Senior Data Engineer

As a Data Engineer at Glue Reply you drive strategic data initiatives across cloud-based platforms and transformation programs. You combine hands-on technical work with leadership to define requirements, guide delivery, and collaborate with client and internal teams. You design scalable data models and pipelines to deliver accurate, reliable data for stakeholders. This role offers the chance to shape data solutions in a fast-paced, outcomes-focused environment and work closely with cross-functional teams to impact client platforms.

• Lead data workstreams across customer data platforms (CDP) and digital transformation projects
• Translate business needs into scalable technical solutions and delivery plans
• Scope new projects, define resource requirements, and guide roadmaps with clients
• Present progress and solution options to technical and non-technical stakeholders
• Design and manage complex data models across multiple systems and touchpoints
• Build and optimize ETL/ELT pipelines with monitoring and troubleshooting
• Advise on downstream data usage, reporting, analytics best practices, and DevOps processes

• 5–7 years’ experience in data engineering
• Proven experience with CDP implementations or large-scale martech/data projects
• Comfortable leading client-facing technical engagements from roadmap to delivery
• Strong knowledge of SQL, Python, and modern ETL tooling (Airflow, DBT, Spark)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data stack components
• Agile delivery experience with sprint/backlog/project documentation
• Curious mindset with a passion for emerging technologies, especially AI

• client-facing communication
• cross-functional collaboration
• agile delivery
• SQL
• Python
• Airflow