We are seeking a Senior Data 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

• Contribute to technical engagements and proactively identify opportunities to expand CI&T’s business with clients.
• Collaborate on multiple projects across various domains, providing diverse subject matter expertise.
• Participate in technical design and architecture discussions to ensure robust solutions.
• Ensure adherence to security and performance best practices in all solutions.
• Create and maintain technical documentation required by clients.
• Communicate effectively with customer team members to ensure alignment and clarity of technical solutions.
• Understand client requirements and develop viable technical solutions by selecting appropriate frameworks.
• Guarantee a stable and productive development environment for all team members.

Knowledge and Experience

• 6+ years of experience in the software development area;
• Proven expertise in Data Warehousing and Data Analytics projects, encompassing data acquisition, transformation, and data science initiatives.
• Exposure with modern data file formats such as Delta Tables, Apache Iceberg, and Parquet.
• Proficiency in Python, Spark, DBT, and other data transformation tools and frameworks.
• Expertise in data modelling, with familiarity in conceptual, logical, and physical data models, following methodologies like Data Vault 2.0 and Dimensional Modelling.
• Experience with cloud data services such as Microsoft Intelligent Data Platform, AWS Data Services, or Google Cloud Data Analytics.
• Hands-on experience with cloud data platforms like Databricks and/or Snowflake; certifications.
• Skilled in data pipeline orchestration tools, including Azure Data Factory, AWS Glue, Apache Airflow, or Prefect.
• Experience with CI/CD and MLOps pipelines to streamline development and deployment processes.
• Proficient in Infrastructure as Code (IaC) for efficient infrastructure management.
• Expertise in data migration, performance tuning, and optimisation of databases and SQL queries queries.
• Understanding of Data Governance and Data Management concepts.
• Understanding of design patterns, clean architecture, and clean coding principles.
• Familiarity with unit, integration, and E2E testing.

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.
• 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.

CI&T is a 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.