Sutherland: Senior Data Analytics Engineer (Manager Level | Individual Contributor) — Taguig, NCR, Philippines

About Sutherland

Sutherland works in business and digital transformation, combining technology services with business-process expertise. Its employer descriptions identify artificial intelligence, automation, cloud engineering and advanced analytics as areas of activity. The company uses products, platforms and service delivery to improve business operations and customer experiences. Its stated approach brings human expertise together with AI, adapting technology and process changes to the needs of the organisation receiving the service rather than providing only a standalone software product.

The position and its setting

Sutherland lists Senior Data Analytics Engineer (Manager Level | Individual Contributor) in Taguig, NCR, Philippines, under reference REF47698Z. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 7 October 2026
• Brands: Sutherland

Responsibilities and work described

• *For Pooling Purposes*
• Leadership: Enterprise Data Modernization Initiatives
• Drive the migration of legacy reporting and analytics environments to modern cloud-based platforms
• Analysis: existing BI models, SQL workloads, and reporting logic to identify optimization opportunities
• Convert complex business and reporting logic into scalable cloud-native data solutions
• Quality / delivery: data quality, accuracy, and seamless transition through comprehensive validation and testing
• Design: & Build Scalable Data Platforms
• Develop, enhance, and maintain enterprise-grade data pipelines and data products
• Building: efficient data transformation frameworks using modern analytics engineering practices
• Optimize data models, processing frameworks, and reporting performance
• Establishment: scalable solutions that support future analytics, reporting, and machine learning initiatives
• Partner with Business & Analytics Leaders
• Collaboration: with data scientists, analysts, and business stakeholders to translate requirements into technical solutions
• Serve as a trusted advisor on data architecture, reporting strategy, and platform capabilities
• Support: strategic and ad hoc analytics requests through reliable, well-governed data assets
• Communicate technical concepts effectively to both technical and non-technical audiences

Essential requirements and candidate background

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field
• 4+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or Data Platform Development
• Expertise in SQL, including advanced query development, optimization, and stored procedure logic
• Experience working with Power BI, semantic models, and DAX-based reporting environments
• Experience: Spark, PySpark, Spark SQL, or similar Big-data tools:
• Proficiency: Python for data processing, automation, and analytics
• Experience using Git and modern software development practices
• Stakeholder management and requirements-gathering skills
• Verbal and written English communication skills

Preferred experience and additional strengths

• Experience: Databricks, Delta Lake, Databricks SQL, DLT Pipelines, and Unity Catalog
• Experience leading or contributing to cloud migration and data modernization initiatives
• Knowledge: modern data warehousing, lakehouse architecture, and analytics platforms
• Databricks, Azure, AWS, or related cloud certifications
• Experience supporting high-volume, customer-facing, or enterprise-scale operations
• Exposure: analytics, machine learning, or data science environments

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: On-site
• Advertised location: Taguig, NCR, Philippines

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Data Analytics Engineer (Manager Level | Individual Contributor) vacancy is not an offer for reference REF47698Z; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Sutherland

Applications follow the official employer page linked below.

Open the official Sutherland posting below and match the title and reference REF47698Z.

Compare your qualifications and experience with the essential conditions for the Taguig, NCR, Philippines position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Spark
• AWS
• Azure
• AI/ML
• machine learning
• stakeholder management
• Git
• Power BI