Senior Data Engineer

Tracksuit

Senior Data Engineer managing analytics platform at Tracksuit. Collaborating with global teams to ensure data quality and drive business decisions across departments.

Posted 5/25/2026full-timeSydney • 🇦🇺 AustraliaSenior💰 A$138,000 - A$208,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudSQLTerraformVault

About the role

Key responsibilities & impact

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, scaling, and continuously enhancing our core Analytics data platform (Snowflake + dbt) as Tracksuit expands globally.
Maintaining and enhancing our data integrations with internal and external systems (including HubSpot, Subskribe, Vitally, and our product database), ensuring seamless data flow and accessibility.
Designing and building self-service data products that meet complex internal business requirements across Finance, GTM, and Product — reducing reliance on ad-hoc requests and enabling faster decisions.
Identifying and delivering high-value analytics capabilities for internal stakeholders, translating business problems into well-modelled, trustworthy data.
Mentoring junior team members, establishing robust data engineering practices, and helping shape the future of our growing global data capabilities.

Requirements

What you’ll need

5+ years of experience designing, developing, and managing large-scale data platforms, with strong expertise in Snowflake as your primary warehouse.
Advanced SQL and dbt proficiency — you write clean, well-tested transformation logic and understand the difference between a well-organised set of dbt models and a true semantic layer.
Strong understanding of data modelling techniques — you know when to apply dimensional modelling, Data Vault, or a simpler normalised approach based on the problem at hand.
Experience with data integration pipelines — building and maintaining ELT pipelines from SaaS sources (CRM, billing, product databases) into a centralised warehouse.
Infrastructure-as-Code experience — you're comfortable managing data infrastructure programmatically (e.g. Terraform) and understand why it matters at scale.
Exceptional collaboration skills — you can translate ambiguous business questions into clear data requirements, communicate confidently with non-technical stakeholders, and contribute positively to a fast-moving, distributed team.
A genuine curiosity about how data drives business decisions — you care about the downstream impact of the work, not just the technical elegance of the pipeline.
**Nice-to-have**
Experience with AWS cloud infrastructure (S3, Lambda, Glue)
Experience building or contributing to a semantic layer or metrics layer
Prior experience in a B2B SaaS environment.
**Qualifications**
Bachelor's degree (or higher) in Computer Science, Data Science, Information Technology, or a closely related analytical field — or equivalent practical experience.

Benefits

Comp & perks

Compensation: Competitive market-rate salaries.
Equity: Every Trackstar gets a slice of the pie through our ESOP program.
Wellbeing perks: 6 weeks paid leave, an annual wellness bonus, and access to top tier EAP services.
Parental support: 12 weeks paid parental leave for all parents, extra support for IVF, and a phased return to work.
L&D budget: $1000 per year to spend on your own learning and development — plus heaps of internal opportunities for growth.
Flex where it counts: We’re office-first, with stunning hubs in Auckland, NYC, London, and Sydney — and we support flexibility in how you manage your time.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SnowflakeSQLdbtdata modellingELT pipelinesInfrastructure-as-CodeTerraformdata integrationdata qualitydata reliability

Soft Skills

collaborationcommunicationmentoringproblem-solvingcuriositytranslating business questionsteam contributiondata-driven decision makingstakeholder engagementadaptability