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Lead Data Engineer – MarTech

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Adevinta

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Location:
Netherlands , Amsterdam

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a hands-on and visionary Data Engineering Lead to drive the design, development, and scaling of data infrastructure for our MarTech and Growth domains. The ideal candidate comes from an e-commerce/product, IT or data company who has experience in technical coaching with execution — helping the team build and scale high-impact data solutions and collaborate across domains to shape our Customer Data Platform (CDP), campaign automation, and growth optimization strategies.

Job Responsibility:

  • Provide technical leadership in designing, building, and maintaining robust and scalable data pipelines
  • Own architectural decisions for the data infrastructure that powers our CDP and marketing data stack, ensuring scalability, quality, and performance
  • Partner with the MarTech Engineering Manager and Product Owner to shape the technical roadmap, contribute to backlog refinement, and ensure timely delivery of products
  • Translate business goals (e.g., audience targeting, personalization, attribution) into scalable data solutions and architecture
  • Mentor and up-skill team members through code reviews, architecture sessions, and knowledge sharing
  • Define and enforce technical standards and best practices around data modeling, orchestration, CI/CD, observability, and performance
  • Partner with ML, Gen AI, and Data teams to integrate real-time personalization, behavioral targeting, and predictive analytics

Requirements:

  • 7+ years of experience in data engineering
  • At least 2 years in a technical team lead or staff engineer capacity
  • Demonstrated experience owning data architecture end-to-end — from ingestion to modeling and serving
  • Experience in MarTech/Growth/CRM domains or adtech ecosystems is a major plus
  • Strong collaboration skills
  • comfortable working across multiple teams and stakeholders including Engineering Manager, Product Owner, and Data leadership
  • Passion for building impactful systems that fuel marketing performance and customer engagement
  • Core Technologies: Databricks (Spark, ML, Delta Lake)
  • Apache Airflow (ETL orchestration)
  • AWS Data Stack – S3, Redshift, Glue, Lambda, Step Functions, Athena
  • DBT (Modeling and transformation)
  • SQL and Python (Advanced scripting and analytics)
  • Dimensional & Star Schema modeling

Nice to have:

  • Nice-to-Have Additional Tools & Platforms: Customer Data Platform (CDP): Zeotap or similar CDP
  • Streaming & Messaging: Kafka, Kinesis, EventBridge
  • BI & Visualization: Looker, Tableau, or equivalent
  • Monitoring & Testing: DataDog, Great Expectations
  • CI/CD & Infra as Code: Terraform, GitHub Actions, CloudFormation
  • Security & Privacy: PII handling, GDPR/CCPA compliance, data contracts
What we offer:
  • An attractive Base Salary
  • Participation in our Short Term Incentive plan (annual bonus)
  • Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
  • A 24/7 Employee Assistance Program for you and your family
  • A collaborative environment with an opportunity to explore your potential and grow
  • A range of locally relevant benefits

Additional Information:

Job Posted:
January 10, 2026

Employment Type:
Fulltime
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