Title: Data Engineer
Location: Melbourne
At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by constantly looking for ways to improve our customers’ financial wellbeing so they can achieve incredible things – be it buying their home, building a business or saving for things big or small.
As a Data Engineer, within Wholesales Digital, Institutional Data Analytics, you will be comfortable being hands-on, as well as a coach to the team. The role exists within a fast-moving insights team working on building a data-driven digital channel.
The Data Engineer will also work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources, participating in the design, and providing insights and guidance on database technology and data modelling best practices.
What will your day look like
Following Agile methodology to manage and deliver data and insights product iteratively.
Analyse problems and customer needs from an end-to-end perspective and come up with designs and solutions to solve these problems.
Data wrangling for specific business use-cases
Perform Data Profiling, Statistical Analysis and Hypothesis Testing
Building scripts for large scale data processing on Hadoop with Hive, Pig, Spark (Scala) and Hue
Building automated data validation and data quality measurement framework
What will you bring?
We know not everyone will bring all of the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. Some of the skills we are looking for are below, but don’t worry if you don’t have all of these as learning on the job is the way we work. But back to some of the skills;
Between 3 and 5 years’ experience in full stack development with .NET, C#, Python and ReactJS on Google Cloud Platform
Hands on expertise in creating and deploying cloud infrastructure with Terraform and Kubernetes
Analytical and Modelling ability using Python and SQL
Expertise in building ELT pipelines with C# .NET and BigQuery
Building the Monitoring and Alerting Splunk Dashboards.
Maintaining and developing CI/CD pipelines based on Gitlab.
Ability to program and configure toolsets like Control-M, IBM DataStage, Google Cloud Dataflow and Airflow
Experience with log mining and observability tools like Splunk and Dynatrace.
So, why join us?
At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.
We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.
A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.
We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you and any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.anz.com/careers. You may apply for this role by visiting ANZ Careers and search for reference number: 56390
Location: Melbourne
At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by constantly looking for ways to improve our customers’ financial wellbeing so they can achieve incredible things – be it buying their home, building a business or saving for things big or small.
As a Data Engineer, within Wholesales Digital, Institutional Data Analytics, you will be comfortable being hands-on, as well as a coach to the team. The role exists within a fast-moving insights team working on building a data-driven digital channel.
The Data Engineer will also work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources, participating in the design, and providing insights and guidance on database technology and data modelling best practices.
What will your day look like
Following Agile methodology to manage and deliver data and insights product iteratively.
Analyse problems and customer needs from an end-to-end perspective and come up with designs and solutions to solve these problems.
Data wrangling for specific business use-cases
Perform Data Profiling, Statistical Analysis and Hypothesis Testing
Building scripts for large scale data processing on Hadoop with Hive, Pig, Spark (Scala) and Hue
Building automated data validation and data quality measurement framework
What will you bring?
We know not everyone will bring all of the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. Some of the skills we are looking for are below, but don’t worry if you don’t have all of these as learning on the job is the way we work. But back to some of the skills;
Between 3 and 5 years’ experience in full stack development with .NET, C#, Python and ReactJS on Google Cloud Platform
Hands on expertise in creating and deploying cloud infrastructure with Terraform and Kubernetes
Analytical and Modelling ability using Python and SQL
Expertise in building ELT pipelines with C# .NET and BigQuery
Building the Monitoring and Alerting Splunk Dashboards.
Maintaining and developing CI/CD pipelines based on Gitlab.
Ability to program and configure toolsets like Control-M, IBM DataStage, Google Cloud Dataflow and Airflow
Experience with log mining and observability tools like Splunk and Dynatrace.
So, why join us?
At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.
We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.
A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.
We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you and any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.anz.com/careers. You may apply for this role by visiting ANZ Careers and search for reference number: 56390
