Data Engineer - Enterprise Data Platforms

Contract: 4-6 months (strong extension potential)

Compensation: Based on experience

Start Date: Late March 2026

About the Opportunity: AGT Software Partners is seeking experienced Data Engineers to join two distinct global enterprise data transformation programs. You'll work on scalable, cloud-native data warehouse platforms supporting high-visibility analytics ecosystems for international clients.

We're hiring for two separate projects, each with strong potential for contract extension based on performance and project continuation.

Project Details:

Project 1 - UK Aligned

• Positions: 7 Data Engineers
• Duration: 4 months (extension expected)
• Timezone: London, UK

Project 2 - APAC Aligned

• Positions: 4 Data Engineers
• Duration: 6 months (extension expected)
• Timezone: Sydney, Australia

What You'll Do:

• Design and build scalable, production-grade data pipelines for enterprise data warehouses
• Develop cloud-native solutions on AWS and GCP
• Write optimized SQL including complex analytical and window functions
• Build and manage data transformations using dbt and BigQuery
• Orchestrate workflows with Apache Airflow
• Implement comprehensive data validation and quality frameworks
• Apply CI/CD best practices using GitHub or Bitbucket
• Collaborate within Agile teams using JIRA and Confluence

Must Have:

• 5-8+ years of hands-on Data Engineering experience
• Strong production experience with AWS and GCP
• Proven track record delivering enterprise-grade data pipelines for data warehouses
• Advanced SQL proficiency (analytical functions, window functions, optimization)
• Hands-on experience with dbt and BigQuery
• Experience orchestrating workflows using Apache Airflow
• Familiarity with CI/CD pipelines and version control (Git)
• Experience with data quality and validation frameworks
• Experience working in Agile/Scrum environments (JIRA, Confluence)

Nice to Have:

• Experience with Snowflake, Redshift, or other cloud data warehouses
• Python proficiency for custom data processing and scripting
• Knowledge of data modeling methodologies (Kimball, Data Vault)
• Experience with data observability or testing frameworks (Great Expectations, dbt tests)
• Familiarity with Terraform or Infrastructure as Code (IaC)
• Experience with real-time streaming platforms (Kafka, Kinesis, Pub/Sub)
• Background in financial services or regulated industries
• Previous experience working with global/distributed teams across multiple timezones

Location Preferences:

We are prioritizing candidates in the following order:

1. Hyderabad, Telangana (local candidates strongly preferred)
2. India (remote)
3. Bangladesh (remote)

Work Model: Fully Remote

What We Offer:

• Work on enterprise-scale cloud data modernization initiatives
• Collaborate with global teams across UK and APAC regions
• Gain exposure to complex, production-level data ecosystems
• Join a collaborative, engineering-focused environment
• Long-term engagement opportunities with contract extensions

Ready to Apply?

If you're a skilled Data Engineer looking to work on impactful global enterprise platforms with strong extension potential, we'd love to hear from you.

Please answer the screening questions when applying - they help us match you with the right project.

Apply now or reach out directly for more information.