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 20,000+ 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.

Role Summary:

At Publicis Sapient, We’re Building Something Truly Exceptional! Our Data & AI practice designed to redefine how businesses operate, grow, and deliver value. We're not talking about trendy buzzwords—we're talking about real impact. AI is transforming industries, enriching customer experiences, and unlocking untapped potential—and we're leading that change every day

Join Publicis Sapient as a Senior Associate, Data Engineering, and help shape the future of data-driven digital transformation. In this role, you’ll design and implement modern, cloud-based data platforms that power innovation for leading organizations. You’ll work on large-scale data ingestion, processing, storage, and analytics, ensuring solutions are secure, scalable, and high performing.

This is an opportunity to collaborate with talented data specialists in an Agile environment that values innovation, continuous learning, and knowledge sharing.

Key Responsibilities

• Design and implement scalable, production-grade data solutions that solve critical business problems, making key decisions and influencing strategic direction to ensure solutions meet client needs, not just technical requirements.
• Build client relationships and deliver end-to-end data engineering engagements, from initial discovery and requirements gathering through to production deployment and handover, proactively managing stakeholder expectations and navigating complex organizational dynamics to ensure successful outcomes.
• Thrive in cross-functional team environments, working closely with data scientists, analysts, software engineers, experience and strategy specialists, and business stakeholders to deliver integrated solutions, facilitating effective communication across technical and non-technical audiences, and driving consensus on complex decisions.
• Help shape and grow our Data practice, invest in continuous learning and support development of others, stay current with emerging technologies and methodologies, and contribute to a collaborative team culture where knowledge sharing and growth are valued. Establish standards to ensure consistency across projects and teams.
• Contribute to business development and firm visibility by participating in proposal development and client pitches, creating thought leadership content through, engaging with the broader data engineering community, and identifying opportunities to expand existing client relationships.

Experience and qualifications

• Deep understanding of modern data architecture and its application to business transformation.
• Expertise in cloud-native architectures, with hands-on experience across major hyperscaler platforms (AWS, GCP, Azure).
• Proven experience in designing, building, and optimising scalable data pipelines and distributed systems using Snowflake and/or Databricks.
• Strong programming skills in Python and SQL, with advanced knowledge of performance tuning, sharding, partitioning, and indexing.
• Solid understanding of database technologies, including relational, NoSQL, and cloud-native storage solutions.
• Experience with CI/CD, automated testing, and infrastructure-as-code tools such as Terraform, CloudFormation, and Helm.
• Excellent communication and presentation skills, with the ability to engage technical and business stakeholders.
• Consulting mindset with willingness to travel and work on client sites to deliver high-impact solutions.

Desired Qualifications

• Proven track record in two or more industries, such as Banking, Insurance, Wealth, Retail, or Public Sector, delivering data-driven solutions that create measurable business impact.
• Experience working in both established and challenger professional services firms, demonstrating an entrepreneurial mindset and the ability to thrive in fast-paced, growth-oriented environment

• 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.
• 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. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com