Cloud FinOps Data Engineer - Flexible Work & Certifications

Accenture in the Philippines

Mandaluyong

On-site

PHP 800,000 - 1,100,000

Full time

2 days ago
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Benefits offered by this job

13th Month Pay
HMO & Life Insurance Coverage
Expanded maternity leave up to 120+ 30
Expanded paternity leave
Flexible Working Arrangements
Career trainings & certifications

Job summary

Accenture in the Philippines seeks a FinOps professional to own cost and usage data across cloud providers. You will automate data processes and build dashboards with SQL, Python, and BigQuery to support cost optimization.

Ideal candidates have 4–8 years in IT with cloud analytics experience, strong Agile background, and knowledge of AWS/Azure/GCP. Role offers growth and learning opportunities in a global network.

Qualifications

  • 4–8 years of IT experience.
  • 3–4 years developing data & analytics products in the cloud.
  • Technical stack includes SQL, Python, Google BigQuery, Power BI and Excel.
  • Good understanding of cloud costing and billing.
  • Knowledge of cloud provisioning with infrastructure as code.
  • Experience in a mature Agile environment.

Responsibilities

  • Be a subject matter expert on cost and usage data across cloud providers.
  • Develop data pipelines, reports, and metrics via automated solutions for FinOps teams.
  • Evaluate and tackle complex problems and understand business implications.
  • Enable a cost-conscious culture via data and insights.
  • Contribute to the Multi-cloud FinOps roadmap.
  • Participate in product evaluations and design reviews to align with platform goals.

Skills

SQL
Python
BigQuery
Power BI
Excel
Cloud Costing
Infrastructure as Code
Agile
Analytical Skills

Education

Bachelor’s or Master’s in IT or analytics
MBA/engineering

Tools

AWS
Azure
GCP

Job description

Accenture in the Philippines seeks a FinOps professional to own cost and usage data across cloud providers. You will automate data processes and build dashboards with SQL, Python, and BigQuery to support cost optimization.

Ideal candidates have 4–8 years in IT with cloud analytics experience, strong Agile background, and knowledge of AWS/Azure/GCP. Role offers growth and learning opportunities in a global network.

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