To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days,……
You will design, develop and operate a data platform and data pipelines which serve Domain’s products and internal data teams like data product, data science,……
You will design, develop and operate a data platform and data pipelines which serve Domain’s products and internal data teams like data product, data science,……
Troubleshoot and resolve data-related issues and provide ongoing support to analytics and business teams. Collaborate with data scientists, analysts, and other……
Engineering data is a strategic asset that powers software delivery, operational resilience, technology risk management, service health, security automation and……
Access to employee discounts and benefits. We are seeking an experienced Senior Data Engineer to play a key role in the design, development and ongoing……
You have experience designing, building, and maintaining ETL/ELT data pipelines and data integration processes within enterprise data platforms or cloud data……
2 days of paid volunteer leave and donation matching. Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon……
Experience working with financial, registry, or market data. Build smart systems – develop models for anomaly detection, forecasting, and data quality……
Understanding of data modelling concepts, data warehousing principles and modern data platform architectures. You’ll ensure the platform is reliable, scalable,……
An in-depth understanding of large-scale data sets, including both structured and unstructured data. A strong understanding of data modelling, data structures,……
Experience with data engineering and pipelines (SQL, ETL/ELT, distributed systems) to handle large datasets and unstructured data, data cleaning, and……
Design and implement scalable data pipelines that extract, load, and transform data from various product systems into the master data warehouse.…
Supporting platform administration, performance monitoring and troubleshooting activities. Exposure to Azure data platforms and cloud-based data solutions.…
Keep the PLM environment current and engineers unblocked. Manage secure data sharing with external partners. Familiarity with cloud-native or SaaS PLM platforms……
Before starting work with us, you will need to undertake a national police history check and reference checks. Why are we hiring for this role?…
Whether your background perfectly matches this description or not, we value diverse perspectives, curiosity, and collaboration above all else, and we encourage……
Translate large, disparate data sources and implement modern data architecture practices. 7+ years experience in data management, data modelling, data……
To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days,……
Min 2 end to end data lake project delivery experience. Min 2 years of Cloud experience – preferable on Azure. Preferable: Scala, Hbase, Java, Shell scripting.…
Collaborate with data engineers to develop robust and reusable data models. Exposure to Databricks or cloud-based data platforms is advantageous.…
Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB). Design scalable data ecosystems using data mesh, data……
Building cloud-native data solutions within AWS data platforms. We are currently seeking experienced Data Engineers (Mid-Level and Senior) to join our growing……
Thrive in an innovative, collaborative people culture
We support flexibility and choice including flexible work arrangements and part-time options
Reimbursements for professional development and subsidised qualifications
We’re looking for a Senior Platform Engineer to help design, build, and evolve a secure, scalable, and modern data platform that powers enterprise analytics, reporting, and data products. This role is ideal for someone who enjoys combining platform engineering, cloud, automation, and modern AI-enabled ways of working to help data teams deliver faster, more reliably, and at scale.
What will your typical day look like?
You’ll play a key role in shaping a platform that enables Data Engineering, Analytics, and Data Science teams across the organisation. You’ll work on meaningful enterprise-scale problems, help define modern engineering practices, and contribute to a platform strategy that includes automation, observability, and AI-augmented engineering.
What you’ll do
Lead the design and continual enhancement of enterprise data platform capabilities across ingestion, transformation, analytics, and consumption layers
Develop and enhance reusable platform services that support self-service data engineering and analytics capabilities
Establish and maintain cloud-native platform patterns, environment standards, and Infrastructure as Code practices
Drive CI/CD, automation, and engineering workflows across data pipelines and platform components
Strengthen platform reliability through enhanced observability, monitoring, alerting, and operational excellence practices
Embed AI-enabled engineering practices to improve development velocity, troubleshooting effectiveness, testing quality, and platform optimisation
Collaborate closely with Data Engineering, Analytics, and Data Science teams to deliver secure, scalable, and sustainable platform outcomes
Partner with Infrastructure, DevOps, and administration teams to enable secure, scalable, and operationally resilient platform capabilities
Evaluate emerging technologies, lead proof-of-concepts, and enable adoption where strategically aligned
Enough about us, let’s talk about you.
Demonstrated experience in platform engineering, data engineering, or cloud engineering roles within enterprise-scale environments
Strong knowledge of modern data platforms and tooling, including Azure Databricks, Snowflake, Synapse, Fabric, and dbt
Strong knowledge of integration and orchestration tooling, including Azure Data Factory, Apache Airflow, Kafka, event-driven integration patterns, and API enablement platforms
Hands-on experience with platform engineering and automation tooling, including Terraform, Bicep, and related cloud enablement frameworks
Experience with CI/CD and engineering workflows using tools such as Azure DevOps, GitHub, and related delivery pipelines
Strong scripting and programming capability across Python, Bash, or PowerShell
Experience with observability, monitoring, and operational support across data and platform environments
Exposure to AI-enabled engineering tools, or a strong interest in applying AI to development, testing, troubleshooting, and platform operations
Strong problem-solving capability, systems thinking, and sound judgement across technical and business contexts
Well-developed stakeholder engagement, communication, and collaboration skills, with the ability to influence outcomes across cross-functional teams
A relevant tertiary qualification in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience
Why Deloitte?
At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
We support flexibility and choice. We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs.
We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.
The minimum salary is $62K and the max salary is $73K.
$62K – $73K/yr (Glassdoor Est.)
$67K
/yr Median
Sydney
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