Data Engineering & Platforms Lead

Jacobs Douwe Egberts UK; Utrecht; On-site; EUR 90,000 - 130,000; Full time

Job summary

JDE Peet’s is seeking a Data Engineering & Platform Lead to guide the Data Engineering & Platform chapter. You will own architecture, platform standards and the reliability of the Data & AI platform, partnering with IT, security and product teams to deliver scalable data products and AI solutions.

You will lead a high-performing data engineering team, drive DataOps and MLOps practices, and manage cost and vendor relationships while aligning with enterprise standards.

Qualifications

• Bachelor's or Master's degree in data engineering, platform engineering or solution architecture, with leadership experience.
• Deep expertise across modern Data & AI platforms (Azure, Databricks) and cloud-native data architectures.
• Strong experience with data engineering practices, SQL, Python, Spark, CI/CD and DevOps.

Responsibilities

• Lead, develop and grow the Data Engineering & Platform chapter, building a high-performing team culture.
• Define and maintain engineering, architecture and platform standards across the Data & AI function, ensuring DataOps, MLOps, IaC and security best practices.
• Own end-to-end solution architecture across the Data & AI tech stack, ensuring scalable, secure and enterprise-aligned solutions.
• Lead the development and operation of data pipelines, platform capabilities and SAP integrations for trusted data products and AI solutions.
• Drive platform reliability, security, DevOps and MLOps capabilities, including CI/CD, automation, monitoring, governance and support.
• Manage platform costs, vendor relationships and roadmaps, identifying opportunities for optimization and innovation.

Skills

Leadership

Stakeholder management

Communication

Data engineering

Education

Bachelor's or Master's degree in a relevant field

Tools

Microsoft Azure

Databricks

SAP integration technologies

Cloud-native data architectures

SQL

Python

Spark

CI/CD

Infrastructure as Code

Job description

Job Description

The Data Engineering & Platform Lead is responsible for leading the Data Engineering & Platform chapter within the Data & AI function and owns the architecture, engineering standards, reliability, security, and cost efficiency of the Data & AI platform. Reporting to the Chief Data Officer, this role enables the successful delivery of Data & AI products by providing the technology foundations, data pipelines, platform services, and architecture guidance required across the organization. The role acts as the senior technology counterpart to IT teams, enterprise architecture, security, and external technology partners, ensuring scalable and compliant solutions are delivered. Working closely with Product Managers and engineering teams, the Data Engineering & Platform Lead drives platform innovation, operational excellence, and modern engineering practices. Success is measured through platform reliability, engineering quality, delivery enablement, cost optimization, and the development of a high-performing engineering organization.

• Information Technology


• Utrecht


• Full-time


• Netherlands

• Lead, develop and grow the Data Engineering & Platform chapter, including engineers, architects and platform specialists, while building a high-performing team culture.


• Define and maintain engineering, architecture and platform standards across the Data & AI function, ensuring consistent adoption of DataOps, MLOps, Infrastructure as Code and security best practices.


• Own end-to-end solution architecture across the Data & AI technology stack, ensuring solutions are scalable, secure, performant and aligned with enterprise standards.


• Lead the development and operation of data pipelines, platform capabilities and SAP integrations that enable trusted, high-quality data products and AI solutions.


• Drive platform reliability, security, DevOps and MLOps capabilities, including CI/CD, automation, monitoring, governance and operational support.


• Manage platform costs, vendor relationships and technology roadmaps while continuously identifying opportunities for platform optimization and innovation.

Qualifications

Working at JDE Peet’s is hands-on, giving you the chance to leave your mark while working together as one team. We’re a fast‑paced company on a mission, focused on what matters most. Our environment demands energy, agility, and bold thinking. If you’re ready to make an impact and grow in a global team, JDE Peet’s is the place for you.

For this role as a Data Engineering & Platform Lead, we're looking for someone who has the following skills and experience:

• Bachelor's or Master's degree and extensive experience in data engineering, platform engineering and/or solution architecture, including leadership of engineering teams.


• Deep expertise across modern Data & AI platforms, including Microsoft Azure, Databricks, SAP integration technologies and cloud-native data architectures.


• Strong experience with data engineering practices, SQL, Python, Spark, CI/CD, Infrastructure as Code, DevOps and platform automation.


• Proven experience defining architecture standards and translating complex technical decisions into business value for senior stakeholders.


• Strong understanding of MLOps, AI platform operations, cloud security, governance, cost management and compliance requirements.


• Excellent leadership, stakeholder management and communication skills, with the ability to drive innovation while balancing architectural integrity and delivery speed.

Additional Information

A pre-employment check can be part of the recruitment process.

Company Description

What’s it like to work at JDE Peet’s?

We believe amazing things happen over a cup of coffee. Together, we create those moments every day, turning ideas into impact and possibilities into reality. At JDE Peet’s, we work as one team guided by our values: we Dare to Amaze, Own It, Make It Simple, and Win Together. Here, you’ll find the freedom to innovate, the courage to take bold steps, and the support to grow your career in a global environment.