Data Engineer (Hybrid)

BTI Payments (Philippines), Inc.; Philippines; Hybrid; PHP 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Generous Leave Credits

Allowances

Hybrid Set-up

HMO Day 1

Job summary

BTI Payments Philippines, Inc. is seeking a skilled Data Engineer to build and maintain scalable data infrastructure for analytics, regulatory reporting, and digital financial services.

You will design data models, pipelines, and data products to support dashboards and compliance with financial data requirements. The role emphasizes data architecture, data governance, and cloud-based platforms, with a focus on secure, high-quality outputs for enterprise use and collaboration with

Qualifications

• Graduate of BS Computer Science, BS Information Technology, or BS Information Systems, or related IT field.
• At least 5 years of experience in data warehousing, data integration, ETL/ELT development, or enterprise data platform solutions.

Responsibilities

• Translate business and regulatory requirements into scalable data models, pipelines, and trusted datasets.
• Design and build scalable ingestion, transformation, orchestration, and data modeling frameworks for high-volume analytics.
• Develop and maintain ETL/ELT pipelines supporting batch, near-real-time, and streaming data.
• Investigate data issues and optimize ETL/ELT performance for reports and data products.
• Implement data quality validation, monitoring, and auditing for warehouse reliability.
• Document data lineage, metadata, architecture, and pipeline logic.
• Collaborate with PMs, BAs, QA, Ops, and partners to deliver production-ready data solutions.
• Support DevOps practices for data pipelines (GitHub, CI/CD, deployment controls).
• Participate in Agile delivery activities such as sprint planning and stand-ups.

Skills

Data Fabric

Data integration

Data modeling (dimensional/relational)

Data governance

Regulatory/compliance data

DevOps for data pipelines

Education

BS Computer Science

BS Information Technology

BS Information Systems

Tools

MS SQL Server

T-SQL

Python

PySpark

Apache Spark

Kafka

Parquet

GitHub

CI/CD

Job description

About the Company:

BTI Payments Philippines, Inc., is an independent diversified payments technology provider. We are accredited by the Bangko Sentral ng Pilipinas (BSP) as Operator for Payment System, and BancNet as Independent ATM deployer.

To date, we own and manage over 4,000 Pay & Go kiosks and 39 Cash Connect ATM machines nationwide.

We are a wholly owned subsidiary of Banktech – a leader in ATM and payment technology in Australia for 25 years, bringing decades expertise and experience into transactions processing and payment device management, across Australia and Asia.

About the Role:

We are looking for a highly skilled Data Engineer with experience in banking or fintech environments to design, build, and maintain scalable data infrastructure that supports enterprise analytics, regulatory reporting, and digital financial services.

The role will focus on data architecture, data modeling, and integration development, including pipelines that integrate data from multiple sources and optimize data warehouse and lakehouse platforms. The goal is to deliver secure, high-quality, and reliable data outputs for dashboards, reports, regulatory submissions, and decision-making.

The ideal candidate has strong experience with Data Fabric frameworks, Microsoft Fabric or cloud-based data platforms, SQL-based data warehousing, Python/PySpark scripting, streaming technologies, and dimensional and relational data modeling, with a solid understanding of financial data structures, data governance, compliance, and regulatory requirements.

Key Responsibilities:

• Collaborate with business stakeholders, data analysts, and reporting teams to translate business and regulatory requirements into scalable data models, pipelines, and trusted datasets.

• Design and build scalable frameworks for data ingestion, transformation, orchestration, and data modeling to support high-volume transactional, operational, and financial analytics workloads.

• Develop and maintain ETL/ELT pipelines supporting batch, near-real-time, and streaming integration into the enterprise data platform.

• Perform data investigation, root-cause analysis, and performance optimization for ETL/ELT pipelines, reports, and downstream data products.

• Implement data quality validation, monitoring, reconciliation, and auditing mechanisms to maintain warehouse reliability, completeness, and performance.

• Maintain clear documentation for data lineage, metadata, data architecture, pipeline logic, and operational support procedures.

• Partner with Project Managers, Business Analysts, QA Engineers, Operations Support, and third‑party partners to deliver reliable, production‑ready data solutions.

• Support DevOps practices for data pipelines, including version control, CI/CD, deployment coordination, monitoring, and incident resolution.

• Participate in Agile delivery activities, including sprint planning, stand‑ups, reviews, and retrospectives.

Qualifications:

Education: Graduate of BS Computer Science, BS Information Technology, BS Information Systems, and other IT related courses.

Experience: At least 5 years of experience in data warehousing, data integration, ETL/ELT development, or enterprise data platform solutions.

Skills:

• Strong experience with Data Fabric architecture or data integration frameworks particular on Microsoft Fabric or comparable cloud‑based data platforms

• Proficient in MS SQL Server and T‑SQL/SQL scripting; experience with Python, PySpark, Apache Spark, Kafka or streaming technologies, and Parquet file formats.

• Experience designing and maintaining enterprise data warehouse, lakehouse, and data mart solutions, including Data Lake, OneLake, Lakehouse, Data Warehouse, and Data Marts.

• Strong understanding of dimensional and relational data modeling, data lineage, metadata management, and data governance practices.

• Working knowledge of DevOps practices for data pipelines, including GitHub or equivalent version control, CI/CD, release management, and deployment controls.

• Preferred: Experience with financial services, regulatory reporting, audit controls, data privacy, access controls, and compliance-driven data environments.

Why Join Us?

• Be part of a growing data‑driven organization

• Collaborative and fast‑paced team culture

Benefits and Perks

• Generous Leave Credits

• Allowances

• Hybrid Set-up

• HMO Day 1