Full-Time

Lead Engineer

Confirmed live in the last 24 hours

dunnhumby

dunnhumby

1,001-5,000 employees

Customer data analytics for retail marketing

Data & Analytics
Consulting
Venture Capital
Consumer Goods

Expert

London, UK

Category
Backend Engineering
Software Engineering
Required Skills
Agile
Apache Kafka
Java
Microservices
Development Operations (DevOps)

You match the following dunnhumby's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 10+ years of hands-on experience in data engineering, including designing and managing real-time processing platforms.
  • Strong expertise in Java and related technologies
  • Proven experience in developing scalable APIs and real-time data processing systems
  • Strong background in Apache Kafka and distributed systems
  • Proven experience in applying domain-driven design to drive architecture and microservices domains
  • Experience in developing cloud-native applications
  • Solid understanding of cloud platforms, microservices and event-driven architecture
  • Experience with Agile methodologies and DevOps practices
  • Excellent communication and interpersonal skills
  • Strong problem-solving abilities and attention to detail
Responsibilities
  • Provide technical expertise to a team of engineers in designing, developing, and maintaining a high-performance measurement platform for retail media
  • Develop scalable APIs and real-time data processing solutions
  • Collaborate with cross-functional teams to translate business requirements into technical specifications
  • Implement best practices for code quality, testing, and deployment in Java
  • Mentor and develop team members, fostering a culture of continuous learning and innovation
  • Stay updated on emerging technologies and industry trends in retail media and Java
Desired Qualifications
  • Experience in retail media or adtech industry
  • Familiarity with big data technologies and stream processing frameworks like Apache Beam, Flink
  • Experience with containerization technologies (e.g., Docker, Kubernetes)

dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company analyzes customer behavior, preferences, and trends to provide insights that help clients create targeted marketing campaigns. By using unique identifiers instead of storing personal information, dunnhumby ensures privacy while delivering actionable insights. Unlike many competitors, dunnhumby not only offers data analytics services but also invests in early-stage retail technology startups through its venture fund, keeping it aligned with the latest innovations in the industry. The main goal of dunnhumby is to empower businesses to improve customer engagement and drive sales through personalized marketing strategies.

Company Stage

Acquired

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

1989

Simplify Jobs

Simplify's Take

What believers are saying

  • Real-time data analytics partnerships enhance dunnhumby's market adaptability.
  • AI-powered tools position dunnhumby as a leader in competitive retail analysis.
  • The Retail Innovation Network fosters collaboration, boosting innovation in retail technology.

What critics are saying

  • Departure of key media team member may disrupt dunnhumby's media strategy.
  • Challenges in integrating startups with enterprises could misalign innovation goals.
  • Data privacy concerns may arise from partnerships, affecting client trust.

What makes dunnhumby unique

  • dunnhumby leverages AI to optimize product selection and inventory management.
  • The company offers a unique Competitive Threat Evaluator for strategic market insights.
  • dunnhumby partners with startups through its Retail Innovation Network to drive retail tech.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Remote Work Options