Data Engineer

Client Industry: Banking

Employment: 12 month contract, extendable

Work Arrangement: Hybrid (3x on-site, 2x WFH)

Working Hours: Monday - Friday; 8:00 AM - 5:00 PM

Work Location: Mandaluyong

Salary: Php 140,000.00

Required Experience: 6 years

Scope of Work:

• Design and develop scalable data pipelines that extract data from various source systems and transform data inside the data warehouse.

• Transform data into data models that adhere to dimensional modelling techniques i.e. Kimball.

• Create visually compelling and informative dashboards and reports using Power BI.

• Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.

• Ensure data accuracy and integrity through validation and quality checks.

• Design interactive, user-friendly visualizations tailored to different stakeholder needs.

• Participate in Agile development processes including Scrum and Kanban events.

• Prepare high-level and detailed technical designs for data solutions.

• Apply best practices in coding, testing, and deployment including CI/CD pipelines.

• Stay updated with the latest trends in data engineering and visualization and suggest process improvements.

• Perform other relevant tasks as assigned.

Educational Requirements: Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in a senior analytics engineering or developer role.

• At least five (5) years of experience in architecture, design, and development of integrated systems.

• Strong analytical and problem-solving skills.

• Strong understanding of dimensional modelling techniques

• Familiarity with software development lifecycle and project management methodologies.

• Proven experience with relational databases like Oracle, SQL Server, etc.

• Proven experience developing data pipelines using Python, PySpark and SQL.

• Extensive experience with Microsoft 365 applications.

• Familiarity with cloud platforms such as Azure or AWS.

• Experience in Agile methodologies (e.g., Scrum or Kanban).

• Proficiency in Power BI; experience with Tableau and other visualization platform is a plus.

• Experience with building and maintaining ML or AI pipelines is preferred.

• Exposure to end‑to‑end Generative AI and LLM workflows, including chatbot/assistant integration, basic data preparation, model orchestration, and embedding these capabilities into existing data pipelines is preferred.

• Practical experience supporting ML solutions, such as predictive analytics or forecasting models, including deployment, monitoring, and data lifecycle management within modern data architectures, is preferred.

• Experience with Azure DevOps is preferred.

• Experience with Azure Cloud Services and CI/CD pipelines is an advantage.

• Certifications in Secure Coding, Scrum, or DevOps are a plus.

• Experience working in teams of five or more members.

• Ability to work with senior executives from diverse cultures.

• Excellent oral and written communication skills in English.