DescriptionWe are seeking an experienced Data Engineer.
The idóneo candidate is self-motivated, a multitasker, and a demonstrated team player.
You will be responsible for designing, developing, managing, and maintaining our open-source data platform, including our Data-Lakehouse (S3, Apache Iceberg, and ClickHouse), ETL processes, and orchestration tool (Temporal Workflow).
What You Will DoDevelop a scalable data platform integrating multiple sources for easy access.Design and enhance data tools (orchestration, governance, Data-Lakehouse, BI, etc.).
Ensure smooth operation of data systems for analysts, scientists, and engineers.Optimize data pipelines (ingestion, processing, and output) in a microservices environment.Build, maintain, and monitor ETL/ELT processes and orchestrate workflows using Temporal.Troubleshoot and improve the performance, scalability, and reliability of the data infrastructure (S3, Apache Iceberg, ClickHouse).
Collaborate cross-functionally with data scientists, analysts, and backend engineers to understand data needs and deliver solutions.Implement and champion data quality, governance, and security best practices across the platform.Requirements3+ years of experience as a Data Engineer or in a similar data infrastructure role.Strong proficiency in SQL and hands-on experience with data modeling.Experience with data lake/lakehouse architectures (e.g., Apache Iceberg, S3,



or similar).
Experience with analytical / columnar databases (e.g., ClickHouse or similar).
Experience building and orchestrating ETL/ELT pipelines (e.g., Temporal, Airflow, or similar).
Strong programming skills in Python and/or Scala/Java.Experience working within a microservices architecture and cloud environments (AWS preferred).
Self-motivated, strong multitasking skills, and a demonstrated team player.Excellent communication skills and the ability to work both independently and collaboratively.Hands-on experience with Apache Spark (or similar technologies) for large-scale data processing.Professional proficiency in written and spoken English.Note: this role is focused on batch data processing (not real-time streaming).
Nice to HaveExperience working with and contributing to open-source data platforms and tools.Familiarity with BI and visualization tools (e.g., Superset, Looker, Tableau, Metabase, or similar).
Experience with containerization and orchestration (Docker, Kubernetes).
Experience with infrastructure-as-code and CI/CD practices.Experience with AWS EMR and running Apache Spark workloads in a cloud environment.Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to boost engineering productivity.
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📌 Data Engineer Latam (Bogotá)
🏢 onebeat
📍 Bogotá