All applications are being managed by Bradley Lucas at Hays Recruitment - Bradley.Lucas@hays.com.au
The Data Engineer will contribute to Adelaide Airport’s Data and Business Intelligence (D&BI) capability focussing on data ingestion, transformation, integration & modelling. The D&BI team is a small and highly effective group that will provide real insights into the AAL business and help to transform our business into a data driven company.
Business
* Identify data stewardship and integration requirements.
* Identify opportunities for D&BI to drive business growth, improve operational efficiency, grow revenue and gain competitive advantage.
* Identify where D&BI can support analysis and reporting of company key performance indicators (KPIs) and related business metrics.
* Research and review emerging technologies to ensure that AAL remains abreast of contemporary thinking on D&BI technologies, infrastructure, systems and services.
* Discuss, inform and present on relevant D&BI to internal and external stakeholders.
* Participate at relevant forums to ensure that Adelaide Airport is at the forefront of contemporary industry thinking and practices.
Team
* Contribute to the D&BI team as a key enabling business partner that facilitates data solutions for internal and external customers.
* Effective Collaboration with teams and business stakeholders to:
* raise awareness of the availability and benefits of AAL’s data and business intelligence services.
* grow the company’s data and business intelligence maturity to maximise the benefits from its data and business intelligence platform.
* Proactively plan for growth and changes in infrastructure, systems or services to ensure they can satisfy business needs and service expectations.
* Foster a collaborative, can-do team mindset that positively contributes to the whole Secure IT team culture.
* Identify opportunities to grow, develop and advance skills and capabilities.
- Embed Customer Service in attitudes and actions;
- Contribute to a safe, healthy and discrimination free workplace;
- Comply with the WHS Responsibility Guidelines;
- Comply with the Environmental Responsibility Procedure;
* Live the AAL Values
A Be ACCOUNTABLE and AUTHENTIC
I Conduct ourselves with INTEGRITY
R Be RESPONSIVE, efficient and RESPECTFUL
P Take PRIDE in our achievements
O Be OPEN and friendly and encourage diversity
R Build RELATIONSHIPS based on trust
T Foster great TEAMS
Qualifications
* Bachelor's or master's degree in computer science, data science or related fields
* Minimum of 5 years of industry experience in Data Engineering including ETL/ELT design and implementation
Experience
Essential
* Experience in data engineering, integration, ETL and data modelling
* Proficiency with Azure technologies: Azure Data Factory, ADLSg2, Azure Synapse
* Previous experience developing metadata driven pipelines in Azure Data Factory.
* Strong SQL skills and experience with data warehousing concepts including dimensional modelling.
* Technical competency with SQL, Python, ETL, API’s
* Familiarity with traditional Microsoft SQL Server Business Intelligence toolset
Desirable
* Microsoft Power BI / Microsoft Fabric
* Azure Databricks
* Azure DevOps/Git for Version Control and Deployment
* Relevant certifications (e.g., Microsoft Azure Data Engineer) are advantageous.