What you'd actually do

Maintaining and optimizing data pipelines that process high volumes of marketing data from various sources (e.g., digital platforms, CRM, ad tech tools).

Developing robust monitoring, alerting, and testing frameworks to ensure data quality and operational reliability across marketing datasets.

Building and improving data models and infrastructure that support marketing attribution, funnel analysis, audience targeting, and A/B testing.

Enabling self-service data access for marketing teams by delivering well-documented, performant data products and interfaces.

Collaborating with cross-functional partners including product managers, marketing analysts, campaign managers, and data scientists based in Amsterdam and globally.

Skills

Required

Data Engineering
Data Pipelines
Cloud Data Platforms
Schema Design
Data Modeling
Java
Python
Big Data
Monitoring
Alerting
Testing Frameworks
Data Quality
Operational Reliability
System Design
CDC
Kafka
Airflow
Snowflake
DBT

Nice to have

Experience working with teams located in different timezones
Experience with experimentation, statistics and A/B testing

What the JD emphasized

Minimum 5 years of hands-on experience in data engineering as a Data Engineer or as a Software Engineer developing data pipelines and products.

Bachelor’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field or 5 years of progressively responsible experience in the specialty as equivalent

Solid experience in at least one programming language. We use Java and Python

Experience building production data pipelines in the cloud, setting up data-lakes and server-less solutions

Hands-on experience with schema design and data modeling

Experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Knowledge of CDC, Kafka, Airflow, Snowflake, DBT or equivalent tools

Practical experience building data platform capabilities like testing, alerting, monitoring, debugging, security

Experience working with big data.

We are looking for a Data Engineer to join our Marketing Data team and help enhance the data platform that powers world-class marketing insights.

In this role, you will work closely with fellow data engineers, analysts, data scientists, and marketing stakeholders to ensure the reliability, scalability, and operational excellence of data products that drive our marketing strategy. This includes customer segmentation, campaign attribution, performance measurement, and experimentation analysis across multiple channels.

Key Responsibilities and Duties

Maintaining and optimizing data pipelines that process high volumes of marketing data from various sources (e.g., digital platforms, CRM, ad tech tools).
Developing robust monitoring, alerting, and testing frameworks to ensure data quality and operational reliability across marketing datasets.
Building and improving data models and infrastructure that support marketing attribution, funnel analysis, audience targeting, and A/B testing.
Enabling self-service data access for marketing teams by delivering well-documented, performant data products and interfaces.
Collaborating with cross-functional partners including product managers, marketing analysts, campaign managers, and data scientists based in Amsterdam and globally.

Your work will help ensure that marketing teams can experiment, iterate, and make data-driven decisions with confidence and agility.

The job requirements

Minimum 5 years of hands-on experience in data engineering as a Data Engineer or as a Software Engineer developing data pipelines and products.
Bachelor’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field or 5 years of progressively responsible experience in the specialty as equivalent
Solid experience in at least one programming language. We use Java and Python
Experience building production data pipelines in the cloud, setting up data-lakes and server-less solutions
Hands-on experience with schema design and data modeling
Experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
Knowledge of CDC, Kafka, Airflow, Snowflake, DBT or equivalent tools
Practical experience building data platform capabilities like testing, alerting, monitoring, debugging, security
Experience working with big data.
Experience working with teams located in different timezones is a plus
Experience with experimentation, statistics and A/B testing is a plus

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.