Data Engineering Lead Jobs

Bellroy

Location:
Australia, Collingwood

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

This role has all three. Our data infrastructure (including Kafka, AWS/GCP, Python, R) is solid, our problems are interesting, and your work will directly accelerate how we operate and make decisions. This isn't about maintaining pipelines, it's about turning data into a strategic enabler for the entire business.

Job Responsibility:

Diving deep into complex pipeline issues while contributing to our strategic direction and architecture
Bridging engineering excellence and business impact through collaboration across every level of the organization
Strengthening our engineering function alongside a talented team
Building systems that don't just serve the business, they propel it forward

Requirements:

At least 4 years of experience in data engineering roles, with demonstrated progression toward technical leadership
Advanced SQL expertise and hands-on experience building and optimising data pipelines using modern orchestration tools (Apache NiFi, Airflow, or similar)
Strong debugging skills with the ability to perform root cause analyses on complex data pipeline issues
Proven ability to maintain and evolve production data infrastructure in cloud environments (AWS/GCP)
Track record of improving data quality, reliability, and operational excellence at scale
Experience working directly with business stakeholders to understand their needs and translate them into data solutions
Demonstrated ownership mindset: you see problems through to resolution rather than passing them along — our systems are stable enough that critical out-of-hours issues come up only a handful of times a year, and we want to keep it that way
Exceptional precision in your work, knowing how to verify correctness even when dealing with unreliable data

Nice to have:

Hands-on experience with our specific stack: Kafka, Python, R, PostgreSQL, AWS Aurora, Google BigQuery
Background in physical product companies - you understand e-commerce, inventory and supply chain data challenges
A track record of successfully mentoring engineers and helping teams level up their technical capabilities
Project management experience with data initiatives, including prioritization frameworks
Implementation knowledge of data governance, privacy standards, and security best practices
Proven ability to build and maintain data science infrastructure (feature stores, ML pipelines)
A genuine passion for data warehouse organization that borders on the obsessive (in the best way)
Contributions to data engineering communities, open source projects, or technical writing

Additional Information:

Job Posted:
December 06, 2025

Work Type:

Remote work

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Data Engineering Lead