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MediCard Philippines, Inc. is seeking an experienced Data Engineer to design and maintain data systems and pipelines, turning raw data into actionable business insights. The role requires collaboration with data scientists, BI developers, and business analysts to support strategic decisions.
The position emphasizes hybrid work, 3-4 days onsite per week at the Makati head office, and a strong focus on data quality and scalable data models. Fluency in English is required.
At MediCard, we believe that diversity and inclusion are essential to fostering innovation, collaboration, and growth. We are committed to creating a workplace where everyone, regardless of gender, race, ethnicity, sexual orientation, disability, or any other characteristic, feels valued and empowered to contribute their unique perspectives and talents.
Our inclusive hiring practices ensure that we attract, hire, and retain the best talent from all backgrounds. We strive to provide equal opportunities for all candidates and promote a culture of respect, fairness, and transparency. We are dedicated to continuously improving our processes and policies to eliminate biases and barriers, ensuring that every employee has the support and resources they need to thrive.
A Data Engineer is a data professional who uses their expertise in data engineering and programming to build systems that collect, manage and convert raw data into usable information for business analysts.
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Internal
Collaborate with data scientists, business analysts, BI developers, and architects on several projects
Familiarize and understand of key business processes, tools and metrics
Ability to facilitate meetings and gather requirements from stakeholders
Effectively and proactively communicates with stakeholders, team-members and other support teams to promote synergy
Perform timely ad-hoc supports requests in support of business needs, escalations and/or process improvement initiatives
Manage end-to-end data-related requests completion in a timely manner
Create detailed process-flow and or documentations for all requests/projects handled
Identify and drive internal needs for improvements with the way we deliver our projects and the way we work
Bachelor’s degree in related field.
At least 5 to 10 years’ previous experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Advanced Hands-on experience with SQL database design and Databricks
Advanced experience in using Azure Cloud Databases
Great numerical and analytical skills
Degree in Computer Science, IT, or similar field; a Master’s is a plus
Data engineering certification (e.g IBM Certified Data Engineer) is a plus
Experience/Knowledge in using Salesforce, Sap, Oracle, Genesys is a plus
Ability to perform analysis, formulated conclusions and recommend actions.
Excellent verbal and written communication skills. Fluency in English required.
Ability to communicate and work with cross-functional teams and cross-country stakeholders is a must.
Strong organizational skills
Experience with project management is a plus
Highly motivated and eager to learn new applications and/or tools
Displays a positive and team first attitude
Continuously seeks ways to enhance contribution to those they support
Supports hybrid work model. Work at Home and Work at On-Site.
Must be able to juggle many multiple projects simultaneously.
Apache Spark Proficiency
Delta Lake Expertise
Programming Languages
SQL and Database Management
Cloud Platform Knowledge
Data Warehousing & Modeling
Soft Skills & Other Capabilities
Certifications (e.g., Databricks Certified Data Engineer Associate or Professional) are a strong plus
For your appreciation, these are some of the benefits that we are offering.