Analytics Engineer (Contract)

Publicis Sapient is a digital transformation partner helping established organizations get to their future digitally enabled state both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods fusing strategy consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next our 20000 people in 53 offices around the world combine experience across technology data sciences consulting and customer obsession to accelerate our clients businesses through designing the products and services their customers truly value.

As an Analytics Engineer you will design build and maintain scalable data pipelines and solutions that transform data from complex marketing and enterprise systems into reliable well-structured datasets. You will work across APIs cloud data platforms and sources such as Salesforce to ensure data is accurately ingested integrated modelled documented and made available for downstream analytics reporting and advanced modelling. You will also leverage modern AI tools to enhance engineering workflows and help build well-documented AI-ready data assets that support evolving business and technology needs.

Your Impact:

• Design build and maintain scalable reliable data pipelines that ingest and integrate data from marketing platforms Salesforce APIs and other enterprise data sources.
• Develop data transformations and models that provide trusted well-structured datasets for downstream analytics reporting dashboarding and advanced modelling.
• Build and maintain API-based integrations and custom Python solutions to support reliable and automated data ingestion.
• Ensure data quality integrity and availability through validation testing monitoring and troubleshooting of data pipelines and integrations.
• Create and maintain technical documentation metadata data definitions and lineage to improve the discoverability usability and governance of data assets.
• Build and structure datasets and documentation to support AI and LLM use cases while leveraging AI tools throughout development testing troubleshooting and documentation workflows.

Your Skills & Experience

• 5 years of experience in analytics engineering or a similar data-focused engineering role.
• Strong SQL and Python skills with experience building and maintaining production-grade data pipelines.
• Hands-on experience with at least one modern cloud data platform such as Snowflake Databricks or BigQuery.
• Experience integrating data through REST APIs and other programmatic data sources including authentication pagination error handling schema changes and monitoring.
• Experience working with Salesforce data and understanding its underlying data structures and relationships.
• Experience working with marketing data and marketing technology ecosystems including integrating data across CRM campaign digital media or customer platforms.
• Strong experience designing pipelines and data models specifically for downstream analytics dashboarding reporting and analytical modelling.
• Understanding of data modelling warehousing data quality governance and production data engineering best practices.
• Experience with data validation testing monitoring troubleshooting and maintaining reliable production pipelines.
• Experience creating and maintaining technical documentation metadata data definitions and lineage so datasets are understandable and discoverable.
• Proficiency with modern AI tools and demonstrated ability to incorporate them into day-to-day engineering work including development debugging testing analysis and documentation.

Set Yourself Apart With:

• Hands-on experience with Rivery and/or Boomi for data ingestion integration and pipeline development.
• Experience preparing datasets metadata documentation or knowledge assets for consumption by AI/LLM applications including RAG or agent-based use cases.
• Experience with BI and visualization platforms such as Power BI Tableau or Looker.
• Experience with advanced analytics predictive modeling or machine learning.
• Experience with customer identity resolution marketing attribution campaign measurement or other complex marketing data models.
• Experience with data privacy consent management and governance of customer/marketing data.

As part of our dedication to an inclusive and diverse workforce Publicis Sapient is committed to Equal Employment Opportunity without regard for race color national origin ethnicity gender protected veteran status disability sexual orientation gender identity or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability you may contact us at