CI&T
Overview
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 optimisation. 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 framework to ensure reliable platform delivery. 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 and thriving in ambiguous environments. CI&T | Senior Data Engineer 2
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. Salary: ₱120,000 - ₱150,000 a month. 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.
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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 optimisation. 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 framework to ensure reliable platform delivery. 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 and thriving in ambiguous environments. CI&T | Senior Data Engineer 2
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. Salary: ₱120,000 - ₱150,000 a month. 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.
#J-18808-Ljbffr