[Job - 23876} Data DevOps Engineer (Infrastucture)

Overview

CI&T National Capital Region, Philippines

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 7,400 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are seeking a Data DevOps Engineer with extensive hands-on experience in Data Architecture and Engineering to serve as a technical contributor within our team. This role focuses on working primarily with Australian clients and the broader APAC region. As a Senior Data Engineer, you will be responsible for designing, building, and deploying cutting-edge data solutions while contributing to establishing our data practice in Australia.

Key Accountabilities

• Design, implement, and maintain automated deployment pipelines for Microsoft Fabric, Azure Data Factory, and related Azure services, ensuring consistent and reliable delivery of platform components across environments.
• Develop and manage Infrastructure as Code (IaC) using Terraform (or equivalent) to provision, configure, and manage Azure resources in a controlled and repeatable manner.
• Collaborate with architects, developers, and data engineering teams to integrate DevOps practices into the end-to-end data platform delivery process.
• Optimise CI/CD workflows for data pipelines, semantic models, and associated infrastructure, enabling faster, more reliable releases.
• Implement environment configuration management and governance to ensure compliance with enterprise standards, security, and performance requirements.
• Monitor, troubleshoot, and improve deployment processes, proactively identifying and resolving issues that may impact delivery timelines or platform stability.
• Maintain technical documentation for DevOps processes, IaC configurations, and deployment standards to ensure clarity and reusability.
• Support cross-team collaboration by providing clear guidance on branching strategies, release management, and deployment best practices.
• Ensure operational readiness of deployed solutions through post-deployment validation, performance checks, and integration testing.

Knowledge and Experience

• Proven experience in data platform DevOps, including automation of deployment pipelines for Azure-based data solutions.
• Strong proficiency in Azure DevOps for CI/CD pipeline creation, management, and monitoring.
• Hands-on expertise with Infrastructure as Code (IaC) tools such as Terraform for provisioning, configuring, and managing Azure resources.
• Experience deploying and managing components in Microsoft Fabric, Azure Data Factory, and related Azure data services.
• Familiarity with modern data file formats such as Delta Tables, Apache Iceberg, and Parquet.
• Proficiency in Python and Shell scripting to support automation, deployment, and monitoring processes.
• Working knowledge of data modelling principles and common practices in enterprise data platforms.
• Experience with cloud data services within the Microsoft Intelligent Data Platform ecosystem, with additional exposure to AWS or GCP as an advantage.
• Understanding of data pipeline orchestration patterns and best practices for automated deployment of ETL/ELT workflows.
• Solid grasp of data governance, security, and compliance considerations for cloud-hosted data solutions.
• Knowledge of design patterns, clean architecture, and coding best practices for maintainable deployment scripts and automation workflows.
• Familiarity with unit, integration, and end-to-end testing strategies within a DevOps context.

Personal Attributes

• Mentorship: Ability to mentor and share knowledge with junior team members, fostering their growth and development.
• Consulting Mindset: Demonstrate adaptability in diverse situations, effectively managing changing priorities while maintaining a positive attitude.
• Communication: Strong communication skills, capable of communicating clearly and efficiently with team members and clients and presenting ideas effectively according to the audience and context.
• Non-functional Requirements: In-depth understanding of non-functional requirements, including performance, security, data privacy, and protection.
• Passion for Data: A genuine passion for working with data, evident in your enthusiasm for coding, experimenting, and problem-solving.
• Innovative Spirit: Excited by the challenge of deploying pipelines and dashboards, with a drive to continuously improve and innovate.
• AI Enthusiast: Keen interest in AI technologies, such as Generative AI, for self-augmentation and performance improvement.

About us

We’re global digital specialists, here to Collaborate, Innovate and Transform business into the future. We bring a 29-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency. 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.

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries
• IT Services and IT Consulting

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