Coperniq is looking for a Data Engineering Manager for Cashea. You will design and develop scalable real-time and batch data pipelines to support analytical products. At Coperniq, we are focused on democratizing financial inclusion through technology.

What You'll Do

Design and develop scalable, real-time and batch pipelines to support analytical products such as dashboards, recommendation engines, and task automation tools.
Collaborate with data scientists and business teams to create APIs and data services that expose data and machine learning outputs to internal and external consumers.
Build the backend infrastructure for advanced analytics platforms using GCP services such as BigQuery, Dataflow, and Pub/Sub or similar.
Work with front-end and full-stack developers to support the creation of user-facing analytical tools and dashboards.
Lead the implementation of scalable, cost-effective architectures for data products.
Participate in the design of data models and schemas that support analytics-driven software.
Ensure data quality, security, and compliance with regulatory requirements such as GDPR and PCI DSS.
Mentor junior engineers and contribute to building a strong engineering culture.

What We're Looking For

6+ years of experience in Data Architecture and/or Software Engineering.
At least +1 years of experience as Lead.
Strong experience with GCP technologies is mandatory (BigQuery, Dataflow, Pub/Sub, Cloud Run).
Proficiency in building RESTful APIs or other data services for analytics consumption.
Expertise in ETL/ELT pipelines using tools like dbt/Dataform or Airflow.
Solid programming skills in Spark, Python or Java and SQL expertise.
Familiarity with creating infrastructure for data products and integrating with front-end or external systems.
Knowledge of governance and data security standards.
Ability to work cross-functionally with data scientists, product managers, and business teams.
Spanish and English proficiency.