Data and Analytics DevOps Engineer

Deltek Systems (Philippines), Ltd.; Makati; On-site; PHP 800,000 - 1,600,000; Full time

Job summary

Deltek Systems (Philippines), Ltd. is seeking a DevOps/Data Platform Engineer to build and maintain CI/CD pipelines for data workloads, support Snowflake and Fivetran operations, and enable BI deployments across multiple environments.

You will collaborate with Data Engineering, BI, Infrastructure, Security, and Data Science teams to improve platform reliability and automate routine tasks using scripting and APIs.

Qualifications

• 3–5 years of experience in DevOps, Data Engineering, platform engineering, analytics engineering, or a related role.
• Hands‑on experience with Azure DevOps, Git, CI/CD pipelines, and release processes.
• Working knowledge of Snowflake or a comparable cloud data platform.
• Experience with SQL and deploying data or analytics solutions across multiple environments.
• Familiarity with dbt or similar data transformation and modeling technologies.
• Experience with scripting or automation using Python, PowerShell, SQL, APIs, or similar tools.
• Strong troubleshooting and problem-solving skills.
• Ability to work effectively across Data Engineering, BI, and infrastructure teams.

Responsibilities

• Build and maintain Azure DevOps CI/CD pipelines for Data Engineering, dbt, Snowflake, and analytics workloads.
• Support deployment and promotion of data models, database objects, pipelines, and configurations across development, test, and production environments.
• Provide day‑to‑day operational support for Snowflake, including environment configuration, maintenance, monitoring, performance, access, and troubleshooting.
• Support Fivetran connectors and data integration processes, including monitoring failures, schema changes, and data movement.
• Support DevOps and operational processes for Power BI, including deployment pipelines, workspaces, semantic models, gateways, connections, and refresh monitoring.
• Automate recurring platform administration, deployment, and support activities using scripting, APIs, and workflow automation.
• Support data catalog administration, security, governance, and platform connectivity.
• Assist with integrations to AI and automation technologies such as n8n, Snowflake MCP, and related tools.
• Maintain deployment standards, operational documentation, and support runbooks.
• Partner with Data Engineering, BI, Infrastructure, Security, and Data Science teams to improve platform reliability and operational efficiency.
• Assist with Data Science and ML deployment processes as those capabilities mature.

Skills

Azure DevOps

Git

CI/CD pipelines

SQL

Python

PowerShell

APIs

troubleshooting

team collaboration

Tools

Snowflake

dbt

Fivetran

n8n

Snowflake MCP

Power BI

Job description

Responsibilities:

• Build and maintain Azure DevOps CI/CD pipelines for Data Engineering, dbt, Snowflake, and analytics workloads.

• Support deployment and promotion of data models, database objects, pipelines, and configurations across development, test, and production environments.

• Provide day‑to‑day operational support for Snowflake, including environment configuration, maintenance, monitoring, performance, access, and troubleshooting.

• Support Fivetran connectors and data integration processes, including monitoring failures, schema changes, and data movement.

• Support DevOps and operational processes for Power BI, including deployment pipelines, workspaces, semantic models, gateways, connections, and refresh monitoring.

• Automate recurring platform administration, deployment, and support activities using scripting, APIs, and workflow automation.

• Support data catalog administration, security, governance, and platform connectivity.

• Assist with integrations to AI and automation technologies such as n8n, Snowflake MCP, and related tools.

• Maintain deployment standards, operational documentation, and support runbooks.

• Partner with Data Engineering, BI, Infrastructure, Security, and Data Science teams to improve platform reliability and operational efficiency.

• Assist with Data Science and ML deployment processes as those capabilities mature.

Qualifications:

• 3–5 years of experience in DevOps, Data Engineering, platform engineering, analytics engineering, or a related role.

• Hands‑on experience with Azure DevOps, Git, CI/CD pipelines, and release processes.

• Working knowledge of Snowflake or a comparable cloud data platform.

• Experience with SQL and deploying data or analytics solutions across multiple environments.

• Familiarity with dbt or similar data transformation and modeling technologies.

• Experience with scripting or automation using Python, PowerShell, SQL, APIs, or similar tools.

• Strong troubleshooting and problem-solving skills.

• Ability to work effectively across Data Engineering, BI, and infrastructure teams.