Sr. Data Engineer

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Duties & Responsibilities:

• Develops automated data pipelines based on recommended solution by Data Engineering Lead using official ETL tools determined by Data Engineering Head
• Creates automated data pipeline design documentation, Source-to-Target spreadsheets, and technical design specifications.
• Provides technical expertise, troubleshoots, guides and supports during design, development, testing, production and post-production.
• Understands the source system, captures and documents business rules.
• Analyzes and proposes changes to maximize code reusability and maintain business value.
• Develops, implements and maintains highly efficient and scalable automated data pipeline processes.
• Provides expert technical knowledge and solutions pertaining to Data integration.
• Identify opportunities to optimize the automated data pipeline including environment setup, implement monitoring, quality and validation processes to ensure data accuracy and integrity.
• Provides inputs into data governance organization to drive the data governance charter.
• Ensures compliance to internal standards and guidelines.
• Conducts unit testing and component integration testing for solutions developed
• Reviews business and technical requirements and ensures the data integration platform meets requirements.
• Applies industry best practices for automated data pipeline design and development.
• Implementation of an end-to-end complex automated data pipeline system using common Big Data Tools such as (but not limited to) Apache Spark, Talend, Kafka, Airflow, NiFi i and Hadoop Tools.
• Implements monitoring and measurement of data quality as defined by business rules.
• Ensures adherence to architectural governance standards and practices.
• Develops best practices, standards of excellence, and guidelines for programming teams.
• Ensures compliance to the DevSecOps practice.
• Conducts System Testing - execute job flows, investigate system defects, resolve defects and document results
• Provides a level of effort estimates for new initiatives and change controls in order for projects to be evaluated, budgeted and tracked for success.

• Minimum Qualifications: Total Data Engineering experience - 7- 8yrs and above
• Skilled in Python (atleast 4/5 rating), SQL (atleast 3/5 rating)
• Working or has experience working on modern data cloud platforms (Databricks/Snowflake)
• With exposure to cloud services (preferably Azure or AWS)
• Wiling to work on a hybrid work set up in BGC Taguig

NCS Philippines, in partnership with Globe and part of the NCS Group, a leading Asia-Pacific technology services firm and subsidiary of the Singtel Group, is a workplace where people and innovation come together to create meaningful impact. Employees at NCS Philippines work on a wide range of projects across digital, data, cloud, platforms, and cybersecurity, supporting enterprises and government agencies in solving real-world challenges. With access to NCS’ regional network of over 15,000 professionals across 55 specialisations, teams gain valuable exposure to global best practices while contributing to local impact. The company fosters a culture rooted in collaboration, continuous learning, and growth. Employees are empowered to expand their capabilities, explore emerging technologies, and build solutions that go beyond technical delivery – creating tangible value for clients and communities. Through strong partnerships, a diverse talent base, and opportunities for regional collaboration, NCS Philippines enables their people to grow their careers while being part of something bigger: advancing communities through technology and shaping the future of digital innovation.