Expression Of Interest – Project Engineer I Data Centre

Cpb; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Salary packaging

Parental leave

Udemy access

Well-being allowance

Career development

Job summary

CPB is seeking a Lead Data Engineer in Sydney to design, build and operate reliable data platforms supporting AI, automation and Modern Workplace initiatives. You will translate business requirements into secure, scalable data solutions and collaborate with product, engineering and business teams.

You will work across the data lifecycle, employing Python and SQL with Databricks, Snowflake or Microsoft Fabric, and provide technical guidance while improving engineering practices.

Qualifications

• Hands-on experience delivering production data solutions using Databricks, Snowflake or Microsoft Fabric.
• Strong programming skills in Python and SQL.
• Experience designing, developing and operating data pipelines, including ETL/ELT processes, orchestration and monitoring.
• Understanding of data architecture and modelling techniques, including analytical and dimensional modelling.
• Experience integrating data through APIs and implementing RBAC and data security best practices.

Responsibilities

• Design, build and maintain data pipelines to ingest, transform and deliver data from a range of sources, including APIs.
• Develop solutions using Databricks, Snowflake or Microsoft Fabric, selecting approaches that suit the client’s requirements and existing environment.
• Contribute to data architecture and solution design, including data storage, integration and modelling.
• Develop data models, ontologies and semantic layers for consistent business definitions and analytics.
• Implement pipeline orchestration, scheduling, monitoring and operational support.
• Troubleshoot data and pipeline issues, improving performance, scalability and cost efficiency.
• Apply data quality controls, automated testing and validation.
• Implement RBAC and security best practices for data platforms and integrations.
• Apply DevOps practices to data engineering, including version control and CI/CD.
• Build data visualisations and reports for business users.
• Document solutions and share knowledge for maintainable delivery.

Skills

Databricks

Snowflake

Microsoft Fabric

Python

SQL

CI/CD

RBAC

Tools

PostgreSQL

SQL Server

Google BigQuery

Amazon Redshift

Job description

Expression Of Interest Project Engineer I – Data Centre

Location: Sydney

About the role

In this role, you will design, build and maintain reliable data pipelines, datasets and integration solutions that support AI, intelligent automation and Modern Workplace initiatives. Working closely with product, engineering and business teams, you will create secure, governed and reusable data foundations that enable scalable technology outcomes.

Responsibilities

You will;

• Design, build and maintain reliable data pipelines, datasets and integration solutions.
• Manage data ingestion, transformation, validation, enrichment and controlled access.
• Develop data solutions that support AI, Copilot, analytics and intelligent automation use cases.
• Collaborate with Product Owners, developers, solution engineers and business stakeholders to understand data requirements.
• Implement appropriate data quality, governance, metadata, lineage, privacy and security practices.
• Integrate data pipelines with applications, APIs, Power Platform and automation services.
• Monitor data services and investigate performance, quality and production issues.
• Maintain technical documentation, operational procedures, alerts and support runbooks.
• Identify opportunities to automate, standardise and improve data engineering practices.

About You

You are a skilled Data Engineer who enjoys solving complex problems and creating reliable, scalable data solutions. You bring strong technical capability, sound judgement and the ability to work collaboratively across business, product and technology teams.

You will bring:

• Demonstrated experience in data engineering, data integration, analytics engineering or enterprise data delivery.
• Experience designing and supporting data pipelines, transformations, datasets and controlled access solutions.
• Strong knowledge of data engineering, data modelling, database and warehouse design, systems integration and data quality.
• Practical experience with Microsoft Azure data services, SQL, databases, APIs and programming or scripting.
• Understanding of ETL/ELT concepts, automated testing, source control, CI/CD and DevOps practices.
• Knowledge of data governance, privacy, security, access control, metadata and lineage.
• Strong problem‑solving, documentation, communication and stakeholder engagement skills.
• Experience supporting AI, automation, analytics or enterprise applications will be highly regarded

This opportunity will provide:

• Salary packaging and novated leasing options for eligible employees.
• Company paid parental leave for eligible employees.
• Access to fitness passport.
• Access to Udemy an online training platform with over 5,500 courses.
• Professional development and career progression.
• Experience working with an Iconic Australian Brand with global success in NZ, Asia, and Europe.
• A supportive team environment that celebrates diversity and promotes a healthy work and family life balance.
• Opportunities to make discounted purchases on a great range of products and services.

Please note that only people with the right to work in Australia should apply for this position.

Technology is our how, and people are our why. For 20-plus years we have paired world‑class engineering with deep industry insight, helping global brands create intelligent digital experiences that drive meaningful change. Join us as we expand our Australian Data & AI capability and help clients unlock the full value of their data assets.

Job Description

We’re looking for a Lead Data Engineer to help our clients design, build and operate reliable data platforms that turn complex data into useful business insights.

You’ll work across the data lifecycle, from architecture and source integration through to data pipelines, semantic models, visualisation and reporting. You’ll bring strong engineering skills in Python and SQL, alongside hands‑on experience with at least one of Databricks, Snowflake or Microsoft Fabric.

Working closely with clients, analysts, data scientists and fellow engineers, you’ll translate business requirements into secure, maintainable and scalable data solutions. You’ll also provide technical guidance, contribute to design decisions and help the team strengthen its engineering practices.

What you’ll do

• Design, build and maintain data pipelines to ingest, transform and deliver data from a range of sources, including APIs.
• Develop solutions using Databricks, Snowflake or Microsoft Fabric, selecting approaches that suit the client’s requirements and existing environment.
• Contribute to data architecture and solution design, including data storage, integration and modelling.
• Develop data models, ontologies and semantic layers that establish consistent business definitions and support analytics and reporting.
• Implement pipeline orchestration, scheduling, monitoring and operational support to keep data services reliable.
• Troubleshoot data and pipeline issues, improving performance, scalability and cost efficiency.
• Apply data quality controls, automated testing and validation throughout the data lifecycle.
• Implement role‑based access control and follow security best practices for data platforms and integrations.
• Apply DevOps practices to data engineering, including version control, repository management, CI/CD and automated deployment.
• Build data visualisations and reports that make information clear and useful to business users.
• Document solutions, review code and share knowledge to support maintainable delivery and continuous improvement.

Qualifications

What you’ll bring

• Hands‑on experience delivering production data solutions using one or more of Databricks, Snowflake or Microsoft Fabric.
• Strong programming skills in Python and SQL.
• Experience designing, developing and operating data pipelines, including ETL/ELT processes, orchestration and monitoring.
• A sound understanding of data architecture and modelling techniques, including analytical and dimensional modelling.
• An understanding of ontologies and semantic modelling, and how they connect data structures to business concepts.
• Practical experience optimising data processing and troubleshooting pipeline, query and platform performance.
• Experience integrating data through APIs, including authentication, error handling and reliable data exchange.
• Experience applying role‑based access control (RBAC) and data security best practices.
• Experience using Git, maintaining repositories, writing automated tests and building CI/CD workflows for data solutions.
• Experience developing data visualisations and reports.
• The ability to explain technical choices clearly, work collaboratively with business and technical stakeholders, and guide other engineers.

Useful additional experience

• PostgreSQL, SQL Server, Google BigQuery or Amazon Redshift.
• R or other programming languages.
• Relevant cloud services across Microsoft Azure, AWS or Google Cloud.
• Relevant certifications in Databricks, Snowflake or Microsoft Fabric.

Additional Information

• Flexible, hybrid working – 20 “work from anywhere” days per year on top of our hybrid policy.
• Global career pathways and non‑linear progression; move between domains, disciplines or geographies.
• Continuous learning via certifications, internal academies, tech communities and funded conferences.
• Well‑being & lifestyle allowance, loyalty leave, inclusive parental leave and employee assistance programmes.
• A vibrant, inclusive culture where diverse perspectives power innovation.

An equal‑opportunity employer; we welcome applications from all backgrounds. We value diversity and commit to transparent, merit‑based hiring.