Data Engineer (Python & AWS)
Location: Bogotá (Hybrid)
Job Type: Full-time, Contract
Salary: 4,400 - 5,200 USD Monthly
Company: Eighteen Eight Data Solutions
About Eighteen Eight Data Solutions
Eighteen Eight Data Solutions is a leading provider of innovative data solutions for global financial and commodities markets. We empower our clients with advanced tools for price discovery, liquidity management, and data distribution, helping them navigate complex markets with confidence. Our team is passionate about leveraging technology and expertise to deliver reliable, scalable, and impactful data products.
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 analysing 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++.
Why Join Eighteen Eight Data Solutions?
- Impact: Play a pivotal role in building a new team and shaping the future of our data engineering function.
- Growth: Access opportunities for professional development and career progression in a dynamic, innovative environment.
- Collaboration: Work alongside talented professionals who are passionate about data and technology.
- Inclusivity: We are committed to fostering a diverse and inclusive workplace where everyone can thrive.
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