Principal Engineer, Data Platforms

Just Eat Takeaway.com • Amsterdam, OH

2d • Hybrid

About The Position

Principal Engineer, Data Platforms Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role We are seeking a highly accomplished and visionary Principal Engineer to join our Data Platforms leadership team. You will serve as the top technical authority, reporting directly to the Director of Engineering, and closely pairing with the Head of Engineering. This role defines the technical strategy and architecture that enables our organisation of 50+ engineers to build and operate robust, scalable, and high-performance data systems. We value your ability to lead on strategy, deliver technical excellence, and care for the continuous growth of our engineering team. Location: Hybrid - 3 days a week from our London or Amsterdam office & 2 days working from home Reporting to: Director of Engineering

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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees