Data Engineering Lead: Pipelines, Quality & Strategy

Accenture PLC; Taguig; On-site; PHP 1,000,000 - 1,500,000; Full time

Job summary

Accenture Manila is seeking an experienced Data Engineer to design, develop, and maintain data solutions for generation, collection, and processing. You will create robust data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

Collaborate with cross-functional teams to align data strategies with business goals, mentor colleagues, and drive continuous improvement in data workflows to support scalable analytics.

Qualifications

• Expert proficiency in Data Modeling Techniques and Methodologies.
• Strong understanding of database design principles and data architecture best practices.
• Experience with building and optimizing extract, transform and load processes to handle large volumes of data.
• Familiarity with data quality frameworks and techniques to ensure data integrity and consistency.
• Proficient in designing scalable data pipelines that support real-time and batch processing.
• Knowledge of data governance and compliance standards to maintain secure and reliable data environments.

Responsibilities

• Lead SME and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Facilitate effective communication and coordination among team members to ensure project milestones are met.
• Support continuous improvement initiatives by identifying opportunities to optimize data workflows and processes.
• Mentor and guide team members to enhance their skills and promote knowledge sharing.
• Monitor project progress and address any challenges that may impact delivery timelines.

Skills

Data modeling

Data architecture

ETL development

Data quality

Data pipelines

Data governance

Job description

Accenture Manila is seeking an experienced Data Engineer to design, develop, and maintain data solutions for generation, collection, and processing. You will create robust data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

Collaborate with cross-functional teams to align data strategies with business goals, mentor colleagues, and drive continuous improvement in data workflows to support scalable analytics.