Data Engineer

Data Engineer

Location: Vietnam – Fully Remote

Experience: 3–6+ years

We are looking for a hands-on Data Engineer to build and maintain data pipelines supporting cybersecurity analytics and reporting. You will work with high-volume log and telemetry data, using Python and SQL to transform information from security and cloud platforms into reliable, analytics-ready datasets.

This would suit a data engineer who enjoys working with complex, semi-structured data and is interested in applying their engineering skills within a cybersecurity environment in a fully remote set-up.

What You'll Do

• Build and optimise ETL/ELT pipelines using Python, SQL and modern data-processing frameworks.
• Ingest and transform high-volume security telemetry including JSON, syslog, XML and API-based data.
• Develop reusable datasets and data models supporting threat analytics, detection and reporting.
• Partner with cybersecurity teams to integrate data from SIEM, EDR, Splunk, Cribl and cloud telemetry sources.

What We're Looking For

• 3–6+ years of experience in Data Engineering / ETL development, with strong Python and SQL skills.
• Experience handling semi-structured or JSON-heavy datasets and cloud data warehouses such as Snowflake or BigQuery.
• Exposure to log-management or security platforms such as Splunk, Cribl, Elastic, SIEM or EDR.
• Comfortable working with Git, CI/CD and modern engineering practices, with good English communication skills.

Nice to Have

Experience with Snowpark, dbt, Airflow, cloud log ingestion or cybersecurity concepts such as MITRE ATT&CK, SOC workflows or detection engineering would be advantageous.

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.