Senior Data Engineer (w/ Data Management)
Mandaluyong, Philippines
ERNI
Wir beraten Unternehmen in Innovation und Technologie mit dem Ziel, ihre Leistungsfähigkeit durch Software zu steigern und ihre geschäftskritischen Prozesse zu digitalisieren.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:
- University Degree in Computer Science/Engineering/Physics is preferred or with Strong IT Background
- At least 7-10 years’ experience in Data Analytics
- 5+ years in Project/Delivery Management of Data Analytics Projects
- Data Warehouse, Data Lake, Data Lakehouse, Data Migration, Data Engineering type of projects.
- Hands-on experience with Azure components (Azure SQL DB, Azure Synapse Azure ADF, Azure Datalake)
- Experience in designing and implementing data governance frameworks, policies and procedures.
- Experience with Data Science Projects is a nice to have.
- Experience in Data Management Operations.
- Background working in Multinational Companies.
- Good working knowledge of business and related process in FMCG Industry
- Acts with a sense of urgency and clear understanding of priorities and strategic importance.
- Can work independently with minimum supervision but ensures clear understanding of expected outcome; highly organized, proven self-starter.
- Also team-oriented, and able to network and establish good connections
- Creative, innovative, enterprising, ability to think outside the box and challenge the status quo
- Able to work under pressure and to think on his/her feet. · Communicates effectively.
💼How can you contribute to the team?
- Business Requirements Gathering, assessments, impact analysis etc that relates with the 3 data analytics work streams (Azure SQL DB migration, set-up new data lake and data governance).
- Translate the business needs into solutions after assessments etc
- Involved in projects to localize and roll out of centralized systems, including the detailed planning and execution of the project/changes, external resources and go-live.
- Work closely with Business Manager to provide support on project, solutioning, and/or operational needs.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data Analytics Data governance Data management Data warehouse Engineering Finance Physics SQL
Perks/benefits: Career development Snacks / Drinks Team events
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