Senior Data Platform Engineer — AI-Driven Data Lake

Zipline.io; Melbourne, Sydney; Hybrid; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Stock options

Mac or PC provided

Free psychology sessions

Recharge days

Team offsites ( Bali yearly )

Kindle book access (200+ titles)

Monthly fitness budget

Job summary

Zipline.io is building the data platform to support its next growth phase. The role connects systems, designs data pipelines, and builds models to enable reliable analytics for AI and business users.

You’ll collaborate with engineering and data stakeholders to deliver scalable data solutions and clear metrics. Expect to work across dashboards, warehouse design, and data-lake architecture in a flexible AU-wide setup with hybrid and remote options, aiming for practical, value-driven data

Qualifications

• You’ve built reliable production data or backend systems and can explain design decisions.
• You’re comfortable querying and modelling data, writing code and testing assumptions.
• You can move between design and implementation, improving existing systems.

Responsibilities

• Connect data across customer, finance and operations systems with source traceability.
• Design and build data pipelines, integrations and reusable models; organize data effectively.
• Write and test production code, investigate discrepancies and edge cases.
• Build dashboards and reports to help teams answer real questions and support AI needs.
• Lay data foundations to support consumption-based pricing as Zipline grows.

Skills

Production data systems

Data querying & modelling

Backend code design

Design-to-implementation

Tools

Power BI

BigQuery

Job description

Zipline.io is building the data platform to support its next growth phase. The role connects systems, designs data pipelines, and builds models to enable reliable analytics for AI and business users.

You’ll collaborate with engineering and data stakeholders to deliver scalable data solutions and clear metrics. Expect to work across dashboards, warehouse design, and data-lake architecture in a flexible AU-wide setup with hybrid and remote options, aiming for practical, value-driven data