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The Senior Data Engineer – Digital Marketing & Analytics is responsible for implementing and operating Consumer Data Platform (CDP) data pipelines and data layers that support analytics, activation, and AI enabled digital marketing across CGE & IM. We are hiring for two roles, one role will focus on analytics and reporting data engineering including semantic data layers in Fabric, the second role will focus on a platform activation layer to integrate our data with various marketing tools, AI agent, machine learning. This role partners closely with a Technical Architect and Data Strategist to translate defined business requirements and architecture into clear implementation specifications and reliable data solutions.
Job Responsibility:
Build data pipelines and curated datasets per CDP architecture and Technical Architect guidelines
Define implementation specs covering mapping, transformation, validation, and dependencies
Maintain analytics- and activation-ready data layers for reporting, segmentation, personalization, and AI
Collaborate with Data Strategist and analytics teams to clarify measurement and AI requirements
Assess feasibility, risks, and methods using available data sources
Flag and recommend solutions for data gaps, quality issues, or dependencies
Integrate necessary first- and third-party data for CDP use cases
Apply standard ingestion and transformation patterns according to governance standards
Structure and document data for analytics and activation
Embed data quality checks, monitoring, and lineage in workflows
Ensure pipelines comply with consent, retention, and privacy mandates
Coordinate with Legal, Privacy, and Governance on new or updated data sources
Oversee pipeline health, including monitoring and root cause analysis
Automate and standardize processes to minimize manual work
Support optimization and scaling of CDP implementations
Operate within a shared ownership model for roadmap, architecture, and delivery
Achieve clarity on data sources, integration and communicate status and risks to both technical and non-technical audiences
Share feedback to guide future architectural decisions
Embody our culture and values
Requirements:
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
Experience supporting digital marketing, personalization, experimentation, or customer analytics use cases
Experience working with or alongside a Customer Data Platform (CDP), Azure and Fabric Data Factories
Familiarity with identity data concepts and activation workflows
Experience operating within architect-led or strategist-led delivery models
Nice to have:
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering