AI Data Engineer 3 [AQ-15544]

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.

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 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, program status, 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.

Requirements

• 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.

Preferred 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.