At Vodafone, a TPG Telecom brand, we put our customers at the heart of everything we do to give Australians more choice and freedom to connect the way they want.
We are putting significant investment into our data and advanced analytics environment and you will be our first Data Engineer Manager . The core goal of this role is to bring software engineering expertise to a team of business-focused analysts and data scientists. In this role you will get a chance to design, build and scale the core components of this system and productionise data applications to support complex data science use cases and personalisation. In addition, you will be responsible for building and optimising the data collection and machine learning pipelines, including automated testing and monitoring of deployed models. You will be joining our Analytics team based in our head office in North Sydney.
Key Responsibilities and Tasks:
Build and refine a robust Machine Learning pipeline to ensure models are responsive to changes and trends in the data
Build the infrastructure required for optimal ETL of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Build personalisation analytics products that utilise the data pipeline to grow and retain our customer base as well as provide actionable insights into Customer Life Cycle Management.
Develop mechanisms to monitor business critical analytical workloads and generate alerts in case of impact. Create fail safe deployment architecture for Analytics for high reliability
Design and implement a system to securely and reliably send product usage data to third-party systems
Identify and streamline legacy processes through automation and re-engineering
Provide technical expertise to Data Ops, Technology and Data Science teams
Be active participation in deployment and implementation activities for data engineering solutions. Work closely with BI, data operations and external consulting firms to inhouse Data Science products including, next best action engine.
Experience setting data governance and access frameworks desired
Knowledge & Experience:
Computer science, maths, engineering, statistics, IT or related degree
You are an experienced engineer and data wrangler who enjoys optimising data systems and building them from the ground up.
At least 5 years’ experience building and maintaining data pipelines with modern tools such AWS Glue and Airflow . Experience with personalisation engineering a plus
Strong experience with building the cloud infrastructure required for world-class machine learning on AWS, SAS or similar . That would include tools like Kinesis, EMR, S3, Athena, Redshift and ElasticSearch. Familiarity in NLP and entity recognition are a plus.
Experience with big data tools such as Teradata or similar
Experience managing releases and data applications changes . Experience with GitHub, stash, bamboo or similar
Understanding of digital analytics systems such as Google Analytics, Adobe Analytics or similar a plus
Interest in working with data streams using tools such as Kafka, and Spark Streaming
Familiarity with marketing campaign execution engines (SAS Enterprise Guide/Management Console or equivalent) desired
Self-directed and comfortable supporting the data needs of multiple teams, systems and products. You’ll be excited by the prospect of designing and optimising our company data science architecture and applications running on it, to support our next generation of Analytics and ML products and initiatives.
Customer focus and passion for delivering exceptional Analytics products
Experience working in Agile teams
With Vodafone, we are committed to attracting, developing and retaining the best people by offering a flexible, diverse and inclusive workplace where hard work is truly rewarded. You will have access to fantastic benefits as part of a global company, including generous leave policies, leadership development programs and opportunities to grow your career. You’ll be faced with loads of variety where no two days are ever the same in a collaborative work space that helps drive innovation.
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Published on 18 Aug 2020, 2:23 AM