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AI Data Engineer (GAA, Philippines: Cebu)

Teradyne teradyne.com Open · verified Oct 24, 2026
Lapu-Lapu City Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Teradyne. Lapu-Lapu City.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationLapu-Lapu City
PostedSep 24, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain data pipelines, models and platform architecture for analytics, automation and operational reporting
  • Administer Snowflake, Informatica Cloud and Power BI, monitoring performance, security and reliability
  • Create Power BI reports, semantic models and dashboards, and turn stakeholder needs into analytical solutions
  • Automate manual workflows with reusable scripts and tools, including support for AI agents and intelligent automation
  • Troubleshoot platform issues, document operating procedures and guide teammates through technical work

What you bring

  • At least four years in data engineering, analytics engineering, platform engineering, BI administration or a related role
  • A bachelor's degree in business, information systems or a related field
  • Advanced practical experience with Informatica Intelligent Cloud Services and Snowflake, including SQL, modeling and platform operations
  • Hands-on Power BI administration and development across workspaces, datasets, refreshes, security and reports

Who this fits

This role suits a mid-level data professional who can work independently through complex problems and follow solutions through to completion. You'll collaborate with support, engineering, architecture, security and business teams, and provide technical guidance to colleagues. The position is based in Basak, Philippines.

From the employer

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

Data Platform Engineering

  • Design, develop, and maintain scalable data integration and data processing solutions across enterprise platforms.
  • Build and optimize ETL/ELT pipelines using modern cloud-based technologies.
  • Develop and maintain data models, datasets, and supporting architecture for analytics, automation, and operational reporting.
  • Ensure data quality, reliability, performance, and governance across supported platforms.
  • Support platform modernization, migration, and continuous improvement initiatives.

Enterprise Platform Administration & Support

  • Administer and support enterprise data platforms including Snowflake, Informatica Cloud, Power BI, and related technologies.
  • Monitor platform health, performance, security, and operational usage.
  • Troubleshoot complex technical issues and coordinate resolution activities across multiple teams.
  • Participate in platform upgrades, maintenance activities, and governance initiatives.
  • Develop and maintain operational documentation, standards, and procedures.

Automation & Process Optimization

  • Identify opportunities to eliminate manual processes through automation and technology solutions.
  • Design and implement automated workflows, integrations, and operational controls.
  • Develop reusable frameworks, scripts, and tools that improve efficiency and reduce operational overhead.
  • Promote best practices for automation, operational excellence, and continuous improvement.
  • Support AI-driven and intelligent automation initiatives across the organization.

Analytics, Reporting & Business Intelligence

  • Develop, administer, and optimize Power BI reporting solutions, semantic models, and dashboards.
  • Support enterprise reporting, data visualization, and self-service analytics initiatives.
  • Ensure data consistency, governance, and security across reporting environments.
  • Work with business and technical stakeholders to translate requirements into analytical solutions.
  • Deliver actionable insights through data visualization and performance reporting.

AI & Emerging Technologies

  • Evaluate, implement, and support AI-enabled capabilities that improve business operations and user productivity.
  • Participate in the design and integration of AI agents, copilots, and intelligent automation solutions.
  • Collaborate with architecture, engineering, and business teams to identify high-value AI use cases.
  • Stay current on emerging technologies and industry best practices.
  • Contribute to the adoption of modern AI and automation capabilities across enterprise platforms.

Collaboration & Leadership

  • Partner with cross-functional teams to deliver technology solutions aligned with business objectives.
  • Provide technical guidance and mentorship to team members.
  • Participate in planning, prioritization, and execution of strategic initiatives.
  • Communicate effectively with both technical and non-technical stakeholders.
  • Foster a culture of teamwork, accountability, empathy, and continuous improvement.

All About You

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum qualifications for this position.

  • 4+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, Business Intelligence Administration, or related roles.
  • Bachelor’s degree in Business, Information Systems, or a related field required
  • Hands-on advanced experience with Informatica Intelligent Cloud Services (IICS / CDI-PC).
  • Hands-on advanced experience with Snowflake, including SQL development, performance optimization, data modeling, security concepts, and operational monitoring.
  • Hands-on experience administering and developing in Power BI, including workspaces, datasets, semantic models, refresh schedules, gateways, security, and reports.
  • Problem Solver: Demonstrated ability to independently analyze complex problems, identify root causes, and deliver practical solutions without creating unnecessary operational overhead.
  • Ownership: Strong sense of accountability, follow-through, and bias toward execution.
  • Teamwork: Collaborative mindset with the ability to work effectively across support, engineering, architecture, security, and business teams.
  • Adaptability: Comfortable working through ambiguity, changing priorities, and evolving AI/data platform technologies

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.