, and lead data products from discovery through testing and final delivery; Balance architecture and execution: shift between high-level domain strategy and hands-on technical execution, architecting multi-domain models and shipping code; Model with engineering excellence: deliver reliable, scalable data models using version control, automated testing, and CI/CD pipelines; Proactive monitoring and governance: design alerting frameworks and monitoring practices to detect anomalies and enforce data quality; Orchestration and performance: manage workflow orchestration using Apache Airflow (Cloud Composer) and optimize SQL models; Champion best practices: promote team-wide standards across dbt development, documentation, testing, and code reviews

Requirements

4+ years in Analytics Engineering, Analytics/Data Engineering, or Data Platform roles with a strong focus on modeling and dbt workflows; Advanced proficiency in SQL (building, testing, and optimizing complex transformations) and a deep understanding of dbt; Practical knowledge of financial mechanisms (P&L, FX exposure, reconciliation, and cash management); Experience with (or a genuine curiosity for) Domain-Driven Design (DDD) principles and how they shape team ownership and data architecture; A strong instinct for what makes a data product trustworthy, maintainable, and directly valuable to business users; Professional fluency in English

Nice to have

Spanish language skills

Benefits

Direct influence over core financial data structures; Market-leading salary plus performance-based bonus; Dedicated time and resources for training, certifications, and industry learning; Collaborative hybrid workplace with flexible home-office options