This is a Senior Data Engineer role with Australian Payments Plus based in Sydney, NSW, AU Australian Payments Plus Role Seniority - mid level, senior More about the Senior Data Engineer role at Australian Payments Plus The Game Changers: Australian Payments Plus (AP) is here to shape the future of payments for Australia. We aim to deliver more innovation to Australia’s payments ecosystem, for the collective benefit of Australian businesses, government and consumers. Our solutions include Australia’s domestic debit network, real-time, data rich payments infrastructure, secure bill payments, digital identity verification, QR payments and experiences and open wallet solutions. It’s a new chapter with more possibilities. Life @ AP: We are one connected team in pursuit of one inspiring purpose – to unite people and technology to power better experiences. Each of us has a part to play in making that happen. You’ll be encouraged to bring your big ideas forward and make a difference through your work. Taking steps forward in your career whilst still having room for fun, friendships, and flexibility in your daily life. We’re driven by our core values: lead with heart, learn for tomorrow and live our legacy. A purpose like ours takes the inspired impact of an incredible team. Ready to change the game? We’re ready to help you do it. The Purpose: This highly technical role will lead the development of data projects and solutions across large and complex data sets. This role will design, build and productionise the data pipelines and data assets that underpin multiple AP products and analytical projects. The core accountabilities of the role will include: Lead and manage the delivery of data driven projects. Interrogate and interpret business requirements. Build and develop data pipelines to ingest and transform data. Make data available for business use, as per project and operational requirements. Ensure 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. Deploy automated machine learning data models that meet the desired business outcomes. 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 and mentor others within the team. Provide second level support on a rotational roster. The capabilities needed to be successful for this role are: Tertiary qualification in engineering, mathematics, computer science, or a related discipline. 4-7 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. Nice to have: Good knowledge in using cloud infrastructure services such as Amazon Web Services, SQL and NoSQL modern data stores. Knowledge of one or more data processing technologies and a solid understanding of data modelling concepts. Familiarity with data reconciliation, PII and PCI concepts for working with payment card and transaction data. Good understanding of data mappings, data modelling, data profiling, query design, data flow and pipeline design Extensive knowledge of cloud scripting (Python) in one or more data processing technologies Familiar with APIs to pull data from various systems/platforms. Knowledge of cloud infrastructure services like Amazon Web Services What happens next: At AP, we believe in the power of passion, pride, and purpose. Our team is driven by a shared mission to make a difference in the world of payments, and we're proud to work together towards this common goal. If you’re ready to be a game changer, please submit your application. The Talent Acquisition team will endeavour to review your application and notify you of the outcome within the next two weeks. 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. AP are not partnering with Recruitment agencies this role. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Australian Payments Plus team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Leading data projects Interpreting business requirements Building data integrations Key Strengths Data pipeline development ✅ Data integrity management Python programming ☁️ Cloud infrastructure knowledge Data processing technologies API familiarity Why Australian Payments Plus is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume. A Final Note: This is a role with Australian Payments Plus not with Hatch.