Operations Engineer (Data Operations & Production Support)

? Remote ? Colombia

About the Role

Our client’s Operations & Engineering team is looking for an Operations Engineer to support operational workflows, data integrity, and client deliverables across client-facing platforms.

You’ll report to the Director of Operations & Analytics. Your focus will be monitoring, managing, and optimizing ingestion and post-ingestion pipelines so the team meets its SLAs and clients have a seamless experience. You’ll work with engineering, product, and client success teams to keep operations excellent, reduce risk, and drive continuous improvement in a fast-paced environment.

What You’ll Do

- Monitor operational workflows and system processes (data ingestion, post-ingestion, and UI delivery) to keep service running smoothly.
- Monitor application health and troubleshoot using runbooks and documentation.
- Investigate root causes of business operations issues, and develop and implement corrective actions.
- Log issues, delays, and anomalies accurately, and escalate critical problems per internal protocols.
- Respond to client queries promptly and professionally, within defined timelines.
- Deliver outputs accurately and within agreed SLAs.
- Work with Engineering, Product, and Client Success to resolve incidents, align expectations, and improve processes.
- Keep detailed records of incidents, client interactions, and operational metrics for reporting, audits, and analysis.
- Spot recurring issues and help design preventive measures and long-term solutions.
- Use SQL, Shell scripting, and Python for technical operations support.




- Support automation and workflow improvements to increase efficiency.

Required Qualifications

- 4+ years in operations, data engineering, or production support roles.
- Proven hands-on experience querying and analyzing data with MySQL and Advanced Excel .
- Linux basics and networking fundamentals.
- Experience with cloud technologies such as AWS .
- Familiarity with workflow orchestration ( Airflow ), cloud infrastructure, and containerization ( Kubernetes ).
- Strong analytical and troubleshooting skills.
- Strong communication, documentation, and cross-team collaboration skills.
- Ability to work in a fast-paced, client-focused environment.
- Proactive, detail-oriented, and committed to continuous improvement.

Preferred Qualifications

- Experience in SaaS, energy, or data-driven industries.
- Datadog or similar health monitoring systems.
- PySpark, data integration, ETL, data quality and controls, data analysis, reporting, and testing.
- Familiarity with UI-based client platforms and Excel API integrations.
- Monitoring and alerting tools, including custom scripting.
- Git, Agile methodologies, and Jira or similar issue trackers.

Technical Environment SQL · MySQL · Python · Shell scripting · Advanced Excel · Linux · Networking · AWS · Airflow · Kubernetes

Nice to have: Datadog · PySpark · ETL · Git · Jira

Core Competencies

Analytical troubleshooting · Root cause analysis · SLA ownership · Client communication · Documentation discipline · Continuous improvement

Why Join Us

You’ll be at the heart of a data-driven SaaS operation. You’ll keep critical client deliverables on time, work closely with engineering and product, and help automate how operations run.

📌 Operations Engineer (Data Operations & Production Support) (Colombia)
🏢 Unosquare
📍 Colombia