Hybrid Principal Engineer, Data Platforms

at Takeaway.com

• Job title: Principal Engineer, Data Platforms
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Ansible, AWS, BigQuery, Cloud, Distributed Systems, Google Cloud Platform, Kafka, Prometheus, Python, Scala, Terraform, Go
• Location requirements: Hybrid, Amsterdam, Netherlands

About the role

• Principal Engineer leading data platforms for Just Eat Takeaway.com. Defining technical vision and mentoring engineers in a hybrid work environment.

Responsibilities

• Define the long-term technical vision and roadmap for our modern Data Platform, Mobius (including Data Warehousing, Data Lake, Streaming, and Governance tooling).
• Design and govern the reference architecture for core data infrastructure, ensuring optimal scalability, reliability, and security.
• Act as a hands-on contributor, tackling the most complex technical challenges and providing code-level guidance for critical components.
• Establish and enforce technical standards for code quality, observability, and Infrastructure-as-Code (IaC) across all data platform teams.
• Act as a technical mentor and coach for Senior and Staff Engineers, raising the technical bar across the organisation.
• Focus on platform engineering principles to improve the developer experience, velocity, and efficiency of all data engineering teams.
• Lead the evaluation, prototyping, and adoption of new data technologies, balancing industry best practices with business needs.

Requirements

• Extensive experience in software and data engineering, with provable experience operating at a Principal, Staff, or equivalent level.
• Deep proficiency across the modern data stack (Snowflake, BigQuery, Delta Lake, Iceberg, Kafka, Flink).
• Proven track record designing scalable, self-service data platforms using cloud-native services (AWS/GCP) and infrastructure automation (Terraform, Ansible).
• Expert proficiency in Python, Scala, or Go, and extensive experience with data transformation frameworks (Airflow, dbt).
• Exceptional ability to synthesise complex requirements into simple, elegant, and maintainable architectural designs.
• Strong communication skills with the ability to influence and align engineering, product, and executive stakeholders.
• Results-driven mindset with the ability to execute quickly, adapt to change, and thrive in high-growth, fast-paced environments.
• Experience in a rapidly scaling organisation focused on building distributed systems.
• Familiarity with data governance, lineage, and observability tools (e.g., Datadog, Prometheus, Open Telemetry).
• Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle.

Benefits

• Inclusion, Diversity & Belonging
• Professional development opportunities