As a Senior Analytics Engineer, you will own and drive the transformation of raw data into scalable, well-structured datasets that empower teams to make impactful business decisions.
In Short
Develop well-structured and analytics-ready data models.
Define key KPIs and implement measurement logic for consistent metrics.
Build efficient reporting solutions using dbt, BigQuery, and Looker.
Evaluate and integrate new technologies to enhance data platform performance.
Work collaboratively with stakeholders to ensure data accessibility.
Drive excellence in data infrastructure through continuous improvement.
Communicate complex issues clearly to technical and non-technical teams.
Foster a data-driven culture within the organization.
Support personal and professional growth with development opportunities.
Enjoy flexible work models and ample vacation time.
Requirements
Degree in Data Science, Computer Science, Statistics, Engineering, or related field.
At least 5 years of experience in Analytics Engineering or Data Engineering.
Proficient in SQL and Python.
Experience with modern data stack tools like dbt, BigQuery, and Looker.
Familiarity with version control and CI/CD workflows (e.g., Git).
Strong analytical and problem-solving skills.
Fluency in English; German is a plus.
Experience in the FinTech sector is a plus.
Growth mindset and passion for data.
Ability to structure complex relationships and set clear priorities.
Benefits
Flat hierarchies and cultural openness in a diverse team.
Flexible work models and hours, including remote work options.
Support for personal and professional growth with an annual development budget.
High-quality equipment provided at the start of your tenure.
Attractive terms for investment strategies and additional benefits.
Infinite Lambda is seeking a Senior Analytics Engineer to transform data into insightful reports, working with a distributed team across Latin America.