AI Data Engineer 3 [AQ-20657]

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.

What You’ll Do

• 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 and systems.
• Design, implement, automate, and maintain scalable data collection, transformation, and validation processes, significantly reducing manual effort and boosting reliability.
• Develop and maintain comprehensive dashboards, scorecards, KPI reporting, and self-service analytics solutions that provide clear visibility into operational performance, system health, and business outcomes.
• Establish robust data validation frameworks, monitoring processes, and quality controls to proactively detect and resolve data issues.
• Partner with technical teams to refine data models, improve metadata management, optimize reporting structures, and strengthen overall data governance practices.
• Translate complex technical findings into clear, actionable insights and recommendations, effectively communicating with both technical and executive audiences.
• Drive continuous improvement initiatives through automation, standardization, and the implementation of scalable reporting and analytics solutions.
• Support root cause analysis and investigative efforts by utilizing data to identify the underlying causes of performance issues and operational risks.
• Document processes, methodologies, reporting requirements, and data quality standards to ensure consistency and scalability.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• Experience designing and implementing data quality validation, verification, and monitoring processes.
• Strong troubleshooting, problem-solving, analytical thinking, and investigative skills.
• Experience in business intelligence, reporting, data quality management, or related analytical disciplines.
• Proficiency in developing dashboards and visualizations using business intelligence tools such as Power BI, Tableau, or similar platforms.
• Experience automating manual processes using scripting, workflow automation, or data integration technologies.
• Solid written and verbal communication skills with the ability to convey complex findings to diverse audiences.
• Demonstrated success in delivering scalable solutions that enhance efficiency, data accuracy, and operational visibility.

Nice-to-Have Qualifications

• Experience with operational, engineering, IoT, industrial controls, or critical infrastructure data.
• Experience implementing automated data validation and exception management processes.
• Experience developing executive-level dashboards and KPI scorecards.
• Familiarity with operations and power distribution systems.
• Ability to analyze telemetry data to spot irregularities and contribute to problem-solving.

Client Description Join a global technology leader driving innovation and empowering people and organizations worldwide t…