Hello. We’re Velocity Frequent Flyer. And we’re back (in a big way).

With a year of ups and downs behind us all, we’re now ramping things up. Looking for new, come-as-you-are team members to join our fast-growing squad, responsible for rebuilding Virgin Australia’s loyalty program, currently 10 million members strong, and counting. That’s half of Australia!

If successful, you’ll be able to brag your heart out that millions of Australians have you and your team to thank for stacking up their Points and making getting back up in the air even more exciting.

What you’ll be doing :

The Leader Data Engineer, will support DE in planning, designing, building and managing scalable processes and infrastructure to support Torque Data Science (TDS) team.  This will involve review of current SAS based data and analytical processes (eg. datamart builds, dashboarding, reporting, predictive modelling etc.); identification of opportunities to simplify, improve, automate and scale-up; contribution to migration of key processes to AWS; and building new engineering capabilities related to building Machine Learning and Artificial Intelligence based data solutions, to help Velocity become a more personalized loyalty program.

The ideal candidate will have a solid education in highly technical areas (STEM), good communication skills, strong interest in technology, a strong data development (ETL processes) background, strong experience in SAS and SQL programming, some experience of building python-based analytical processes on Hadoop/Spark ecosystem in AWS, a good understanding of analytics, and good experience in technical documentation.  He/she will have an iterative/agile and collaborative approach to problem solving ie. requirements understanding and agreement; solution planning and designing; solution development, testing and delivery, and finally solution agreement.  He/she will be a key addition to the growing Data Engineering team, in making the Velocity Loyalty Program truly data driven :

• Work closely with DE and PM, to review data and analytical processes to understand opportunities to improve and simplify ;
• Work closely with direct manager, to build simplified, efficient and robust data and analytics processes to enable quicker delivery of higher quality insights and models ;
• Work closely with direct manager, PM and other DS leaders to integrate new technologies such as DataRobot into current DS operations ;
• Work closely with DE Leader, PM to plan migration of DS analytics processes to AWS ;
• Work closely with DS team to set up data processes to enable “new” exploratory work requiring data extracts from non-standard datasets (eg. web scraping, clickstream etc.) ;
• Build framework for “productionizing” analytical ideas eg. moving a successful predictive model into production/automation mode.  This should follow a standard design, develop, test and deploy framework customized for analytics ;
• Productionize existing key analytical processes such as predictive models, reports and dashboards ;
• Build processes to monitor analytical process performance over time and framework to add enhancements when required eg. model performance tracking, data quality tracking etc. ;
• Effective and timely stakeholder management to identify and manage risks to delivery ;
• Work closely with DS team to enable them with existing and AWS infrastructure, and data engineering related tasks such as extraction of non-standard data eg. web scraping, click stream data etc. ;
• Look for opportunities to improve efficiency and quality of analytical processes.

We’re looking for someone who’s…

• Bachelor degree in Computer Science/Engineering, IT or mathematics ;
• ETL planning and development ;
• Strong SAS Base, Macro and SQL programming skills ;
• Python programming on-premise and on AWS ;
• Understanding of AWS Big Data ecosystem (eg. Hadoop, Spark, Hive,Pig etc.) ;
• Understanding of analytics and BI (eg. reporting, modelling, dashboarding etc.) ;
• Design and development of SAS based ETL processes (min. 5 years) ;
• Design and development of automated flexible/robust ETL workflows (min. 2 years) ;
• Operationalization of analytical processes (min. 2 years) ;
• Migration of analytical processes from on-premise infrastructure to AWS (min. 2 years).  More specifically migrating on-premise SAS based processes to AWS S3 and EMR (Spark/Presto) based processes using Python, Hive, pySpark, SparkSQL etc. ;
• Technical documentation (min. 2 years).

It’s great if you have…

• Postgraduate degree in Computer Science/Engineering, IT or mathematics ;
• Any further data engineering certifications in known cloud technologies eg. AWS, Azure, Cloudera, Greenplum etc.  AWS certification preferred ;
• Deep working knowledge of Data architecture, Data management, Data Quality and Analytics ;
• Experience with Microsoft BI stack ;
• Experience with Loyalty and flight booking systems such as Sabre and Crane ;
• Experience with digital data ;
• Experience as an analyst.

Want to know more?

Get in touch and we can go from there.

For the health and safety of staff and guests, Virgin Australia has implemented a mandatory COVID-19 Vaccination Policy. New staff will be required to comply with the Policy which includes being vaccinated against COVID-19 prior to 31 March 2022 and providing Virgin Australia with evidence of your vaccination status.