At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
At CI&T, we don't just deliver digital experiences; we engineer quality into every product we ship. As part of our dynamic team, you'll have the opportunity to safeguard the reliability, performance, and usability of end-to-end digital solutions for a diverse clientele, including some of Australia's most well-known brands.
This role offers a unique opportunity to contribute to a major enterprise client's strategic initiative. You'll embed automated testing, AI-assisted workflows, and modern test tooling into our delivery lifecycle, partnering across mobile, web, and platform teams to ensure quality is built in — not bolted on.
The ideal candidate will be part of a CI&T team working directly with clients. They will bring deep expertise in automated testing, hands-on experience with Playwright (web) and Maestro (mobile), and a working command of AI-driven workflows that accelerate test design, generation, and maintenance.
You will play a key role in defining test strategy, building automation frameworks, and validating quality across modern web applications, mobile apps, and broader digital ecosystems; projects that demand rigour.
Benefits & Perks
- Allowance: ₱5,000 (taxable and non-taxable)
- Paid Leaves:
- Year 1: 12 Vacation Leaves (VL) and 10 Sick Leaves (SL)
- Year 2 onwards: 20 VL and 10 SL
- Leave Conversion: Up to 5 unused vacation leaves may be converted or carried over
- HMO Coverage: Up to ₱250,000 per illness per year, with 2 free dependents
- Referral Program: Incentives for successful talent referrals
- Pantry Perks: Complimentary coffee, milk, chocolate, and snacks
- Company Engagement: Quarterly company-sponsored meals (Happy Hour)
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
Job Responsibilities: Design, develop, and maintain scalable data pipelines and ETL workflows.
- Build and optimize data storage solutions, including data warehouses and data lakes
- Work closely with data scientists and analysts to fulfill data requirements and facilitate efficient data access
- Ensure system-wide data quality, consistency, and reliability
- Develop and maintain robust data models and table structures
- Implement comprehensive data security measures and access controls
- Optimize SQL queries and enhance data retrieval performance
- Research, evaluate, and integrate new data technologies and tools
- Mentor junior data engineers and provide technical leadership within the team
- Collaborate cross-functionally to support data-driven business decision-making
Qualifications & Requirements
- Bachelor's degree or higher in Computer Science or a related field
- At least 5 years of relevant experience in data engineering
- Proficiency in at least one of the following programming languages: Python, Java, or Scala
- Extensive hands-on experience with big data technologies such as Hadoop, Spark, and Hive
- Strong expertise in SQL and familiarity with both relational and NoSQL databases
- Proven experience working with cloud platforms such as AWS and Azure, including their native data services
- Solid understanding of data modeling, data warehousing, and ETL best practices
- Strong logical reasoning, attention to detail, and problem-solving skills
- Excellent communication and collaboration abilities
Preferred Qualifications (Bonus Points)
- Experience with stream processing frameworks such as Kafka, Flink, or Delta Live Tables
- Familiarity with data governance and regulatory compliance requirements
- Experience with containerization technologies, including Docker and Kubernetes
- Active contributions to open-source projects or possession of relevant technical certifications
- Previous experience using the Tencent Big Data platform
- Proficiency in Power BI for analytics, dashboard development, and reporting
