Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team. 

Why ERNI is the Perfect Place for You: 🏡 

• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.


🤩Perks and Benefits: 
• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.

🔐Growth and Opportunities: 

• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,
Finance, and Transportation.
• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and
opportunities for promotion.
• Open Communication: Experience transparency and value your input in our culture.

⏱Flexibility: 
• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.

🎉Events: 
• Connect and Celebrate: Participate in a variety of events including leisure, summer,
family, social, and year-end gatherings.

👋What are our wishes: 

• 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.

💼How can you contribute to the team?

• 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. INTERNAL. This information is accessible to ADB Management and Staff. It may be shared outside ADB with appropriate permission.

• 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.