AI Data Engineer 3 [AQ-20657]

About the role

Join a leading global technology company that is at the forefront of innovation, shaping the future of digital experiences and infrastructure. This organization is dedicated to creating groundbreaking solutions that empower individuals and businesses worldwide, driven by a mission to make advanced technology accessible and impactful. As an Aquent talent, you will partner with this organization, contributing to a team that values data-driven decisions and operational excellence, driving significant advancements. Are you ready to transform complex data into actionable insights that shape the future of digital experiences and infrastructure? We are seeking a highly skilled and motivated individual to join a dynamic team where your expertise will bridge the gap between technical data and critical business outcomes. This pivotal role offers the chance to make a tangible difference, ensuring data reliability, enhancing business intelligence, and directly influencing strategic decision-making across vital systems. You will play a crucial role in improving efficiency and performance, directly impacting how this organization operates and innovates.

Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you’ll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose—where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed—you’ll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you’ll have the tools to thrive both personally and professionally. Be part of something that truly matters.

Responsibilities

• Collaborate with engineering, operations, program management, and leadership to define data requirements and develop reporting and analytics solutions that inform strategic decisions.
• Analyze extensive and intricate datasets to uncover trends, identify anomalies, pinpoint gaps, assess risks, and discover opportunities for operational enhancement.
• Conduct thorough data quality assessments, validation, and verification to ensure accuracy, completeness, consistency, and integrity across diverse data sources