Principal Data Engineer — Lead Data Platforms (Remote)

Flybuys

City of Melbourne

Hybrid

AUD 180,000 - 260,000

Full time

6 days ago
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Benefits offered by this job

Flybuysflex
Well-being days
Volunteer leave
Learning & development
Team member discount
Be Well Programs
All Team events
Hybrid social events
Starter kit merchandise

Job summary

Flybuys in Melbourne is hiring a Principal Data Engineer to own the technical approach and end-to-end engineering of data platforms and products. You will lead a team of data engineers, shape data architecture and ensure secure, governed, high-quality data delivery for members and partners.

You will design scalable pipelines, establish data governance and adopt AI-assisted engineering within privacy and security boundaries.

Qualifications

  • 8+ years in data engineering with leadership experience.
  • 2+ years leading teams delivering complex data products.
  • Experience designing data platforms and governance.

Responsibilities

  • Own data engineering platforms and end-to-end data product delivery.
  • Lead and coach data engineers, including senior/lead roles.
  • Design reusable data models, ingestion, transformation and streaming pipelines.
  • Define data governance, quality, lineage, security and privacy guardrails.
  • Evaluate new methods/technologies and apply AI-assisted engineering within governance.
  • Collaborate with product, architects and stakeholders to frame opportunities.
  • Ensure observability, testing, resilience and production readiness.
  • Enable self-service data pipelines for other teams with governance.
  • Contribute to roadmaps and manage technical debt, reliability, and costs.
  • Handle other management-assigned responsibilities.

Skills

Data leadership
Data pipelines
SQL
Python
Airflow
dbt
Fivetran
Kinesis
Kafka
Azure
AWS
CI/CD
Data governance
Team leadership

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Airflow
dbt
Fivetran
Kinesis
Kafka

Job description

Flybuys in Melbourne is hiring a Principal Data Engineer to own the technical approach and end-to-end engineering of data platforms and products. You will lead a team of data engineers, shape data architecture and ensure secure, governed, high-quality data delivery for members and partners.

You will design scalable pipelines, establish data governance and adopt AI-assisted engineering within privacy and security boundaries.

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