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Tyro Payments

Data Engineer

Posted 22 Days Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
The Data Engineer will design, build, and maintain data pipelines and integrations for Tyro's Data & AI Platform, ensuring data quality and compliance while supporting AI initiatives and operationalizing machine learning models.
The summary above was generated by AI

Why Tyro? 

At Tyro, we’re into business big time. Through our integrated payments, banking and lending solutions, we’re here to ensure nothing stands in the way of Australian business success. With over 21 years' experience under our belt, we know what it takes to build something great, which is why we combine the best people, technology, and partners to deliver simplified payments and seamless business banking to our customers. We’re proud to power more than 73,000 merchants across Australia and to work with more than 700 partners to create seamless experiences for hospitality, retail, services and health providers. 

It starts with You. 

Just like our customers, we’re obsessed with the success of our people. So, when you come onboard, we’ll give you all the support you need to do your best work. Our close to 600 Tyros are a highly collaborative team, so you’ll get to work with smart, motivated and friendly people across Tyro. We are fast paced and innovative and strive to live our values everyday commit to greatness, stay hungry, wow the customer, be good and win together!  We are big enough for you to have opportunities to have a career at Tyro and small enough that you can have a real impact. As we continue our mission to shake things up and make payments the easiest part of doing business, you’ll have the opportunity to learn new skills with hands-on experience, further your career, and help unleash the potential of our customers, one payment at a time. 

🎥 Step inside life at Tyro here.

About the role:

As a Data Engineer at Tyro, you will play a pivotal role in building and scaling Tyro's Data & AI Platform - the foundation that powers analytics, machine learning, and emerging AI-driven capabilities across the organisation.

What you'll do:

Core Platform Engineering

  • Design, build, and maintain robust, scalable pipelines and data integrations across the Tyro Data & AI Platform.

  • Ensure high performance, observability, and resilience across the data stack using modern DevOps practices (AWS, Terraform, etc.).

  • Support the ingestion, transformation, and quality assurance of enterprise data in Snowflake and other storage systems.

AI Enablement and Experimentation

  • Collaborate with Product teams to operationalise machine learning and generative AI models.

  • Develop reliable data foundations and features to support LLMs, agentic systems, and advanced AI experimentation.

  • Contribute to data governance frameworks that enable safe and efficient deployment of AI solutions.

Collaboration and Delivery

  • Work in cross-functional squads to understand analytical, reporting, and Data and AI-related needs.

  • Build data products, dashboards, and APIs that democratise access to trusted data and insights across Finance, Risk, Product, and other teams.

  • Collaborate with engineers and platform managers to continuously improve the scalability and security of Tyro’s data ecosystem.

Quality, Security, and Governance

  • Uphold high standards for data quality, observability, and compliance with APRA, PCI-DSS, and Responsible AI principles.

  • Implement automated testing, version control, and security best practices for all data systems.

What you'll bring:
  • Strong experience with cloud-based data platforms and DevOps practices (AWS, ECS, S3, Lambda, SageMaker, Glue).

  • Proficiency in data warehouse design and development (e.g., Snowflake).

  • Experience with data streaming and processing technologies (e.g., Kafka, Kinesis, Spark, Flink).

  • Strong software engineering foundations - particularly in Python, Scala, Java, or Kotlin - with a focus on testing, performance, and security. Demonstrated ability to collaborate across technical and non-technical teams to deliver impactful data and AI solutions.

  • Deep curiosity and passion for AI, machine learning, and data-driven innovation.

  • Experience operationalising machine learning models or AI services in production environments.

  • Familiarity with MLOps tooling, feature stores, or vector databases.

  • Experience developing or supporting dashboards and analytics tools (e.g., Tableau, Looker).

  • Understanding of data governance, ethical AI, and responsible data use in regulated industries.

What’s in it for you? 

We’ve worked hard to create an environment that’s big on diversity, inclusion, and flexibility, and one that suits the changing needs of team members across Australia. Here are just some of the things Tyros tell us they love about working here.

You’ll also receive: 

  • A mix of in-office and remote working 

  • Learning and career development opportunities 

  • 16 weeks paid primary carers leave 

  • 12 weeks paid secondary carers leave 

  • Annual team-based volunteer day 

  • Birthday Leave  

  • Power Up Day (Additional day of leave) 

  • Weekly team social events, snacks, craft beer and wine, ping pong and video games 

  • Taco Tuesdays 

  • Mental health and wellness initiatives 

  • Novated leasing 

Tyro is committed to a diverse, inclusive workplace where everyone thrives. We welcome applicants of all backgrounds and are an equal opportunity employerIf you need accommodations or adjustments at any stage of the recruitment process, simply inform our Talent team during your conversation with them.

Still with us?

If you’ve got this far, then you might just be a great fit for us. Don’t tick all the boxes above? That’s ok, apply anyway and our Talent team will review your profile - you might be a fit for future roles.

#LI-Hybrid

Top Skills

AWS
Flink
Java
Kafka
Kinesis
Kotlin
Looker
Python
Scala
Snowflake
Spark
Tableau
Terraform
HQ

Tyro Payments Sydney, New South Wales, AUS Office

55 Market St, Level 18, Sydney, New South Wales, Australia, 2000

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