IT & Software

Senior Data Engineer

Publicis Media

London · Greater London · United Kingdom

Overview

In this role you will lead the technical direction and architecture of the Data Foundation Platform within OneSuite, delivering scalable data solutions for multi-channel marketing. You will build and optimize cloud-native pipelines, collaborate with cross-functional teams, and ensure production readiness and governance. You will influence design patterns and drive reliable, observable data systems at scale. This is a hands-on leadership role with a clear impact on performance marketing capabilities.

Pay / Benefits
  • WORK YOUR WORLD
  • REFLECTION DAYS
  • benefits
  • FAMILY FRIENDLY POLICIES
  • FLEXIBLE WORKING
  • GREAT LOCAL DISCOUNTS
Responsibilities
  • Design, code, and evolve DFP's cloud-native data architecture (AWS/GCP/Snowflake) and scalable ingestion pipelines.
  • Implement modular data services and APIs to unify datasets across 20+ marketing platforms.
  • Develop high-performance ETL/ELT workflows and data models; contribute to the DFP codebase (Python, SQL, Spark).
  • Establish versioning, testing, and governance for reliability and compliance.
  • Drive data modeling, CI/CD, code reviews, and performance optimization across teams.
  • Mentor junior engineers; participate in sprint planning and ensure alignment with platform goals.
  • Design RAG and Context Engine pipelines; build low-latency APIs and caching for AI agents.
  • Ensure privacy, compliance, and access controls (GDPR, SOC2); promote data documentation and lineage.
Key requirements
  • Hands-on Data Engineer experience with production code contributions.
  • Expert Python, SQL, and Spark for data pipelines.
  • Proven ELT workflow experience with Fivetran, Airflow, DBT, or Databricks.
  • Enterprise-scale data modeling, dimensional design, and schema normalization.
  • Experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow).
  • Experience with marketing/ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads).
  • Git/GitHub, CI/CD, and data observability practices.
  • Ability to write clean, modular, testable code and review peers’ contributions.
  • collaboration
  • mentoring
  • organization
  • Python
  • SQL
  • Apache Spark

Reference: WJ-747_30302046

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