APS6 Data Engineer

Talent Corp; City of Yarra; On-site; AUD 96,000 - 165,000; Full time

Job summary

Talent Corp in Australia is seeking an experienced Senior Data Engineer to support and maintain enterprise data assets across cloud and enterprise data warehouse environments within a large Federal Government program. You will focus on operational data delivery, data pipelines, month-end processing and ensuring the stability and quality of critical data services.

Working with business and technical teams, you will develop, maintain and optimise data pipelines, ETL processes and analytical code,

Qualifications

• Experience delivering enterprise data warehouse and data integration solutions.
• Strong SQL development, tuning and code reviews.
• Proficiency with multiple cloud/EDW platforms.
• Ability to translate business requirements into technical data assets.
• DevOps experience and version control practices.
• Excellent communication and stakeholder engagement.
• Australian citizenship and NV1 AGSVA clearance.

Responsibilities

• Develop, maintain and optimise enterprise data pipelines and ETL processes.
• Develop SQL analytical and ETL code supporting enterprise reporting and analytics.
• Tune and optimise SQL code to improve performance and efficiency.
• Support daily data delivery and month-end processing.
• Translate business requirements into technical solutions and data assets.
• Lead implementation from analysis through deployment.
• Review code, data models, and technical designs.
• Maintain data dictionaries and implementation artefacts.
• Collaborate with stakeholders, developers, testers and support teams.
• Support backlog prioritisation and continuous improvement.
• Support knowledge transfer and capability uplift.

Skills

SQL development

Data pipelines

Stakeholder engagement

DevOps practices

Tools

MS SQL

Teradata

Snowflake

Redshift

Databricks

Python

SAS

R

Java

Job description

We are seeking an experienced Senior Data Engineer to support and maintain enterprise data assets across cloud and enterprise data warehouse environments within a large Federal Government program.

This role will focus on operational data delivery, maintaining and improving data pipelines, month-end processing and ensuring the stability and quality of business-critical data services.

• Initial 12-month contract with a further 12-month extension option
• Open market hourly rates
• Locations available in Melbourne, Sydney or Canberra

The opportunity

Working closely with business and technical teams, you will develop, maintain and optimise enterprise data pipelines, ETL processes and analytical code. You will lead technical activities from requirements analysis through to deployment and ongoing operational support.

Key responsibilities

• Develop, maintain and optimise enterprise data pipelines and ETL processes
• Develop SQL analytical and ETL code supporting enterprise reporting and analytics
• Tune and optimise SQL code to improve performance and efficiency
• Support daily data delivery, month-end processing and data-related requests
• Translate business requirements into technical solutions and data assets
• Lead technical implementation activities from analysis through to deployment
• Conduct peer reviews of code, data models and technical designs
• Maintain technical documentation, data dictionaries and implementation artefacts
• Collaborate with business stakeholders, developers, testers and support teams
• Contribute to backlog prioritisation, delivery planning and continuous improvement
• Support knowledge transfer and capability uplift across the team

About you

• Australian Citizenship is mandatory to work for this federal government body
• Current NV1 AGSVA Clearance
• Demonstrated experience developing and supporting enterprise data warehouse and data integration solutions
• Strong SQL development, optimisation, tuning and code review experience
• Technical capability across at least two of MS SQL, Teradata, Snowflake, Redshift or Databricks
• Programming experience using SQL and languages such as Python, SAS, R or Java
• Ability to interpret and apply data models, technical specifications and solution designs
• Experience working within DevOps environments, including version control and software delivery practices
• Strong communication and stakeholder engagement skills

Experience with AWS data technologies such as S3 and Glue, metadata-driven development frameworks, SAS, enterprise reporting platforms or Agile delivery environments will be highly regarded.