Lead Data Engineer – MarTech

Overview

Lead Data Engineer – MarTech role at Marktplaats. Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist. The three brands are hosted on a multi-tenant platform, operated from our Amsterdam location, and are the top players in the classifieds space throughout the Benelux region.

We offer consumers the opportunity to trade their unwanted products and contribute to a greener, circular economy. We offer businesses - of all sizes, from hobbyists to the biggest brands in Benelux - a platform to showcase their goods and services online to over 11 million monthly unique users.

What you’ll do & Who you are

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 with experience in technical coaching and 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.

As the Tech Lead, you will be responsible for hands-on design and implementation of data pipelines, modeling strategies, and integration solutions. You will work closely with the MarTech Engineering Manager and Product Owner, and collaborate across cross-functional stakeholders to align technical decisions with business outcomes.

This is an ideal role for someone who thrives on solving complex data problems, cares deeply about technical excellence, and enjoys mentoring engineers while staying close to the code.

Key Responsibilities

• 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.

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 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’re Looking For

• 7+ years of experience in data engineering, with 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.

Why Join Us?

• Be the technical leader shaping the future of growth marketing and customer intelligence.
• Work at the intersection of marketing, growth, and data — with direct impact on user experience and revenue.
• Collaborate across functions to deliver smarter, faster marketing capabilities.
• Work in a modern, cloud-native data environment with a talented, motivated team.
• Enjoy autonomy, ownership, and a supportive environment for growth and innovation.

Benefits

Life at Adevinta comes with its perks. Our employees enjoy the following benefits:

• An attractive Base Salary
• Participation in our Short-Term Incentive plan (annual bonus)
• Work From Anywhere: up to 20 days a year of working from anywhere
• A 24/7 Employee Assistance Program for you and your family
• Win together, lose together — a collaborative environment with growth opportunities

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters!

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.