Full-Time

Lead Engineer

Confirmed live in the last 24 hours

dunnhumby

dunnhumby

1,001-5,000 employees

Customer data analytics for retail optimization

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, providing insights that help retailers and brands improve customer experiences. The company analyzes customer behavior and preferences using advanced data analytics, which allows clients to create targeted marketing campaigns. Unlike many competitors, dunnhumby does not store personal information but uses unique identifiers to gather data from various sources. Their business model includes offering services like media solutions and personalized marketing strategies, which enhance customer interactions and optimize marketing efforts. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to engage customers more effectively and drive sales through data-driven strategies.

Company Stage

Acquired

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

1989

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-powered assortment tool revolutionizes product selection for retailers.
  • Real-time customer insight platform enhances customer engagement and brand strategies.
  • Retail Innovation Network connects startups, partners, and investors for market innovation.

What critics are saying

  • Emerging AI platforms like Harmonya challenge dunnhumby's market position.
  • Departure of key media team member may disrupt media strategy.
  • Tesco's retail media training could reduce dunnhumby's competitive edge.

What makes dunnhumby unique

  • Dunnhumby leverages a database of shopper behavior from 400 million households.
  • The company offers unique AI tools like the Competitive Threat Evaluator.
  • Dunnhumby Ventures invests in early-stage startups focusing on data innovation.

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Benefits

Flexible Work Hours

Unlimited Paid Time Off

Remote Work Options