Senior Data Engineer (Remote)

zepto.com.au; Australia; Remote; AUD 140,000 - 190,000; Full time

Benefits offered by this job

ESOP

Remote‑first culture

Premium coworking spaces (Byron/Sydney

Paid parental leave

Wellbeing & learning budget

Remote Work Budget

Job summary

Zepto is expanding its dedicated Data team to build data products that ship to merchants and partners, not just dashboards. You will work on a Snowflake platform, orchestration and governance foundations, and create reliable, real-time data capabilities at scale.

The role involves collaborating across product and engineering, embracing AI, and driving data as a product in a fast-growing fintech environment in Australia.

Qualifications

• 5+ years of dedicated Data Engineering experience.
• Experience designing and implementing a modern data stack.
• Hands-on with data warehouses and streaming technologies.

Responsibilities

• Mature Snowflake platform performance, testing, data quality, and observability.
• Design and build streaming data pipelines and move use cases to event-driven patterns.
• Contribute to architectural roadmap for Zepto's data services.
• Ship data products via APIs, data feeds, or partner datasets.
• Provide hands-on analytics engineering to cross-functional teams.
• Support data governance, lineage, metadata management, and transparency.
• Embed AI into daily workflows with structured documentation and processes.

Skills

Data engineering

Workflow orchestration (Prefect/Airflow

SQL & analytics engineering

Streaming data (Kafka/Kinesis)

Python & Bash

CI/CD for data projects

Terraform / IaC

Public Cloud (AWS)

Data product mindset

Data governance & lineage

Tools

Snowflake

Prefect/Airflow

Fivetran

Debezium

DBT

Kafka/Kinesis

Python

Bash

Terraform

AWS

Job description

About Us

Zepto is building the beating heart of Australia's real-time, account-to-account payments revolution.

We're a rapidly-scaling business reimagining how money moves for some of Australia's largest merchants, organisations and payment platforms – disrupting a market that's been overdue for change for decades. This ambition has seen us recognised as FinTech Organisation of the Year at the Finnies Awards. Twice.

For passionate, action-oriented people, this ambition means genuine opportunity: to build category-defining infrastructure, own hard problems, and grow a career at the pace of the business around you. This isn't incremental work – it's the kind of experience that changes the trajectory of a career.

We believe in the power of positive human experiences, and that a deep sense of belonging creates cohesion in our culture. Even as a remote-first team, you'll be a contributor and custodian of that culture, solving complex problems alongside talented people who are just as driven to help us deliver on our brand promise and build 'a better way to pay' at Zepto. #WishYouWereHere

About the Role

Reporting to a dedicated Engineering Manager, this role is perfect for experienced Senior Data Engineers who are excited to work on our modern data stack. We are expanding our dedicated Data team to focus on growing our data capabilities at Zepto as we build data products that ship directly to merchants and partners, not just internal dashboards and reporting.

You'll join a Snowflake platform with existing orchestration, transformation, and governance foundations already in place. This role will play a pivotal role in making it more reliable, more real-time, and more valuable to the business than it is today.

Working in a scale-up, means you get the opportunity to flex your skills in a variety of ways. We are agile and always willing to roll up our sleeves to get things done. You can, however, expect your day to day to be involved in the following:

Responsibilities

• Maturing our existing Snowflake platform: performance, testing, data quality, and observability
• Designing and building streaming data pipelines, moving high-value use cases off batch and onto event-driven patterns
• Contributing to the architectural roadmap for Zepto's data services
• Partnering with product and engineering to scope and ship data products for external customers and partners
• Implementing and managing data orchestration tools and frameworks to support robust data pipelines.
• Providing hands‑on analytics engineering to support and collaborate with cross‑functional teams.
• Expanding our foundations to maintain enterprise‑grade data governance and compliance. Including building on our foundations of data lineage, metadata management, and data transparency.
• Embracing the way we work with AI: Play a hands‑on role in integrating AI into how we work – embracing the setup, documentation, and cross‑team alignment of AI tools so our processes are scalable, structured, efficient and built to last beyond any one person.

About you

You have proven experience automating and supporting production grade hybrid cloud infrastructure. You've worked with modern data stack tooling and have perspective and experience about where it breaks down at scale. Ideally, you've taken a data team from "reporting function" to "product function" before, or you're itching to.

You're energised and enthusiastic, comfortable in a busy, high‑volume, competitive commercial environment. Your collaboration skills make you a valued member of the team and fundamentally a good colleague to work with.

What we’re looking for

• At least 5+ years of dedicated Data Engineering experience, with a proven track record designing and implementing a modern data stack, such as:
  • Workflow orchestration (eg. Prefect/Airflow)
  • Extraction and load tooling (eg. CDC, Fivetran, Debezium)
  • Transformation tooling (eg. DBT)
• Hands‑on experience with data warehouses, ideally Snowflake
• Real experience with streaming/event‑driven data technologies (eg. Kafka, Kinesis, or similar)
• Deep SQL and analytics engineering skill, and comfort optimising warehouse performance at scale
• Experience shipping data as a product: APIs, data feeds, or partner‑facing datasets, not just internal dashboards
• Comfortable writing high quality Python code and Bash; Golang or Ruby is a bonus
• Experience with CI/CD for data projects, and managing data infrastructure as code (Terraform preferred)
• Knowledge architecting and administering solutions in a Public Cloud (preferably AWS)
• Demonstrated ability to work with other engineers and to get hands‑on across the data stack (back‑end, application databases, external services)
• Ability to work with cross‑functional teams to unlock value from data across the business
• Driving AI maturity and adoption: Embedding AI tools into the rhythm of daily work across the team, ensuring processes are structured, documented, and consistently followed — reducing key person dependency and building a foundation that scales.

What’s on Offer

Headquartered in beautiful Byron Bay, Zepto has an inspiring founder story and a customer-focused, culture‑first organisation. You’ll be joining a team that champions curiosity and a pioneering perspective, and thrives in a fast‑moving sector.

Commitments

• Join a Talented Team: Work with world‑class talent and industry leaders who support career growth
• ESOP: Access to Zepto’s Employee Share Program equity program
• Flexible Work: A remote‑first work culture, plus you’ll also get access to premium co‑working spaces in Byron, Sydney & Melbourne
• Paid Parental Leave: 12 weeks Paid Parental Leave for primary caregivers and 4 weeks for secondary caregivers.
• Wellbeing Focus: Access to Zepto’s Wellbeing Menu, which includes access to an Employee Assistance Program and paid Wellbeing leave.
• Annual Learning Budget: An individual learning budget, plus paid Growth & Impact Days annually to focus on professional development
• Remote‑Work Support: A Remote Work Budget to set up your home office upon commencement

Note: As an organisation in the financial services industry, please note that we conduct background checks as part of our recruitment process.