Karbon6 followers14 jobs

Engineering Manager, Data & Analytics

Mid levelSeniorFull-timeHybridSydney NSW, AustraliaDataEngineeringPosted 1 day ago
Pending fitX of Y criteria met

About the job

The Data & Analytics Manager at Karbon is a pivotal role that fosters high-impact teams, balancing efficiency with excellence in a collaborative environment. This position is crucial for driving innovation through a unified data platform, ensuring that engineers grow in skill and confidence while delivering high-quality outcomes. The team thrives on autonomy, accountability, and a culture of continuous improvement.

You'll be responsible for

🌟

Leading a high-performing team

Coaching and growing engineers through clear expectations, regular feedback, and thoughtful development plans.
📈

Delivering meaningful outcomes in Scrum

Partnering with Product and Design to translate goals into a clear plan, guiding the team through execution in a Scrum cadence.
🔧

Building operational strength

Helping the team establish healthy on-call and operational practices, focusing on ownership and effective incident follow-up.

Key criteria

📊

Data engineering management experience

2+ years leading data engineering teams to enhance quality and speed.

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🔄

Agile project management skills

Proven ability to plan and deliver sprints with cross-functional teams.

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🌐

Distributed systems expertise

Depth in managing data integrity at scale across multi-cloud environments.

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Meet the team

Think you're a good fit?See what the hiring team are looking for

About the company

View your fit

5 criteria for this job
Data engineering management experience
2+ years leading data engineering teams to enhance quality and speed.

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Agile project management skills
Proven ability to plan and deliver sprints with cross-functional teams.

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Distributed systems expertise
Depth in managing data integrity at scale across multi-cloud environments.

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Effective cross-team collaboration
Excellent communication skills across diverse locations and time zones.

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Relevant educational background
Degree in Computer Science or equivalent experience preferred.

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