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Open nowPosted 24 hours agoWe saw it 29 min after it went up

Senior Big Data Engineer

N-iX133 open roles

Where
Europe
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Your applicationOpen nowSenior Big Data EngineerN-iX · Europe

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Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. N-iX postings stay open a median of 16 days.

Share of postings closed within
  1. 1.4%1 day
  2. 3.5%3 days
  3. 7.7%7 days
  4. 13.4%14 days
  5. 34.5%30 days
This job: posted 24 hours ago

N-iX median: 16 days open

The posting

We are looking for a Senior Data Engineer to join a strategic marketing technology (Martech) transformation initiative for a large enterprise organization. The project focuses on modernizing the client's marketing data platform, rebuilding data pipelines, and improving marketing attribution across multiple business brands.

As part of a dedicated data engineering team, you will help build a scalable, cloud-native data platform on Google Cloud Platform (GCP), enabling better visibility into marketing performance and supporting data-driven decision making. This is a long-term engagement through the end of 2026, working closely with the client's Data Engineering, Product, and Martech teams.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
  • Build and optimize data models in BigQuery to support analytics and marketing reporting.
  • Rebuild legacy marketing data pipelines following modern engineering best practices and enterprise standards.
  • Contribute to the development of a canonical enterprise data model and semantic data layer.
  • Support the implementation and adoption of DataHub as the enterprise data catalog.
  • Develop automated CI/CD pipelines for data engineering workflows and enforce coding and data quality standards.
  • Ensure proper data isolation between multiple business brands while enabling consolidated reporting where appropriate.
  • Collaborate closely with Product Managers, Martech specialists, Analytics teams, and other data engineers to deliver business value.
  • Optimize data processing performance, reliability, monitoring, and cost efficiency.

Required Qualifications:

  • 5+ years of experience as a Data Engineer.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Advanced experience with BigQuery.
  • Strong SQL and Python development skills.
  • Experience designing and implementing modern ELT/ETL pipelines.
  • Solid understanding of dimensional modeling, semantic modeling, and enterprise data architecture.
  • Experience building production-grade CI/CD pipelines for data platforms.
  • Familiarity with Git and modern software engineering best practices.
  • Strong communication skills and ability to work within cross-functional teams.
  • Upper-Intermediate or higher English.

Nice to Have:

  • Experience with marketing technology (Martech) platforms and marketing attribution.
  • Hands-on experience integrating: Google Ads, Google Analytics (GA4), Search Ads 360 (SA360), Campaign Manager 360, DV360
  • Experience with DataHub or similar data catalog solutions.
  • Experience implementing semantic layers for analytics platforms.
  • Understanding of multi-brand or multi-tenant data architectures.
  • Experience modernizing legacy data platforms and rebuilding pipelines from scratch.

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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