Lead Data Engineer

Just Eat Takeaway.com is a leading global online delivery platform, and they are seeking a Lead Data Engineer to join their Canadian Data & Analytics organization. The role involves designing and developing data infrastructure, optimizing data resources, and providing technical leadership while mentoring other engineers.

Responsibilities:

• Architect the Semantic Layer: Lead the design and development of gold-tier DBT models and BigQuery resources to ensure a reusable, consistent, and governed data warehouse architecture
• Provide Technical Leadership: Act as the senior technical authority on the team, partnering with the Senior Manager to shape the data engineering roadmap and architectural decisions
• Bridge Global & Local Teams: Serve as the primary liaison between local and global engineering teams, translating global architecture patterns into local implementations
• Drive Pipeline Excellence: Design, build, and optimize scalable, high-performance batch and streaming ELT pipelines using Airflow, DBT, and BigQuery
• Advance Streaming Strategy: Support AWS-hosted production systems and spearhead the adoption of real-time ingestion patterns (e.g., Kafka, Datastream)
• Champion Data Governance: Establish robust data quality frameworks, testing standards, and observability practices to ensure enterprise-wide consistency and compliance
• Mentor & Coach: Foster a culture of engineering excellence by mentoring data and analytics engineers, conducting code reviews, and driving continuous improvement

Requirements:

• 6+ years in data engineering with a track record of leading architectural decisions for complex, large-scale data platforms
• Expert-level proficiency in BigQuery, DBT, and Airflow, with the ability to defend choices and mentor others in modeling and orchestration
• Deep understanding of dimensional modeling, semantic layer design, and medallion/lakehouse architecture patterns
• Hands-on experience building and managing both batch and streaming pipelines, alongside familiarity with AWS data services (S3, Glue, Kinesis, RDS)
• Demonstrated experience establishing or contributing to organizational data governance and data quality frameworks
• Exceptional technical communication skills, with a proven ability to translate complex architecture for stakeholders and raise the team's technical bar
• Experience with Kafka, federated/hub-and-spoke organizational models, or high-velocity marketplace/food delivery platforms