Data Engineer

Engineering & Delivery

• Build, maintain, and optimize data pipelines for batch and streaming workloads.
• Develop reliable data models and transformations to support analytics, reporting, and operational use cases.
• Integrate new data sources, APIs, and event streams into the platform.
• Implement data quality checks, testing, documentation, and monitoring.
• Write clean, performant SQL and Python code.
• Contribute to improving performance, scalability, and cost-efficiency across the data platform.

Collaboration & Teamwork

• Work closely with other senior engineers and architects to implement architectural patterns and best practices.
• Collaborate with analysts and data scientists to translate requirements into technical solutions.
• Participate in code reviews, design discussions, and continuous improvement initiatives.
• Help maintain clear documentation of data flows, models, and processes.

Platform & Process

• Support the adoption and roll-out of new data tools, standards, and workflows.
• Contribute to DataOps processes such as CI/CD, testing, and automation.
  • Assist in monitoring pipeline health and resolving data-related issues.