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Data Engineer

Memories - Melbourne, VIC

Source: uWorkin

Source: uWorkin


We’re looking for a Data Engineer to join our Data team and work closely with other departments within the business. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Roles & Responsibilities:

  • Translator between IT, business and software engineers
  • Hands on to craft and develop high performing data platforms
  • Develop cloud-based data pipeline architectures, crafted to enable streaming analytics and scaling beyond our current capabilities and enable data products to be consumed by-products & marketing.
  • Build and take ownership of the platform that will enable the business to gain insights into their data and make better decisions based on the data.
  • Deliver solutions hand-in-hand with business users, data analyst and software engineers
  • Provide mentorship to more junior team members.

Key Accountabilities:


  • Infrastructure architecture – high-quality focus solutions, utilise techniques such as CI/CD and TDD.
  • Data modelling - architecture and modelling, ETL, quality assurance, visualisation
  • DataOps - data pipelines, monitoring, production support
  • Work with Data Science, Business and Digital Stakeholders to understand business outcomes and deliver data engineering solutions.
  • Participate in the end-to-end process for the strategic plans for data solution development - planning, execution & evaluation.


  • Work with our core team in Australia, support staff in the Philippines, and satellite staff in the UK and USA.


  • Report directly to the Head of Data and Analytics.


  • Tableau
  • Snowflake
  • Tealium
  • Python
  • Prefect
  • AWS
  • Knowi

Technical Skills:

  • A passion for data and analytics
  • Solid experience working in data engineering or software development.
  • Mentoring skills that enable you to coach and improve the teams' technical, analytical and collaborative skills
  • A growth mentality and the dedication to continuously improve personal and team processes, policies and performance
  • Cloud Data Warehousing and Data Lake experience
  • Experience building data pipeline and data architecture
  • Experience in Python, or other programming languages with the willingness to learn and use Python.
  • Skills in micro-services/API development and continuous delivery.
  • A focus on fast feedback, evolving design and task automation
  • Previous experience with other ETL & reporting tools
  • Experience with modern large-scale data warehouse tool like Snowflake / Redshift

Qualifications & Education:

  • Degree qualification or equivalent diploma or academic record (both Business & IT is a plus)
  • At least 3-5 years working experience with data warehouse and business intelligence related architecture
  • At least 2-4 years working experience with data in a SAAS environment

Memories Values

  • Speed – we move lightning fast, learn and evolve
  • Bold – we are innovative leaders and risk-takers
  • Impact – Big thinkers who know anything is possible
  • Collaboration – honest and transparency drives our team
  • Fun – happiness fuels our creativity and success