Data Engineer (AWS, Python)

An exciting opportunity awaits an experienced Data Engineer to join a forward-thinking organisation in BGC, Taguig, where you will play a key role in building scalable, cloud-based data solutions that enable business intelligence and advanced analytics.

This position offers the opportunity to design, develop, and optimise enterprise data pipelines, data warehouses, and data marts using AWS Glue, Snowflake, PostgreSQL, and MS SQL. Working within a collaborative Agile environment, you will partner with business and technical stakeholders to deliver high-quality, reliable data solutions while supporting cloud migration initiatives and data warehouse enhancements. If you enjoy solving complex data challenges, writing production-grade Python or Java code, and building modern data platforms that drive business decisions, this role offers an excellent opportunity to further develop your expertise.

Work at the forefront of cloud-based data engineering, leveraging AWS Glue, Snowflake, PostgreSQL, and MS SQL to build enterprise-scale data platforms supporting analytics and reporting.

Join a collaborative Agile team where you will contribute to end-to-end data engineering initiatives, from data modelling and pipeline development to cloud migration and optimisation.

Grow your technical expertise in a supportive environment that values continuous learning, innovation, and professional development.

What you'll do:

As a Data Engineer, you will design, build, and maintain scalable data solutions that support business intelligence and advanced analytics across the organisation. You will work closely with stakeholders to understand data requirements, develop efficient ETL pipelines, and optimise cloud-based data platforms. You will also contribute to data warehouse design, migration initiatives, and ongoing improvements to ensure high-quality, trusted data is readily available for reporting and analytics. Success in this role requires strong programming skills, hands-on cloud experience, and the ability to collaborate effectively within Agile delivery teams.

• Design and develop datasets for business intelligence, reporting, and advanced analytics based on stakeholder requirements.

• Build and maintain scalable data pipelines that ingest, transform, and curate data into the enterprise data warehouse.

• Design and develop data marts that support business users and downstream analytical applications.

• Implement and enhance data models aligned with enterprise data warehouse standards and best practices.

• Support data migration initiatives from legacy databases into modern cloud-based data warehouse environments.

• Develop, maintain, and optimise ETL workflows using AWS Glue and other cloud-based technologies.

• Build scalable data engineering solutions using Python or Java to automate and improve data processing.

• Perform data validation, cleansing, quality assurance, and housekeeping activities to ensure data integrity.

• Troubleshoot and optimise data pipelines, identifying opportunities to improve performance, scalability, and reliability.

• Follow data engineering standards, coding best practices, and Agile development methodologies throughout the software development lifecycle.

What you bring:

You are an experienced Data Engineer with strong expertise in cloud-based data platforms, ETL development, and modern data warehouse technologies. You have hands-on experience developing production-grade data pipelines using Python or Java and enjoy working collaboratively to solve complex data challenges. Your strong analytical mindset, attention to detail, and commitment to data quality enable you to deliver reliable solutions that support critical business decisions.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

• Minimum of 3–6 years of experience in Data Engineering or a similar role.

• Hands-on experience with AWS Cloud services, including AWS Glue, AWS RDS, and AWS Fargate.

• Strong programming skills in Python or Java, with the ability to develop scalable production-grade solutions.

• Experience designing, developing, and maintaining ETL pipelines and data integration workflows.

• Working knowledge of Snowflake (preferred), PostgreSQL, and Microsoft SQL Server.

• Strong understanding of data warehousing concepts, dimensional modelling, business intelligence, and analytics.

• Experience working within Agile delivery methodologies such as Scrum, Kanban, or SAFe.

• Strong analytical, troubleshooting, and problem-solving skills with attention to detail.

• Excellent communication and stakeholder management skills, with the ability to collaborate across technical and business teams.

• AWS certification is preferred; Snowflake SnowPro Core certification is an advantage.

What sets this company apart:

This organisation fosters an inclusive and collaborative culture where innovation, continuous learning, and teamwork are highly valued. Employees are empowered to take ownership of their work while benefiting from supportive leadership, ongoing professional development, and exposure to modern cloud technologies. With flexible working arrangements, a strong focus on technical excellence, and opportunities to contribute to impactful enterprise-wide initiatives, this is an environment where talented data professionals can continue to grow their careers.

Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.