Data Engineer with experience in AdTech / MarTech or Ecommerce

We are seeking an Experienced Data Engineer on behalf of a prominent player in the digital marketing technology and adtech space. This company relies on high-volume, real-time data to drive performance for top global brands---and they need a skilled engineer to strengthen their core data platform.

In this role, you will own the end-to-end data lifecycle: building resilient ingestion pipelines across major ad platforms (Google Ads, Meta, Amazon Ads, GA4), harmonizing complex multi-currency and attribution metrics, and designing cost-efficient data models in BigQuery. You will work closely with marketing analysts, cloud engineers, and business stakeholders while utilizing modern DevOps practices, including Infrastructure as Code (Terraform) and CI/CD (GitHub Actions).

If you are looking for an opportunity to lead technical implementations, work with cutting-edge GCP tools, and solve real-world data engineering challenges at scale, this is the role for you.

Main Responsibilities:

• Build & Scale Data Ingestion: Design robust ingestion pipelines across major adtech and martech APIs (Google Ads, DV360, Meta, GA4, Amazon Ads) using REST, GraphQL, file transfers (SFTP/S3/GCS), and native transfer services.


• Data Quality & Harmonization: Standardize multi-platform data across varying currencies, time zones, and attribution models while implementing validation checks for schema drift and late-arriving data.


• Orchestration & Modeling: Create clean, maintainable SQL-based transformations and orchestrate workflow pipelines using dbt or Dataform.


• Cloud Infrastructure as Code: Provision, automate, and manage scalable cloud resources using Terraform.


• CI/CD & Monitoring: Build automated CI/CD deployment pipelines using GitHub Actions while maintaining cloud monitoring and alerting systems (focused on GCP).


• Streaming & Real-Time Data: Develop and expand real-time messaging and pipeline architectures using tools like Apache Beam, Dataflow, Pub/Sub, or Kafka.


• Data Privacy & Compliance: Implement privacy-first standards (GDPR/TCF, PII minimization, hashing, consent signals) directly within data workflows.

Core Skills / Experience:

• Experience: 3+ years in Data Engineering, ideally with exposure to adtech, martech, e-commerce, or retail media data ecosystems.


• Data Warehousing & SQL: Advanced SQL skills with hands-on experience building cost-optimized, partitioned schemas in GCP BigQuery or AWS Redshift.


• Programming & Frameworks: Proficiency in Python (Pandas, FastAPI, Flask); familiarity with Java is a strong plus.


• DevOps & Automation: Practical experience with Terraform, GitHub Actions, and Google Cloud Platform (GCP) environments.


• Soft Skills & Autonomy: Strong problem-solving ownership, self-directed execution, and the ability to communicate technical ideas clearly to marketing, product, and engineering teams.

What's on offer?

• Permanent contract


• Flexible Hybrid Working Modality (1 day per week at office)


• Centric and modern offices in Barcelona


• 23 days holidays


• Birthday off


• 10% discount on all the company's products


• Languages Courses


• Specific training


• Medical insurance


• Multicultural work environment
  
• Career Growth Opportunities


• Annual & Gross Salary: 45-50K

Our Recruitment Process:

• Step 1: Interview with a member of our team


• Step 2: Interview with the hiring manager


• Step 3: Technical Challenge or Tech Interview


• Step 4: Interview with Director

At Babel Profiles, we believe in talent beyond labels. This opportunity is open to all qualified candidates, and we are committed to ensuring equal opportunities regardless of gender, gender identity, background, or origin.