Senior Data Platform Engineer — AI-First Cloud Pipelines

Innovate It Australia

Sydney

Hybrid

AUD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Staff discounts
Dining vouchers

Job summary

EatClub is building the data platform powering real‑time analytics and decision making across hospitality partners. We’re hiring a senior Data Platform Engineer to own ingestion, orchestration, governance, and cost/performance for our analytics lakehouse.

You’ll work with AI tooling and a fast-paced team to ship data products daily in a data-first culture. You’ll collaborate with analytics and data science teams, leverage Databricks and dbt, and influence data quality, security, and

Qualifications

  • Solid experience writing and optimising SQL for commercial-scale products.
  • Strong Python development for data platforms.
  • Hands-on experience building and operating production data pipelines on a cloud data platform.
  • Experience with orchestration and scheduling (Databricks Workflows, Airflow, Dagster).
  • Experience working with internal APIs and third-party tools to ingest data with data integrity.
  • Strong software engineering practices (Git, CI/CD, trunk-based development, tests).
  • Familiarity with an AI-first working style: Claude Code, agentic workflows, AI in daily loop.

Responsibilities

  • Build and operate ingestion into the bronze layer with new source integrations and CDC feeds.
  • Own orchestration workflows: scheduling, dependencies, retries, alerting, and SLAs.
  • Harden CI/CD: trunk-based development, PR checks, tests, and environment promotions.
  • Govern the platform: grants, lineage, tagging, security, and data sharing with partners.
  • Own cost and performance tuning: warehouse sizing, partitioning, clustering, and cost controls.
  • Build data quality and observability: freshness, checks, alerting, root-cause tooling.
  • Make the platform self-serve for analysts and data scientists.

Skills

SQL
Python
Data pipelines
Orchestration
APIs
Git & CI/CD
AI-first

Tools

Databricks
Airflow
Dagster

Job description

EatClub is building the data platform powering real‑time analytics and decision making across hospitality partners. We’re hiring a senior Data Platform Engineer to own ingestion, orchestration, governance, and cost/performance for our analytics lakehouse.

You’ll work with AI tooling and a fast-paced team to ship data products daily in a data-first culture. You’ll collaborate with analytics and data science teams, leverage Databricks and dbt, and influence data quality, security, and

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