Senior Data Platform Engineer at ERNI Philippines

Mandaluyong, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Data Lake, Data Warehouse Architectures, Cloud Platforms, Azure, AWS, Terraform, Microservices, TypeScript, Python, Databricks, Azure Data Factory, Microsoft SQL Server, Agile, Scrum, Kanban

Industry

IT Services and IT Consulting

Description

ERNI is a fast-growing Software Development company headquartered and founded in Switzerland in 1994, with more than 800 employees. We are highly specialized in IT & software engineering to enable and deliver innovation in process and technology. Our first service center in Asia Pacific is in Metro Manila (Mandaluyong) from where we provide our service to Europe, APAC incl. our local market Philippines, and USA regions. We are now geared towards expansion and are looking for highly motivated joiners. WHY ERNI is the best place to call HOME? 🏡 🤩 At ERNI, this is how we can support you; ALL company PERKS AND BENEFITS take effect UPON HIRING! Contract: there is always a project and opportunity for you. Personal Development and Travel Opportunities outside the Philippines. Baby Basket – to welcome your newborn to the ERNI family. Fruit Basket – boost of vitamins during hospitalization. Free snacks and coffee in the office 🔐 UNLOCKING NEW DOORS OF GROWTH & OPPORTUNITIES Free Training with Certifications: Grow with us through technical and non-technical training. Challenging Projects: ERNI is dedicated to developing high-quality software in complex technical environments such as MedTech, Industry, Finance, and Transportation. Have the chance to participate in various technically challenging projects amongst passionate and skilled colleagues. Employee Welfare: You will be guided by a group of people who will guide and support you to have the right tools and mindset. Promotions & Recognition: From the very first day, we offer you a way to learn and develop yourself in our company. Your colleagues and superiors consistently recognize and appreciate all efforts, making you feel satisfied with your achievements. Communication: You will find transparency, honesty, and open communication in our working culture. we value suggestions, opinions, and feedback from all employees. ⏱ FLEXIBILITY Hybrid Set-Up: We are combining both remote work and in-person work. The hybrid setup will allow you to reduce commuting time and have a more flexible work schedule. This will help you to manage better your work-life balance. 🎉 EVENTS: We provide many opportunities to connect and build relationships. We are learning, growing, and celebrating achievements together. You will experience a wide range of different exciting activities. What to expect? Leisure Events, Summer Events, Family Events, Social Events, and Year-End Events. 👋 What are our wishes? 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 platform engineering or software engineering role. At least five (5) years of experience in architecture, design, and development of integrated systems. Strong analytical and problem-solving skills. Proven experience with cloud platforms such as Azure or AWS. Proven experience in Infrastructure as Code tools like Terraform Proven experience developing microservices for data integration using TypeScript or Python Familiarity with developing data pipelines modern data warehousing solutions like Databricks Familiarity with relational databases like Microsoft SQL Server, etc. Familiarity with software development lifecycle and project management methodologies. Experience in Agile methodologies (e.g., Scrum or Kanban). 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. 💼 How can you contribute to the team? The Senior Data Platform Engineer will be responsible for the design, development, and optimization of our enterprise data platform. This role is key in building scalable data infrastructure, enabling advanced analytics, and supporting data-driven decision-making across the organization. Scope of Work and Responsibilities: Design, build, and maintain scalable and secure data pipelines and data lake/warehouse architectures. Optimize data workflows for performance and cost-efficiency in cloud environments (e.g., Azure) Lead the adoption of modern data engineering tools and frameworks (e.g., Databricks, Azure Data Factory). Monitor and troubleshoot data platform performance and reliability issues. Collaborate with the product delivery team and business stakeholders to understand data requirements and deliver meaningful insights. 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 analytics engineering and suggest process improvements. Perform other relevant tasks as assigned. Work Arrangement Hybrid, requiring employees to report onsite three times a week. If the user unit requires contractors to report to HQ, compliance is mandatory. Work Schedule is from 8:00AM – 5:00PM Manila Time.

Responsibilities

The Senior Data Platform Engineer will design, build, and maintain scalable and secure data pipelines and data lake/warehouse architectures, optimizing workflows for performance and cost-efficiency in cloud environments. This role involves leading the adoption of modern data engineering tools, monitoring platform reliability, and collaborating with stakeholders to deliver meaningful insights.