Data DevOps Engineer

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.

CI&T | Senior Data Engineer 1

● 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.

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.