Data Engineer - Manager/Specialist

Company description About Publicis Sapient Most companies in the AI era do one of two things: they advise, or they sell you a tool. We do both. Publicis Sapient is a technology company that provides enterprise AI platforms and services, which means we build our own AI platforms and bring the strategists, product thinkers, designers and engineers who make them work inside the world's most complex businesses. It is where people and products shape the future of enterprise, and where your ideas actually reach the organizations that run the world.

If you want to question how things are done, learn continuously and do the best work of your career alongside 20,000 people across 28 countries, you're in the right place. Come build with us. Our Commitment to Inclusive Hiring We are committed to fostering and encouraging an inclusive and welcoming environment for everyone and we believe great talent comes from many different backgrounds, experiences, and perspectives. That is why we are committed to creating a hiring process where everyone has an equal opportunity to succeed and feel safe.

We welcome applications from all backgrounds and identities including: race, ethnicity, nationality, gender, disability, sexual orientation, gender identity, or religion and value the diverse experiences, perspectives, and strengths they bring to our teams. If there is anything we can do to make our recruitment process more accessible or comfortable for you, please let us know. We are happy to provide reasonable adjustments throughout the application and interview process. You can contact us anytime at [email protected].

Your Safety Matters To Us At Publicis Sapient, we are committed to protecting candidates throughout every step of their journey with us. To help you stay safe from recruitment scams, please remember that our recruiters will only ever contact you from a Publicis Sapient email address. In some cases, we may partner with trusted, vetted recruitment agencies who will clearly identify themselves as working on behalf of Publicis Sapient. If you receive communication from any other domain claiming to represent us, please treat it with caution and contact us at [email protected].

Overview Why This Role Matters You will lead a team and create technology products that help people have the best experience they have ever had. We are looking for a leader with a strong passion for both technology and people, who is motivated to build outstanding products.

brings deep technical expertise across multiple technologies, a strong track record of delivery, and proven experience in building and leading high-performance engineering teams. Where You’ll Make an Impact

• Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions
• Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data
• Work with big data technologies and distributed systems to process and transform large datasets
• Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage
• Partner with data scientists and analysts to deliver clean, well-structured, and accessible data
• Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems
• Automate provisioning, deployments, and environment management for data platforms
• Create and support APIs and data services for internal and external consumers
• Ensure solutions meet requirements for scalability, performance, data quality, and governance

What You’ll Bring to the Team

• Hands-on experience with ETL/ELT design and implementation
• Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)
• Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)
• Proficiency in programming languages such as Python, Java
• Solid understanding of SQL and experience with both relational and non-relational databases
• Experience with data modeling, schema design, and data partitioning strategies
• Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus
• Some exposure to AI and agentic platforms, and familiarity with cloud providers' managed AI services (e.g., Azure AI Foundry, AWS Bedrock, Vertex AI), is a plus
• Some exposure to DevOps practices and infrastructure (e.g., IaC, containers, cloud infrastructure) is a plus
• Experience with version control (e.g., Git) and CI/CD practices
• Familiarity with Agile development methodologies and test management basics
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong teamwork, communication, analytical thinking, and problem-solving skills
• Fluent in English, both spoken and written
• Curiosity and drive to continuously learn, adapt, and share knowledge Additional information What You'll Get in Return An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. 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. What You’ll Bring to the Team
• Hands-on experience with ETL/ELT design and implementation
• Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)
• Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)
• Proficiency in programming languages such as Python, Java
• Solid understanding of SQL and experience with both relational and non-relational databases
• Experience with data modeling, schema design, and data partitioning strategies
• Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus
• Some exposure to AI and agentic platforms, and familiarity with cloud providers' managed AI services (e.g., Azure AI Foundry, AWS Bedrock, Vertex AI), is a plus
• Some exposure to DevOps practices and infrastructure (e.g., IaC, containers, cloud infrastructure) is a plus
• Experience with version control (e.g., Git) and CI/CD practices
• Familiarity with Agile development methodologies and test management basics
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong teamwork, communication, analytical thinking, and problem-solving skills
• Fluent in English, both spoken and written
• Curiosity and drive to continuously learn, adapt, and share knowledge

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