Job Description
Full time role with a hybrid working model
Join a high performing, collaborative and friendly team
Located in the heart of Sydney's CBD (Martin Place)
The Law Society of NSW is Australia's largest and most influential membership association for solicitors. We're not all lawyers, but we work together to support the legal profession and ensure a just society for all.
We are currently looking for a Data Integration Developer (Azure & AI Solutions) to join our Information Management team.
About the role
Leveraging technologies such as Azure Data Factory, Logic Apps, Azure Data Lake, SQL, and Databricks, the Data Integration Developer (Azure & AI Solutions) will play a key role in designing, developing, and maintaining data pipelines and integrations that enable informed decision-making and advance the organisation’s strategic objectives.
What you'll be doing
Design, build, and maintain scalable and secure data integration solutions using Azure Data Factory, Logic Apps, Azure Data Lake, and Databricks.
Develop and optimise data pipelines for ingestion, transformation, and distribution of structured and unstructured data from various internal and external sources.
Implement best practices for data architecture, ETL/ELT design, and data governance.
Integrate AI capabilities (e.g., cognitive services, machine learning models, automation tools) to support intelligent workflows and enhance operational efficiency.
Monitor and troubleshoot data integration processes to ensure high data quality and availability.
Work closely with other teams to understand data requirements and ensure the proper integration of disparate systems
Provide technical support and troubleshooting for data integration processes, ensuring smooth and accurate data transfer and processing
Ensure high-quality, reliable data integration by implementing robust validation, monitoring, and error handling strategies
Work in accordance with the organisation's data governance policies and ensure compliance with data security and privacy standards
Collaborate with cross-functional teams to gather data requirements and translate them into technical specifications
Provide documentation of data processes, integration workflows, and system configurations for future reference and team use
Evaluate new technologies and tools in the Azure ecosystem and recommend improvements or enhancements to existing systems
Continuously optimise data integration processes to improve performance, scalability, and cost-efficiency
Define the Data and Data Integration strategy by focusing on business decision automation through quality information, and developing a single source of information truth for all business users
Administer and apply data-fixes to both internally and externally developed business-critical systems
Troubleshoot and correct issues on various application databases such as Azure SQL and Oracle
Identify potential faults within the Data Integrations and Data Warehouse and take a proactive approach to address the issue
Pro-actively engage with various business stakeholders to encourage adoption and automation using the Information Management services
Collaborate with data engineers, analysts, business units, and stakeholders to understand data requirements and deliver effective solutions.
Provide technical guidance and mentoring to other developers and team members
Document system processes, configurations, and best practices
Ensure clear processes are in place for new request management
Collaborate with Boomi developers to build, support, and optimise integrations and data flows
Assist in troubleshooting and resolving issues related to Boomi integrations and workflows
Ensure seamless integration between Boomi-based and Azure-based systems, facilitating smooth data exchange and management
Collaborate with cross-functional teams and assist other developers with development, support and maintenance of our Oracle platforms
Report on task/project progress to manager and IT reporting as required
Focus on improving / maintaining the perception of IT within the business
Providing training to staff (both internally and externally) on IT IM Services
Ensuring all policies, procedures and processes are followed at all times
Maintain all documentation for continual use and ease of new staff joining the team
Standardise and highlight improvements to services
About you
5+ years providing support to both internally and externally developed business-critical production
5+ years of proven experience with Azure Data Factory, Logic Apps, Azure Data Lake, and Azure SQL
3+ years designing and developing Data Integration and Data Warehouse solutions including ETL/ELT design and data modelling
2+ years of hands-on experience in Oracle PL/SQL and database management
2+ years of hands-on experience in AI and machine learning concepts and how they can be integrated into business processes
2+ years of hands-on experience with Databricks
1+ hands-on experience in Python, or Scala for data transformation and pipeline development
1+ years of hands-on experience with Boomi integration and flow development
1+ years of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals
Strong proficiency in Azure Data Factory for building and managing data pipelines
Strong problem-solving skills and a proactive approach to innovation and automation
Experience in implementing data security, privacy, and compliance controls in cloud environments
Strong knowledge of SQL and data modelling
Familiarity with scripting languages (e.g., Python, PowerShell) and other integration tools
Fundamental database administration skills (Azure SQL, Oracle DB, MySQL)
Understanding of various Datawarehouse methodologies such as Data Vault and Kimball
Experience with big data solutions, real-time data streaming, or machine learning pipelines
Strong data analysis, discovery and problem-solving skills
Strong communication skills, both verbal and written
Time Management skills
Self-motivated with a passion for learning and adopting new technologies
Attention to detail.
Preferred Qualifications:
Certification in Microsoft Azure (e.g., Azure Data Engineer Associate, Azure Solutions Architect Associate)
Certification in Databricks or AI/ML platforms is a plus
Certification in Oracle Database
Certification in Boomi
Tertiary qualifications in Information Systems, Computing Science or similar
To apply
The Law Society of New South Wales is committed to building and maintaining a respectful and inclusive workplace, appointing the best person for the role and supporting diversity.
Applications should contain a CV and cover letter that outlines your key experience and motivations for this role.
Join a high performing, collaborative and friendly team
Located in the heart of Sydney's CBD (Martin Place)
The Law Society of NSW is Australia's largest and most influential membership association for solicitors. We're not all lawyers, but we work together to support the legal profession and ensure a just society for all.
We are currently looking for a Data Integration Developer (Azure & AI Solutions) to join our Information Management team.
About the role
Leveraging technologies such as Azure Data Factory, Logic Apps, Azure Data Lake, SQL, and Databricks, the Data Integration Developer (Azure & AI Solutions) will play a key role in designing, developing, and maintaining data pipelines and integrations that enable informed decision-making and advance the organisation’s strategic objectives.
What you'll be doing
Design, build, and maintain scalable and secure data integration solutions using Azure Data Factory, Logic Apps, Azure Data Lake, and Databricks.
Develop and optimise data pipelines for ingestion, transformation, and distribution of structured and unstructured data from various internal and external sources.
Implement best practices for data architecture, ETL/ELT design, and data governance.
Integrate AI capabilities (e.g., cognitive services, machine learning models, automation tools) to support intelligent workflows and enhance operational efficiency.
Monitor and troubleshoot data integration processes to ensure high data quality and availability.
Work closely with other teams to understand data requirements and ensure the proper integration of disparate systems
Provide technical support and troubleshooting for data integration processes, ensuring smooth and accurate data transfer and processing
Ensure high-quality, reliable data integration by implementing robust validation, monitoring, and error handling strategies
Work in accordance with the organisation's data governance policies and ensure compliance with data security and privacy standards
Collaborate with cross-functional teams to gather data requirements and translate them into technical specifications
Provide documentation of data processes, integration workflows, and system configurations for future reference and team use
Evaluate new technologies and tools in the Azure ecosystem and recommend improvements or enhancements to existing systems
Continuously optimise data integration processes to improve performance, scalability, and cost-efficiency
Define the Data and Data Integration strategy by focusing on business decision automation through quality information, and developing a single source of information truth for all business users
Administer and apply data-fixes to both internally and externally developed business-critical systems
Troubleshoot and correct issues on various application databases such as Azure SQL and Oracle
Identify potential faults within the Data Integrations and Data Warehouse and take a proactive approach to address the issue
Pro-actively engage with various business stakeholders to encourage adoption and automation using the Information Management services
Collaborate with data engineers, analysts, business units, and stakeholders to understand data requirements and deliver effective solutions.
Provide technical guidance and mentoring to other developers and team members
Document system processes, configurations, and best practices
Ensure clear processes are in place for new request management
Collaborate with Boomi developers to build, support, and optimise integrations and data flows
Assist in troubleshooting and resolving issues related to Boomi integrations and workflows
Ensure seamless integration between Boomi-based and Azure-based systems, facilitating smooth data exchange and management
Collaborate with cross-functional teams and assist other developers with development, support and maintenance of our Oracle platforms
Report on task/project progress to manager and IT reporting as required
Focus on improving / maintaining the perception of IT within the business
Providing training to staff (both internally and externally) on IT IM Services
Ensuring all policies, procedures and processes are followed at all times
Maintain all documentation for continual use and ease of new staff joining the team
Standardise and highlight improvements to services
About you
5+ years providing support to both internally and externally developed business-critical production
5+ years of proven experience with Azure Data Factory, Logic Apps, Azure Data Lake, and Azure SQL
3+ years designing and developing Data Integration and Data Warehouse solutions including ETL/ELT design and data modelling
2+ years of hands-on experience in Oracle PL/SQL and database management
2+ years of hands-on experience in AI and machine learning concepts and how they can be integrated into business processes
2+ years of hands-on experience with Databricks
1+ hands-on experience in Python, or Scala for data transformation and pipeline development
1+ years of hands-on experience with Boomi integration and flow development
1+ years of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals
Strong proficiency in Azure Data Factory for building and managing data pipelines
Strong problem-solving skills and a proactive approach to innovation and automation
Experience in implementing data security, privacy, and compliance controls in cloud environments
Strong knowledge of SQL and data modelling
Familiarity with scripting languages (e.g., Python, PowerShell) and other integration tools
Fundamental database administration skills (Azure SQL, Oracle DB, MySQL)
Understanding of various Datawarehouse methodologies such as Data Vault and Kimball
Experience with big data solutions, real-time data streaming, or machine learning pipelines
Strong data analysis, discovery and problem-solving skills
Strong communication skills, both verbal and written
Time Management skills
Self-motivated with a passion for learning and adopting new technologies
Attention to detail.
Preferred Qualifications:
Certification in Microsoft Azure (e.g., Azure Data Engineer Associate, Azure Solutions Architect Associate)
Certification in Databricks or AI/ML platforms is a plus
Certification in Oracle Database
Certification in Boomi
Tertiary qualifications in Information Systems, Computing Science or similar
To apply
The Law Society of New South Wales is committed to building and maintaining a respectful and inclusive workplace, appointing the best person for the role and supporting diversity.
Applications should contain a CV and cover letter that outlines your key experience and motivations for this role.
💡 Quick Summary
Seeking a career-building opportunity? The Data Integration Developer (Azure & AI Solutions) position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Sydney offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
