Senior AWS Data Engineer

Sydney, AU

Lion

Lion is a global beverage company with a portfolio of brands in beer, cider, wine, spirits, seltzers, and non-alcoholic drinks.

View all jobs at Lion

Apply now Apply later

Don’t settle for ordinary – we welcome those on the hunt for more! At Lion, we believe that life is short and working in Growth just feels different when you sit at the heart of human connection and good times. So put a spark back in your day, working in an exciting industry as unique as you and with outstanding brands that those around you know and love like Furphy, Speights, James Squire and Tooheys!


Are you ready to lead Lion into the future of data-driven decision making?


We're seeking a Senior AWS Data Engineer to expand and optimise of Lion’s Data & Analytics platform. In this pivotal role, you'll drive the ingestion, transformation, and provisioning of data, empowering our Insights teams to extract actionable insights efficiently. Your expertise will not only enhance current capabilities but also foster a culture of data-driven innovation, aligned closely with Lion’s rigorous data governance practices.


The opportunity:

  • Design, build, test, and deploy optimized, highly available, and reliable data pipelines and architectures using relevant tools.
  • Drive business value creation by integrating new data platform toolsets into an innovation pipeline.
  • Assemble large, complex structured and unstructured data sets that meet business requirements, ensuring security and governance.
  • Update existing data models and metadata repositories for new use cases.
  • Identify, design, and implement internal process improvements, including automation, data delivery optimization, and infrastructure scalability redesign.


What we’re looking for:

  • Extensive experience with AWS architecture, technologies, and services and establish recommendations for new AWS services or solutions.
  • Strong understanding of Data & Analytics concepts and technologies, including data warehousing, data lakes, ETL, visualization, and reporting, with a focus on creating business value.
  • Proficiency in data engineering tools and languages such as SQL, Python, Athena, Redshift, and Glue.
  • Deep knowledge of Data Architecture, Data Modeling, Data Marts, and Metadata Management best practices.
  • Minimum 8 years of experience in Modern Data Platforms (AWS, Azure, etc.) and Data Engineering, with strong Agile delivery skills and a degree in Computer Science, Data Science, IT, or a related field.


At Lion, we offer ‘growth on tap’ and you’ll get hooked on reaching higher with each new challenge. No matter your chosen career, for those thirsty for more we have endless experiences to learn and grow. But don’t worry, you don’t have to choose between your career and other life priorities – we have fantastic people, policies, and programs in place to empower you to lead a career and life less ordinary.

Apply now Apply later
  • Share this job via
  • 𝕏
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: Agile Architecture Athena AWS Azure Computer Science Data governance Data pipelines Data Warehousing Engineering ETL Pipelines Python Redshift Security Spark SQL Unstructured data

Region: Asia/Pacific
Country: Australia

More jobs like this