Engineering Director

dunnhumby is the global leader in Customer Data Science empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the worlds most competitive markets with a deluge of multi-dimensional data dunnhumby today enables businesses all over the world across industries to be Customer First.

dunnhumby employs nearly 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco Coca-Cola Meijer Procter & Gamble and Metro.

We are seeking a dynamic and experienced Engineering Directorto lead the design development and optimization of a cutting-edge Retail Media Intelligence and Real-Time Processing Platform.
This role will oversee all advertiser- agency- and CPG-facing demand products including campaign planning insights generation and media measurement modules.

As a senior technology leader you will define the engineering vision guide product teams and drive innovation across media planning AI/ML-powered insights and real-time data systems. You will collaborate closely with Product Management Data Science and UX Research to deliver scalable intelligent solutions that enable clients to plan optimize and measure campaigns effectively across onsite offsite and in-store channels.

Key Responsibilities

Strategic & Technical Leadership

• Define and execute the engineering vision for the Retail Media Intelligence and Real-Time Processing Platform.
• Lead multiple engineering teams responsible for scalable APIs real-time data processing and machine learningbased recommendation systems.
• Collaborate with cross-functional teams to translate business requirements into high-performing technical architectures.
• Drive innovation through adoption of domain-driven design microservices and event-driven architecture.
• Ensure timely delivery adherence to SLAs and alignment with overall business and product strategy.

Platform Engineering & Delivery

• Oversee the development of real-time data processing systemsusing technologies such as Apache Kafka Flink and Spark.
• Architect and scale data pipelines that integrate retailer loyalty transaction and media performance data.
• Build and operationalize AI/ML modelsthat recommend optimal campaign strategies audience segments and performance forecasts.
• Ensure engineering excellence through robust DevOps practices CI/CD automation and continuous monitoring.

Data & Insights Enablement

• Partner with analytics and BI teams to deliver data productsand visualization toolsvia platforms like Looker Power BI or ThoughtSpot.
• Enable self-serve insights for stakeholders to measure performance incrementality and multi-touch attribution.
• Integrate predictive intelligence and planning capabilities into the broader media ecosystem for real-time decisioning.

People Leadership & Governance

• Manage coach and develop a high-performing engineering organization distributed across multiple locations.
• Establish a culture of innovation collaboration and continuous improvement.
• Define and track KPIs for engineering performance quality and delivery efficiency.
• Manage budget planning capacity forecasting and technical risk mitigation.
• Promote organizational values ensuring compliance with the Code of Business Conduct and support team development through training and mentorship.

Required Skills and Qualifications

Experience:

1218 years of experience in software engineering including 5 years in senior engineering leadership roles.

Proven experience in retail media adtech or martech preferably within a DSP SSP or Retail Media Networkenvironment.

Demonstrated success in developing real-time processing systems scalable APIs and data-driven recommendation platforms.

Strong background in distributed systems Apache Kafka event-driven architecture and cloud-native development.

Experience building and deploying AI/ML-enabled insights or planning systems for marketing and media optimization

Technical Expertise:

Proficiency in .NET/Java Kafka Flink Spark GCP/AWS Kubernetes REST/GraphQL APIs and modern BI tools.

Solid understanding of microservices DDD CI/CD pipelines observability and DevOps frameworks.

Leadership Competencies:

Strategic and hands-on leader capable of managing distributed teams and balancing innovation with delivery.

Strong collaboration communication and stakeholder management skills.

Ability to translate complex technical concepts into clear business impact.

Preferred Qualifications

Prior experience leading platform or product engineering for retail media planning measurement or campaign optimizationtools.

Familiarity with audience targeting programmatic advertising campaign booking systems and media lifecycle management.

Exposure to GDPR CCPA and retail data governance standards.

Advanced degree in Computer Science Engineering or related field

What we expect from you

• Degree or equivalent in a relevant subject.
• Certified Agile Product Owner
• Product management experience across the product lifecycle
• Strong communicator who can work with commercial and technical teams
• Experience of running scrum teams

What you can expect from us

We wont just meet your expectations. Well defy them. So youll enjoy the comprehensive rewards package youd expect from a leading technology company. But also a degree of personal flexibility you might not expect. Plus thoughtful perks like flexible working hours and your birthday off.

Youll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble small-business feel that gives you the freedom to play experiment and learn.

And we dont just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network dh Proud dh Family dh One dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working

At dunnhumby we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others so if this is important to you please raise this with your recruiter as we are open to discussing agile working opportunities during the hiring process.

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