Data Engineer
Job Description
We are looking for a Data Engineer to design, build, and maintain robust data pipelines that power analytics, reporting, and AI-driven solutions. The role focuses on integrating data from complex, multi-source enterprise environments and ensuring data quality, security, and governance across the data platform.
Key Responsibilities
• Build and maintain reliable, scalable data pipelines (ETL / ELT)
• Integrate data from Pega, ServiceNow, Cerillion, network systems, digital channels, and call analytics platforms
• Implement data quality checks, monitoring, and validation rules
• Define and enforce data governance, lineage, and documentation practices
• Ensure secure, trusted, and AI-ready data foundations
• Collaborate with Data Science, GenAI, and analytics teams to support downstream use cases.
Requirements
Required Skills & Experience
• Strong hands-on experience in data engineering roles
• Excellent skills in SQL and Python
• Proven experience building ETL / ELT pipelines
• Solid understanding of data quality, data lineage, and governance frameworks
• Experience working with large-scale, multi-source data environments
• Fluent English (written and spoken)
Nice to Have
• Experience with cloud data platforms and modern data stacks
• Familiarity with streaming or near-real-time data pipelines
• Experience supporting AI, ML, or GenAI workloads
About Division5
For 10+ years, we've created solutions that improve lives. We tackle complex projects others avoid. Our DNA: boldness and courage. We say yes when others say no.
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