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.
• Wedding Gift: To celebrate your special day.
• 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:

Educational Background:

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field.
• Relevant certifications (e.g., DAMA Certified Data Management Professional, Microsoft Certified: Azure Data Scientist Associate) can be beneficial.

Technical Skills:

• 2-5 years of experience in Data Engineering and Data Governance.
• Proficiency in programming languages such as Python and SQL.
• Experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong understanding of data modeling techniques and tools (e.g., ER/Studio, ERwin, IBM InfoSphere Data Architect).
• Familiarity with data governance frameworks and tools (e.g., Collibra, Informatica, Alation).
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing.

Analytical Skills:

• Strong problem-solving skills and the ability to think critically.
• Experience in designing and implementing data models and ensuring data quality.
• Ability to analyze large datasets to identify patterns, trends, and anomalies

Communication Skills:

• Good communication skills to present complex data insights to non-technical stakeholders.
• Ability to write clear and concise reports and create impactful presentations.

Domain Knowledge:

• Understanding of data governance principles and best practices.
• Familiarity with Responsible AI principles and frameworks.

Collaboration and Leadership:

• Experience working with cross-functional teams and various business stakeholders.
• Ability to lead small projects or initiatives and contribute to team meetings.

💼How can you contribute to the team?

• Work actively with various business stakeholders to understand departmental needs and use data to solve these needs.
• Perform data investigation and analysis.
• Design data modeling processes, predictive models, and create algorithms using data science techniques, including machine learning, statistical modeling, and artificial intelligence.
• Present results to stakeholders and adjust based on feedback.
• Implement and adhere to the client’s Responsible AI Framework throughout their work.
• Collect and analyze data to derive business insights.
• Transform data into suitable formats for analysis.
• Create new, enterprise frameworks to collect data.
• Build tools for automating data collection.
• Search through large datasets to extract valuable information.
• Generate reports and presentations for business use.
• Correlate similar data to identify actionable insights.
• Analyze large datasets to identify unusual patterns, trends, and anomalies that may indicate fraudulent activities.
• Amend and implement predictive models to forecast fraud risks and trends.
• Work with Data and Analytics Team and other departments to enhance fraud detection tool.
• Lead and drive weekly cadence meeting on progress of fine-tuning, amendment of existing detection tool or development of new data.
• Educate and train Data and Analytics Team on fraud detection strategies and best practices.