Senior Data Engineer

Remote – LATAM 

About the Project

We’re looking for a Senior Data Engineer to join a greenfield initiative focused on turning an existing proof of concept into a production-grade data product.

The project involves building a reliable data pipeline and data service that will provide cyber risk insights to brokers in Asian markets, helping them make better-informed decisions when preparing quotes for underwriters.

You’ll work closely with Data Science and Data Engineering teams, taking an existing POC and evolving it into a scalable, reliable, and maintainable solution.

What you’ll do

• Design, build, and productionize robust data pipelines using Python and Airflow.

• Transform an existing Data Science POC into a reliable, maintainable production solution.

• Build and maintain data processing workflows, including scheduling, retries, validations, and regression checks.

• Work with PostgreSQL to design efficient schemas, queries, views, and data access patterns.

• Build the data access layer using GraphQL and, over time, Hasura.

• Collaborate closely with Data Scientists to integrate and operationalize existing NLP/LLM-based components.

• Ensure reliable and consistent data delivery on a recurring cadence.

• Work with AWS-based infrastructure and understand how services, orchestration, storage, and connectivity fit together.

• Collaborate with SRE and Engineering teams on deployment and production-related needs.

• Take ownership of technical decisions and independently drive work from requirements to production.

Tech Stack You’ll Use

• Core: Python, PostgreSQL, Apache Airflow, GraphQL

• Infrastructure & Data: AWS, S3, Redis, Elasticsearch, Docker, Kubernetes, Helm, GitHub Actions

• Additional technologies: Hasura, SQLAlchemy, Liquibase/Flyway

What we’re looking for

• Strong professional experience in Data Engineering.

• Advanced proficiency in Python, especially for data pipelines and data processing.

• Hands-on experience with Apache Airflow in production environments.

• Strong knowledge of PostgreSQL and relational database fundamentals.

• Experience working with cloud environments, ideally AWS.

• Basic DevOps knowledge and the ability to understand infrastructure, deployment, and connectivity concepts.

• Experience with GraphQL, or a strong foundation that allows you to ramp up quickly.

• Ability to work autonomously, make technical decisions, and take ownership of solutions.

• Comfortable collaborating with Data Scientists and other cross-functional technical teams.

• Familiarity with AI-assisted coding tools and an interest in using them as part of the development workflow.

• Experience with Hasura, cybersecurity data, or data-as-a-product environments is a plus.

• English level B2 or higher, with the ability to communicate effectively in an international team.

What you’ll get

• Time off & well-being: vacations fully flexible and self-managed, sick leave and personal days, public holidays, paternity and maternity leave, study leave, and moving days.

• Learning & growth: training in best practices and tech, books and light talks, in-house English classes, continuous feedback, and 1:1 career development sessions.

• Work experience: flexible working hours, equipment and work materials provided, internal events and team activities, and a day off on your birthday.

• Contract & setup: 100% remote positions across LATAM, under a contractor model with payment in USD.