Senior Data Engineer - Advertising

Our Client

Our client is a global technology and creative network that brings together engineering and creative expertise in equal measure to help businesses drive innovation, digital transformation, and long-term growth. As part of a leading global marketing and communications group, the company combines strategy, design, and technology to deliver end-to-end digital experiences and solutions. Its portfolio includes partnerships with some of the world's most recognized brands across industries such as technology, finance, media, sports, and consumer goods.

Job Summary

We are seeking a hands-on Senior Data Engineer to build scalable data infrastructure to support data-driven insights and predictive and generative AI models. The Senior Data Engineer will lead technical workstreams, contribute to defining data engineering best practices, and mentor other engineers while collaborating closely with Machine Learning Engineering teams and cross-functional stakeholders to solve complex data challenges.

Responsibilities

• Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving
• Collaborate with the Machine Learning Engineering team to support model training, evaluation, and serving
• Identify opportunities to improve team processes, tooling, and ways of working
• Contribute to thought leadership, internal knowledge sharing, and community of practice efforts
• Translate business needs into elegant, product-minded data solutions that drive measurable business value
• Integrate marketing data sources (GA4, advertising platforms, CRMs, CDPs) into reliable, well-modeled datasets
• Establish data engineering standards, documentation, and monitoring practices for data quality and reliability
• Apply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery

Qualifications and Job Requirements

Must have

• 5+ years of data engineering experience with a strong track record of ownership and impact, including building data pipelines and infrastructure from the ground up.
• Deep expertise in cloud data platforms, with clear, well-reasoned opinions on which work best and why
• Proficiency in Python and SQL for data processing and ETL
• Experience building and deploying data workloads in cloud environments (AWS, GCP, or Azure)
• Strong product orientation, with the ability to identify opportunities, prioritize initiatives, and deliver measurable business value
• Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows
• Proven experience mentoring others, establishing engineering standards, and contributing to a culture of learning
• Familiarity with marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)
• Solid software engineering fundamentals: version control, testing, code review, and CI/CD
• Strong communication skills, with the ability to work with every technical level at an organization that is 50/50 tech and creative
• Experience working in complex, ambiguous projects from definition through delivery
• Advanced English (B2 or higher)

Nice to Have

• Experience with data governance, privacy compliance, and security best practices
• Experience integrating AI/ML capabilities into data pipelines, with exposure to GenAI applications
• Familiarity with MLOps tooling (MLflow, SageMaker, Vertex AI) and vector databases or RAG patterns
• Experience working across multiple verticals or client types
• Track record of advocating for and implementing process improvements

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.