Senior Analytics Engineer at ERNI Philippines

Mandaluyong, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Dimensional Modelling, Power BI, Data Visualization, Agile Methodologies, Python, SQL, Azure, AWS, CI/CD, Relational Databases, Problem Solving, Communication, Team Collaboration, Data Accuracy, Technical Design

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? 💼 How can you contribute to the team? About the Role: The Senior Analytics Engineer will be responsible for designing, developing, and maintaining end-to-end data solutions. This includes building robust data pipelines that extract from source systems into the data warehouse, transforming raw data into well-modeled datasets readily available for business intelligence, and creating interactive and user-friendly data visualizations using Power BI. The role requires close collaboration with cross-functional teams to empower business stakeholders to derive actionable insights and make data-driven decisions across the organization. Scope of Work/Responsibilities 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. EDUCATION 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 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. 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 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. 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 Analytics Engineer will design, develop, and maintain end-to-end data solutions, including building data pipelines and creating data visualizations. The role involves collaboration with cross-functional teams to empower stakeholders with actionable insights.