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.

• 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.

• 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)