Data Engineering Lead

CTT.Synergy Corporation

Metro Manila

Ibrido

PHP 2.500.000 - 4.200.000

Tempo pieno

8 giorni fa

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Descrizione del lavoro

CTT.Synergy Corporation in Metro Manila is seeking a Head of Data Engineering to lead the design, architecture, and scaling of our enterprise data platform for a fast-growing online grocery ecosystem.

You will drive real-time inventory tracking, demand forecasting, and optimized last-mile delivery by connecting supply chain systems, dark stores, rider apps, and customer touchpoints into actionable insights.

Competenze

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Technology, Statistics, or a related quantitative field.
At least 8 years of total experience in software or data engineering, with at least 3 to 5 years in a leadership/management role (e.g., Data Engineering Manager or Head of Data).
Proven track record in high-growth industries such as e-commerce, quick-commerce, fintech, logistics, or multi-branch retail, ideally within the Philippine market.

Mansioni

Define and execute the company’s long-term data engineering roadmap, ensuring alignment with overall business objectives and rapid e-commerce growth.
Design, build, and maintain scalable, resilient, and high-performance distributed data architectures (data lakes, data warehouses, and lakehouses) capable of handling massive transactional volumes.
Modernize legacy data structures and introduce cutting-edge cloud infrastructure to optimize performance and reduce query latency.
Oversee the end-to-end design, implementation, and automation of robust ETL/ELT pipelines.
Implement real-time data streaming architectures (e.g., tracking live grocery inventory updates, stockouts, rider locations, and dynamic pricing changes).
Ensure fault-tolerant data ingestion from disparate sources, including third-party merchant APIs, payment gateways, and logistics tracking tools.
Lead, mentor, and scale the data engineering team, fostering a culture of technical excellence, continuous learning, and ownership.
Manage hiring, resource allocation, capacity planning, and performance management for the department.
Establish engineering best practices, code review standards, CI/CD automation, and rigorous documentation frameworks.
Partner closely with Data Science and Analytics teams to feed clean, structured, and reliable data for machine learning models.
Work hand-in-hand with Product, Software Engineering, and Operations/Supply Chain teams to ensure data instrumentation is embedded into new product features from day one.
Champion data governance frameworks, ensuring data accuracy, consistency, integrity, and lineage across the organization.
Enforce stringent data security practices and compliance policies, strictly adhering to the Data Privacy Act of 2012 (RA 10173) and other relevant regulatory guidelines in the Philippines.

Conoscenze

Python

SQL

Scala or Java

Spark

Hadoop

Kafka

Flink

AWS

GCP

Azure

Formazione

Bachelor’s or Master’s degree in Computer Science / Software Engineering / Data Science / IT / Statistics

Strumenti

Airflow

Dagster

dbt

Docker

Kubernetes

Descrizione del lavoro

Job Title: Head of Data Engineering

Department: Technology Department

Work Setup: Hybrid

Reports to: Chief Technology Officer (CTO) / Technology Leads

About the Role

As the Data Engineering Lead, you will spearhead the design, architecture, and scaling of our enterprise data platform. In the fast-paced online grocery ecosystem—where success hinges on real-time inventory tracking, predictive demand forecasting, lightning-fast order fulfillment, and optimized last-mile delivery across the Philippine archipelago—data is our core operational heartbeat.

You will lead a high-performing team of data engineers, database administrators, and analytics infrastructure specialists. Your mission is to build robust, secure, and scalable data pipelines that seamlessly connect supply chain systems, dark store/warehouse management tools, rider apps, and customer-facing mobile/web touchpoints into actionable, real-time insights.

Key Responsibilities

1. Data Strategy & Architecture Leadership

Define and execute the company’s long-term data engineering roadmap, ensuring alignment with overall business objectives and rapid e-commerce growth.
Design, build, and maintain scalable, resilient, and high-performance distributed data architectures (data lakes, data warehouses, and lakehouses) capable of handling massive transactional volumes.
Modernize legacy data structures and introduce cutting-edge cloud infrastructure to optimize performance and reduce query latency.

2. Pipeline Optimization & Real-Time Processing

Oversee the end-to-end design, implementation, and automation of robust ETL/ELT pipelines.
Implement real-time data streaming architectures (e.g., tracking live grocery inventory updates, stockouts, rider locations, and dynamic pricing changes).
Ensure fault-tolerant data ingestion from disparate sources, including third-party merchant APIs, payment gateways, and logistics tracking tools.

3. Team Leadership & Talent Development

Lead, mentor, and scale the data engineering team, fostering a culture of technical excellence, continuous learning, and ownership.
Manage hiring, resource allocation, capacity planning, and performance management for the department.
Establish engineering best practices, code review standards, CI/CD automation, and rigorous documentation frameworks.

4. Cross-Functional Collaboration

Partner closely with Data Science and Analytics teams to feed clean, structured, and reliable data for machine learning models (e.g., demand forecasting, SKU recommendations, and route-optimization algorithms).
Work hand-in-hand with Product, Software Engineering, and Operations/Supply Chain teams to ensure data instrumentation is embedded into new product features from day one.

5. Data Governance, Quality, & Security

Champion data governance frameworks, ensuring data accuracy, consistency, integrity, and lineage across the organization.
Enforce stringent data security practices and compliance policies, strictly adhering to the Data Privacy Act of 2012 (RA 10173) and other relevant regulatory guidelines in the Philippines.

Qualifications & Requirements

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Technology, Statistics, or a related quantitative field.
At least 8 years of total experience in software or data engineering, with at least 3 to 5 years in a leadership/management role (e.g., Data Engineering Manager or Head of Data).
Proven track record in high-growth industries such as e-commerce, quick-commerce, fintech, logistics, or multi-branch retail, ideally within the Philippine market.

Technical Skills & Expertise

Programming Languages: Advanced proficiency in Python, SQL, and Scala or Java.
Big Data & Processing Frameworks: Deep hands-on experience with distributed data systems and frameworks such as Apache Spark, Hadoop, Kafka, or Flink.
Cloud Platforms: Extensive experience architecting data solutions on major cloud environments (AWS, Google Cloud Platform (GCP), or Microsoft Azure).
Data Warehousing & Modeling: Mastery of modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and dimensional modeling techniques (Star/Snowflake schema).
Orchestration & DevOps: Familiarity with workflow management and CI/CD tools (e.g., Airflow, Dagster, dbt, Docker, Kubernetes).

What We Offer