Data Engineer

Responsibilities

• Define and lead data architecture, standards, and best practices.
• Design and oversee scalable, secure, and high-performance data platforms.
• Drive enterprise data strategy, including data governance and quality frameworks.
• Lead end-to-end delivery of complex data engineering initiatives.
• Collaborate with senior stakeholders to align data solutions with business strategy.
• Provide technical leadership and mentor engineers across levels.
• Ensure platform scalability, reliability, and cost optimization.
• Evaluate and implement new technologies, tools, and frameworks.
• Establish processes for monitoring, incident management, and continuous improvement.
• Drive cross-functional collaboration across BI, data science, and engineering teams.

Requirements

• Proven experience in data architecture design and implementation.
• Expertise in building and managing scalable data pipelines.
• Strong knowledge of data governance frameworks and quality standards.
• Demonstrated ability in stakeholder management and technical leadership.
• Experience ensuring platform scalability, reliability, and cost optimization.

About the Company

dentsu is a global leader in innovation, helping clients reach, engage, and nurture relationships with audiences through Integrated Growth Solutions. For over 120 years, we have focused on innovating to impact, driving a multiplier effect for our clients at a global scale.