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Data Engineer

Australian Payments Plus Sydney, Australia
Posted 6 days ago Permanent Competitive
Data Engineer
The Game Changers:

At AP+ we're changing the game! We're doing big things, and we can't do it alone. We're part of a big ecosystem, and we know teamwork and passion for our purpose is what will make us successful. We value the unique talents, perspectives, of all our employees. This includes people of all gender identities and sexual orientations, First Nations Peoples, people of all abilities and diverse backgrounds, as well as their families.

AP+ brings together Australia's three domestic payment providers, BPAY Group, eftpos and NPP Australia, into one integrated entity. Bringing these businesses together enables AP+ to create a more competitive and coordinated Australian payments organisation that is strategically placed to respond to the impacts of regulatory and technological change today, and into the future.

Requirements

The Purpose:

As part of our growing Data Team, the Data Engineer role will work with large, complex cloud-based data sets, and need knowledge of one or more data processing technologies and a solid understanding of data modelling concepts. This is a highly technical role with direct accountability for the delivery of projects, working within a multi-disciplined team of engineers, analysts and product leads.

Primary Accountabilities, Duties and Responsibilities:
  • Build and develop data pipelines to ingest and transform data. Make data available for business use, as per project and operational requirements.
  • Responsible for ensuring data integrity (accuracy, consistency, and completeness), of the data available on the modern data platform (Snowflake).
  • Work with data analysts and business users to build and maintain the master data catalogue and system documentation.
  • Build and maintain integrations between data lake, data warehouse, real-time streaming platforms, databases, ETL tools, governance, and BI tools.
  • Write python scripts to manipulate and transform complex datasets, merge different data sets together, reformat data.
  • Create and Publish data flow diagrams and data models.
  • Secure data at rest and in Transit through encryption.
  • Able to create and deploy automated machine learning data models that meet the desired business outcomes.
  • Improve the current BI architecture, emphasizing data security, data quality, timeliness, scalability, and extensibility.
  • Support platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues.
  • Work closely with the team to ensure deliverables and targets are being met.
  • Constantly strive to improve delivery excellence and grow team engagement.
  • Provide second level support on a rotational roster.

We'd love to hear from you if have:
  • 1+ years of experience in building and maintaining bank grade data infrastructure.
  • Experience in transforming and manipulating large and complex datasets.
  • Experienced with SQL and NoSQL modern data stores, able to write complex queries and transformations.
  • Experienced in implementing data warehousing (Snowflake) solutions in large commercial environments and transforming and manipulating large and complex data sets.
  • Enjoys working in an agile team and can work on user stories autonomously.
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.

Benefits

What's Next:
We know applying for a role can be a nerve-wracking experience, so we endeavour to review applications and plan to schedule screening interviews within the next two weeks. If you are among selected candidates, we'll be in touch to schedule a phone interview. In any case, we will keep you posted on the status of your application.

We want to remove all barriers to inclusion so if you need advice or support with your application, we're here to help. Please reach out to recruitment@auspayplus.com.au We also encourage you to let us know your pronouns at any point during the recruitment process.
Job ID  ABBE65E4A8
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