- Design, develop, and maintain scalable data pipelines for ETL processes within cloud environments.
- Modernise and re-shape the way the organisation's month-end and wider Financial Reporting is carried out
- Oversee Azure Cloud infrastructure and services including: Data Factory, Data Lake, Synapse, Databricks, Apache Spark.
- Integrate a wide range of disparate source systems and databases to the centralised Azure data lake.
- Collaborate with internal business stakeholders to understand different systems (ERP, CRM etc.) and the organisational data uses to build a high-quality data lake.
- Consult with internal colleagues to understand business logic
- Support future Advanced Analytics and Machine Learning projects.
- Promote the utilisation and understanding of Master/Metadata while driving its development.
- Lead best practice in data handling and storage methods.
- Experience working on Finance Reporting Transformations, Projects or Solutions
- Experience working commercially with Cloud Technology (AWS, GCP or Azure) and on-prem data warehouses
- ETL, data migration and/or integration experience (SSIS, stored procs., ADF etc.)
- Master data concepts and tool understanding
- Experience with data architecture concepts and dimensional data modelling concepts
- Python and SQL experience
- Ability to seek solutions and passion for learning new technologies
- Bonus: CI/CD, Power BI, Bicep and/or ML concepts
- Competitive compensation package
- Opportunities for professional development and advancement including training
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools and opportunity to explore and implement more of these
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Data Engineer - Melbourne, Australia - Launch Recruitment
Description
About the Company
The Client is a multinational with multiple global and APAC-based entities under its umbrella. They are forming a new Data & Analytics Team to help centralise their data to enable their APAC organisation to become more data-driven in their decision-making.
About the Role
As a Data Engineer, you will play a pivotal role in centralising the organisation's APAC data from disparate systems to a Cloud Data Lake before moving on to working Advanced Analytics solutions. Leveraging your experience in Finance Reporting/Solutions, Master Data, Cloud and ETL, you will initially establish a high-quality data lake to improve Reporting solutions across the business. Once those initial building blocks are in place, the organisation will then start Advanced Analytics and Data Science projects. Long-term, you will be empowered to help define the Data Roadmap and will be encouraged to explore and suggest new technologies to expand Data capabilities.
Duties
Skills & Experience
Company Culture
The organisation is proud of their culture and are excited to be investing in a new Data and Analytics function to increase innovation. The team is made up of diverse professionals from a variety of backgrounds and the company culture promotes strong tenure across the organisation.
Benefits
How to Apply
If you are a forward-thinking Data Engineer with a passion for driving data-driven solutions, please apply and suitable candidates will be contacted for a further conversation.