SQL Server Data Engineer: Performance & Lifecycle

Accenture PLC; Taguig; On-site; PHP 420,000 - 700,000; Full time

Job summary

Accenture in the Philippines seeks a Data Engineer to design, implement, and optimize data pipelines using Microsoft SQL Server. You will assess data stores, develop queries and procedures, and ensure data governance and retention.

The role requires strong SQL skills, data modeling, ETL experience, and collaboration with cross-functional teams to deliver scalable, high-performing data solutions.

Qualifications

• Advanced proficiency in Microsoft SQL Server and T‑SQL.
• Experience with complex queries, stored procedures, and performance tuning.
• Strong data analysis skills and ability to work with limited data dictionaries.
• Experience with SQL-based ETL processes and data lifecycle management.
• Excellent communication and stakeholder engagement abilities.

Responsibilities

• Assess databases against client data retention schedules and recommend retention strategies.
• Develop and maintain SQL Server queries and scripts for archiving and purging.
• Analyze datasets to identify insights and data relationships.
• Review and optimize SQL Server performance, including indexing and tuning.
• Support SQL-based ETL processes using Microsoft SQL technologies.
• Document data processes, logic, and workflows for governance and maintainability.
• Collaborate with stakeholders to gather data requirements and deliver SQL-based solutions.
• Continuously build subject-matter expertise in SQL Server data management and optimization.

Skills

SQL

Data analysis

Query tuning

ETL

Data modeling

Stakeholder communication

Collaboration

Tools

Microsoft SQL Server

SSIS

T-SQL

Job description

Accenture in the Philippines seeks a Data Engineer to design, implement, and optimize data pipelines using Microsoft SQL Server. You will assess data stores, develop queries and procedures, and ensure data governance and retention.

The role requires strong SQL skills, data modeling, ETL experience, and collaboration with cross-functional teams to deliver scalable, high-performing data solutions.