Remote Data Engineer - Snowflake & Media Data Platform

N-iX

España

Hybrid

EUR 48,000 - 72,000

Full time

4 days ago

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Benefits offered by this job

Flexible working format

Competitive salary and compensation

Career growth & professional dev

Education reimbursement

Team events and knowledge sharing

Remote/office flexibility

Job summary

N-iX is seeking a Middle Data Engineer to build and scale a global Media Data Foundation for a leading European organization. You will transform raw media data into trusted data products used by marketing, media, and analytics teams worldwide, with hands-on development and cross-functional collaboration.

The role emphasizes data modeling in Snowflake, dbt migrations, and orchestration, plus BI support with Power BI and governance best practices.

Qualifications

2+ years of experience showing technical expertise and critical thinking in data engineering.
Hands-on experience and strong Python programming skills; dbt (nice to have).
Proficiency in Snowflake and strong expertise in data modeling are essential.
Demonstrated experience with marketing, media or advertising data (ad platform APIs, campaign hierarchies, web analytics) is required.
In-depth understanding of security and governance in Snowflake: RBAC, secure views, data sharing, masking and row access policies, object tagging.

Responsibilities

Hands-On Development: Build, maintain and optimize data pipelines for ingestion, transformation and delivery of media data (Meta, Google Ads, DV360, TikTok, The Trade Desk, GA4, CM360 and others).
Create and implement scalable solutions to handle many data sources, frequent API and schema changes, and high volumes of data.
Data Modeling & Warehousing: Design and maintain efficient, harmonised data models for cross-platform media reporting in Snowflake.
Lead the move of transformation logic to dbt, including orchestration, testing, documentation and CI/CD.
Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
Work closely with Technical Product Owners, media agencies and market teams to align data solutions with business needs.
Platform Development: Enable data readiness for media dashboards (Power BI), marketing mix modelling / ROI analytics and campaign taxonomy governance.
Implement robust frameworks to monitor data freshness, completeness, quality and pipeline performance, with automated alerting.
Security & Compliance: Implement robust access controls and data protection across the pipeline and for data shared with internal and external consumers.
Ensure compliance with data privacy regulations (e.g. GDPR, CCPA) and internal data governance policies (data product tiers, tagging, naming standards).
Monitor and address potential vulnerabilities, including service account and secret management, ensuring the platform follows security best practices.