Sr. Data Engineer

Overview

Be part of one of the Philippines’ “Best Workplaces 2024”

Tech One Global Philippines is an organization that champions in diversity and believes in the growth of our people and to build an empowered community with empathy and build innovative solutions to achieve remarkable results. Jumpstart a career and drive towards creating an impactful change

Here at Tech One Global Philippines, you will be right at the heart of the goal: Become a ripple effect by contributing to our global projects and working with diverse talented individuals across our offices. You will foster a growth-mindset culture with a team of individuals who listen.

The Senior Data Engineer is responsible for architecting, developing, and optimizing complex data pipelines and infrastructure using Microsoft Azure technologies to support the evolving data needs of external clients. This role involves leading the end-to-end design and implementation of scalable, secure, and high-performance data solutions — from ingestion and transformation to delivery and governance. The Senior Data Engineer plays a key role in shaping data architecture, mentoring junior engineers, and collaborating with cross-functional teams to enable advanced analytics, reporting, and machine learning. This position combines hands-on engineering with strategic input to ensure data systems are robust, efficient, and future-ready.

• Lead the design and architecture of scalable, secure, and high-performance data pipelines using Azure Data Factory, Synapse Analytics, and Microsoft Fabric
• Develop and maintain advanced ETL/ELT frameworks to support complex data integration from diverse structured and unstructured sources
• Oversee data quality, reliability, and performance across environments, implementing monitoring and alerting strategies
• Collaborate with cross-functional teams to translate business requirements into robust data solutions that support analytics, reporting, and machine learning
• Drive the adoption of data engineering best practices, including CI/CD, version control, and infrastructure-as-code
• Ensure compliance with data governance, security, and privacy standards (e.g., GDPR, HIPAA), and contribute to internal policy development
• Mentor and guide junior data engineers, conducting code reviews and fostering a culture of continuous improvement
• Evaluate and integrate emerging technologies to enhance the data platform’s scalability, maintainability, and performance

• Education: Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field
• Experience: 5+ years of experience in data engineering, with a proven track record of leading complex data projects and mentoring teams
• Technical Skills:
• Proven expertise in SQL and Python for building and automating data pipelines, transformations, and validations
• Deep experience with data warehousing and data lake architectures, including performance tuning and optimization
• Advanced hands-on experience with Microsoft Azure data services, including Azure Data Factory, Synapse Analytics, Azure Data Lake Storage, and Microsoft Fabric
• Strong background in data modeling, database design, and query optimization for large-scale datasets
• Practical experience implementing CI/CD pipelines and DevOps practices in data engineering workflows
• Proficient in using version control systems like Git and managing collaborative development environments
• Solid understanding of data governance, security, and compliance frameworks, with experience implementing controls in production environments
• Soft Skills:
• Strategic thinking, leadership, and mentoring capabilities
• Excellent communication and stakeholder management skills
• Passion for innovation and continuous learning

We encourage you to apply even if you think you may not match 100% of the criteria. You may surprise yourself, or we may have another opportunity that fits your potential. While we can’t talk to every applicant personally, we will always try our best to make you feel listened to and supported throughout the experience.