Insight Global’s client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions.
The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, CI/CD best practices, and a solid understanding of data warehousing principles. Experience with Snowflake, Airflow, Terraform, infrastructure as code, and exposure to financial and operational data domains will be a plus.
Please note this is a 6 month contract‑to‑hire position and you will be required to be on‑site 5 days a week out of the London office.
Day to Day
* Develop and maintain Azure-based data pipelines for Finance and Operations.
* Build and optimize ETL workflows using SQL and dbt.
* Write Python scripts for data transformation and automation.
* Deploy infrastructure as code and manage cloud data solutions.
* Collaborate with project managers and contractors across global teams.
* Ensure data quality and compliance with best practices.
* Troubleshoot and resolve data-related issues promptly.
* Document technical solutions and maintain test scripts.
Must Haves
* Expertise in Azure (cloud platform)
* Advanced SQL for ETL and query optimization
* dbt for data transformation pipelines
* Python for data transformation and automation scripts
* Data warehousing and ETL best practices
Plusses
* Experience with Snowflake, Airflow, Terraform
* Familiarity with infrastructure as code
* Ability to participate in architectural decisions
* Strong problem‑solving and continuous improvement mindset
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