Excel as a FinOps Data Platform Engineer in a hybrid role, focusing on data engineering, analytics, and financial data analytics. Join our client to build data pipelines and enhance data quality. Our client seeks a data qualified with 5-10 years of experience in data engineering, analytics engineering, or BI engineering.

The role emphasizes creating and maintaining FinOps data pipelines while integrating financial data across systems. Strong skills in SQL, ETL/ELT pipelines, and experience with data platforms like Databricks or Snowflake are essential for success. Key Responsibilities:

- Build FinOps data pipelines from ingestion to reporting
- Normalize technology spend data across various sources
- Integrate multiple data points, including billing and contract data
- Create trusted datasets for detailed cost reporting
- Automate processes to reduce manual reporting effort Requirements:
- 5-10 years in data engineering or financial analytics
- Degree in Computer Science, Finance, or related field
- Proficient in SQL and data modeling
- Experience with BI tools like Power BI or Tableau
- Strong data quality and governance knowledge Shape data solutions that empower financial decisions with insights and analytics.

📌 Hybrid FinOps Data Platform Engineer (Toronto)
🏢 IT Accel
📍 Toronto