The Opportunity:
- We are seeking an experienced and driven Data Engineer to join our growing team in Bogotá.
- As a foundational member of our new Bogotá office, you will play a key role in building and leading a high-performing engineering team.
- You will design, build, and maintain robust systems and infrastructure for processing and analyzing large-scale, complex datasets.
- This is a unique opportunity to shape the future of our data engineering capabilities and drive impactful projects from the ground up.
- English is our working language.
Key Responsibilities:
- Team Leadership: Recruit, mentor, and lead a new team of data engineers in Bogotá, fostering a collaborative and high-performance culture.
- Data Pipeline Development: Design and implement efficient batch and streaming data pipelines capable of handling large volumes of real-time and batch market data using tools such as Python, Apache Airflow, Apache Kafka, and Apache Flink.
- Data Warehousing: Build and maintain scalable, reliable data warehousing solutions using Snowflake.
- Cloud Infrastructure: Develop and manage robust cloud-based systems on AWS.
- CI/CD Automation: Enhance and automate development, testing, and deployment processes using tools such as Jenkins and GitLab.
- System Monitoring: Oversee the maintenance and monitoring of data applications, pipelines, and databases using tools like Prometheus, Grafana, and CloudWatch.
- Stakeholder Collaboration: Work closely with data scientists, analysts, product managers, and other stakeholders to understand requirements and deliver scalable solutions.
- Agile Participation: Engage in daily stand-ups and team meetings to coordinate development efforts and ensure project alignment.
- Product Development: Collaborate with stakeholders to design and build analytical products and services that drive business value.
Essential Qualifications & Experience:
- 4+ years of experience in data engineering or a similar role.
- C1 English — daily communication with international stakeholders is a core part of the role.
- Proficiency in Python (with frameworks such as Pandas, Dask, or PySpark) and SQL.
- Experience building and integrating REST APIs (e.g., FastAPI).
- Hands-on experience with AWS, Snowflake, Kubernetes, and Airflow.
- Familiarity with monitoring and alerting tools (Prometheus, Grafana, CloudWatch).
- Strong Linux and command line skills.
- Proven experience hiring, mentoring, and leading junior engineers.
- Solid understanding of ETL processes and event streaming technologies (Kafka, Flink, etc.).
- Excellent written and verbal communication skills, with the ability to interact effectively with both technical and business teams.
- Degree in Computer Science, Engineering, Mathematics, or a related technical field.
Desired Skills:
- Prior experience working with financial market data.
- Knowledge of additional programming languages such as Java, C#, or C++.
