Senior Data Engineer: Real‑Time Data & AI, 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

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.