Semi Senior Data Engineer, Hilversum

Semi Senior Data Engineer

About the role The Semi Senior Data Engineer will help design, build, and evolve scalable data solutions for digital marketing and advertising use cases. Working closely with our Analytics and Solutions Engineering teams, you will be responsible for data engineering activities—from data discovery and ingestion to transformation, orchestration, and deployment—supporting reporting, measurement, and analytics use cases. This role is centered on developing robust data pipelines and analytics‑ready data models across multiple platforms (DSPs, ad servers, and third‑party sources). You will also contribute to client project phases, including requirements clarification, task planning and estimation, and solution recommendations. In addition, the role involves ensuring data quality, reconciliation across heterogeneous datasets, and supporting measurement workflows such as cross‑platform metric allocation and incrementality/attribution reporting.Tools

Strong programming skills in

SQL ,

Python , or other programming languages Cloud platforms

such as

Databricks, AWS, Azure, or Google Cloud Platform Strong knowledge of

cloud infrastructure , e.g. on

GCP :

BigQuery, Cloud Storage, Cloud Run Jobs, Cloud Monitoring, Dataflow, BigQuery Data Transfer Service, Storage Transfer Service JavaScript Data modeling and transformation

tools, such as

dbt

(including for

BigQuery ) Google Tag Manager or Adobe Launch Knowledge of

media reporting UIs / APIs

(e.g.,

DV360, SA360, Meta ) is a plus Strong communication skills, with the ability to

translate technical concepts

to business stakeholders What we’re looking for

A

Bachelor’s degree

in informative engineering, computer science, applied mathematics, engineering, or a related quantitative field—or equivalent work experience. 2+ years of experience

with any combination of analytics, marketing analytics, and analytical techniques for marketing, customer, and business applications. Hands‑on experience with

SQL

and

Python , along with

experience using cloud products. Hands‑on experience developing data pipelines using common

ETL/ELT

tools and

building data architecture patterns. Familiarity with

Agile

methodologies and applying

DataOps

practices to build and deliver pipelines reliably. Experience working with

media/advertising data

is a plus. Demonstrated ability to operate effectively

independently

and

within a team . Responsibilities

Design, perform and validate data collection implementations on sites / apps. Design and develop data integration applications in Cloud environments. Coordinate and plan client projects. Develop internal / external use tools for data validation, exploration and monitoring. Collaborate with analytics, measurement, and client‑facing teams to translate reporting and measurement requirements into reliable data products.Investigate new tools and practices around data analytics. Design, build, and maintain dbt models that integrate marketing and advertising data across DSPs, ad servers, and third‑party platforms. Build and maintain ingestion pipelines from diverse external sources, including cloud‑to‑cloud transfers, Azure/SFTP drops, and vendor APIs, ensuring deduplication and data quality.Lead the migration of legacy ingestion patterns (e.g., BigQuery Data Transfers) to scalable, maintainable solutions built on Dataflow and Cloud Run. Produce and maintain high‑quality technical documentation, runbooks, and design artifacts; review and curate client‑facing release communications.We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

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