Senior Data Engineer

Shape the Data Foundation Behind a Scalable, Regulated Enterprise

A large, multi-business organization is expanding its cloud data engineering capability and is hiring a Senior Data Engineer to support the evolution of its analytics and reporting platforms. This role focuses on building durable, well-governed data pipelines and enabling reliable access to data across analytics, reporting, and application use cases.

This is a hands-on, senior-level position for an engineer who enjoys working close to the platform, owns systems end-to-end, and contributes to technical standards in a cloud-first environment.

Core Responsibilities

• Engineer and maintain distributed data pipelines supporting analytics and operational workloads
• Develop and optimize data processing solutions using Databricks and Spark-based frameworks
• Contribute to cloud platform architecture within an Azure environment, emphasizing scalability, security, and maintainability
• Implement data ingestion patterns across APIs, databases, flat files, and streaming sources
• Build and manage transformation workflows using Python, SQL, and Spark
• Design and maintain analytical data models optimized for performance and reliability
• Apply governance, access controls, and lineage practices appropriate for regulated datasets
• Support orchestration and scheduling of complex workflows using modern automation tools
• Partner with analytics, reporting, and downstream application teams to enable reliable data consumption
• Improve deployment, testing, and operational processes through CI/CD and automation

Experience & Qualifications

• Strong background in data engineering, ETL/ELT design, and analytical data modeling
• Advanced SQL and Python skills, including query optimization and performance tuning
• Hands-on experience with Databricks and Spark in enterprise-scale environments
• Familiarity with Azure-native services and cloud infrastructure patterns
• Experience working in environments with heightened data governance, compliance, or security requirements
• Ability to operate independently while collaborating effectively across technical and non-technical teams

What Sets This Opportunity Apart

• Work on a mature, business-critical data platform with real-world scale
• High degree of ownership and influence over engineering patterns and standards
• Long-term investment in platform modernization rather than one-off projects
• Competitive compensation and full benefits offering
• Emphasis on stability, sustainability, and career longevity
• Support for ongoing learning, training, and professional development