Tracksuit9 followers7 jobs

Senior Data Engineer

SeniorFull-timeHybridSydney NSW, AustraliaPosted 1 month agoVerified 1 month ago
Pending fitX of Y criteria met

About the job

The Senior Data Engineer at Tracksuit is a pivotal job that shapes the backbone of decision-making through data. This position is all about building and evolving the internal analytics platform that empowers various teams across the globe. Collaboration is key, as you will work closely with diverse colleagues to enhance data capabilities and drive impactful insights.

Meet the team

About the company

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You'll be responsible for

👨‍💻

Acting as a lead data authority

Owning data quality, reliability, and accuracy across our internal analytics platform, and setting the standard for how we work with data at Tracksuit.
📊

Managing and enhancing analytics data platform

Scaling and continuously enhancing our core Analytics data platform (Snowflake + dbt) as Tracksuit expands globally.
🔍

Designing self-service data products

Meeting complex internal business requirements across Finance, GTM, and Product — reducing reliance on ad-hoc requests and enabling faster decisions.

Key criteria

📊

5+ years in data platform management

Experience managing large-scale data platforms is essential.

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🛠️

Advanced SQL and dbt skills

Proven ability to write clean, well-tested SQL transformations.

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🔗

Data integration pipeline experience

Experience building and maintaining ELT pipelines from SaaS sources.

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A meaningful career starts with a match

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View your fit

5 criteria for this job
5+ years in data platform management
Experience managing large-scale data platforms is essential.

View

Advanced SQL and dbt skills
Proven ability to write clean, well-tested SQL transformations.

View

Data integration pipeline experience
Experience building and maintaining ELT pipelines from SaaS sources.

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Cloud data warehousing expertise
Strong knowledge of platforms like Snowflake or Databricks.

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Collaboration and communication skills
Ability to translate business needs into clear data requirements.

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