Senior Data Platform Engineer

ERNI; Pasig; Hybrid; PHP 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Baby Basket

Fruit Basket

Free snacks and coffee

Free training with certifications

Hybrid set-up

Job summary

ERNI is a fast-growing software development company with a global footprint, headquartered in Switzerland. The Philippines service center in Metro Manila engineers innovative software across MedTech, Finance, Industry, and Transportation sectors.

We seek a Senior Data Platform Engineer to design and evolve secure Azure-based data lake and warehouse architectures, build scalable data pipelines, and enable analytics capabilities for enterprise-scale projects.

Qualifications

• Bachelor’s degree or higher in a relevant field such as Information Technology, Computer Science, Data Science or Engineering.

Responsibilities

• Design, build, and maintain scalable data pipelines and data lake/warehouse architectures on Microsoft Azure.
• Collaborate with product delivery teams and stakeholders to translate requirements into practical data solutions.
• Develop secure, unit-tested code for data integration services and platform components.
• Participate in Agile delivery processes (Scrum/Kanban) and CI/CD practices.

Job description

ERNIis 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;ALLcompanyPERKS AND BENEFITStake effectUPON 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

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 skillful 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.

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.

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?z

Bachelor's degree in information technology, Engineering, Data Science, or a related field.

At least five years of experience in data engineering, platform engineering, or software engineering, including architecture, design, and development of integrated systems.

Experience developing scalable data pipelines and modern data warehouse solutions using Databricks, Python, and PySpark.

Practical experience with relational databases, especially PostgreSQL.

Experience developing microservices for data integration using TypeScript or Python.

Experience ingesting data from SharePoint Online, Excel files, and other enterprise data sources.

Proven experience with Infrastructure as Code tools such as Terraform.

Strong analytical, troubleshooting, and problem-solving skills.

Familiarity with SDLC, project management practices, and Agile frameworks such as Scrum or Kanban.

Ability to work effectively with senior executives and stakeholders from diverse cultural backgrounds.

Excellent oral and written communication skills in English.

Preferred Qualifications

Knowledge of Power BI semantic models, DAX, and REST API integration.

Relevant certifications in secure coding, Scrum, DevOps, Azure, or Databricks.

Experience working in collaborative teams of five or more members.

Exposure to financial systems, projection models, assumptions management, or enterprise reporting modernization.

Technical Skill Expectations

Required: Microsoft Azure, Azure DevOps, CI/CD, Databricks, Python, PySpark, PostgreSQL, data pipelines, modern data warehouse design, TypeScript or Python microservices,SharePoint Online and Excel data ingestion, Terraform, secure coding practices, SDLC, and Agile delivery.

Advantageous: Power BI semantic models, DAX, REST API integration, Scrum, Kanban, Azure or Databricks certifications, and experience with financial projection or reporting platforms.

How can you contribute to the team?

The Senior Data Platform Engineer will design, develop, optimize, and support the enterprise data platform for the FPALMS modernization initiative. The role will help build secure and cost-efficient Azure data lake and warehouse architectures, implement reliable data pipelines, support analytics enablement, and translate business and delivery requirements into working technical solutions.

Key Responsibilities

Design, build, and maintain scalable, secure, and cost-efficient data pipelines and data lake or warehouse architectures on Microsoft Azure.

Support the adoption and implementation of modern data engineering tools and frameworks, including Databricks and Azure Data Factory.

Monitor, optimize, and troubleshoot data platform performance, reliability, and operational efficiency.

Collaborate with product delivery teams and business stakeholders to define data requirements and deliver dependable data solutions.

Prepare high-level and detailed technical designs for data solutions.

Apply best practices in software development, testing, deployment, and CI/CD automation.

Develop and maintain secure, unit-tested code for platform components, data integration services, and related engineering deliverables.

Participate in Agile delivery processes, including Scrum and Kanban ceremonies.

Stay current with emerging data and analytics technologies and recommend continuous improvements.

Perform other related duties as assigned.

Reporting and Coordination

The Senior Data Platform Engineer will report to the Product Delivery Manager and/or designated staff. The role will work closely with business stakeholders, data analysts, analytics engineers, product delivery teams, and other teams within the organization.

High-level and detailed technical designs.

Unit-tested and secure code.

Interactive and insightful dashboards and data products where required.