Senior Data Engineer
Employment Info
JOB DETAILS
Requirements
- 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
- Bachelor’s degree (or higher) in Computer Science, Data Science, Information Technology, or a closely related analytical field — or equivalent practical experience
Responsibilities
- 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
Desired Qualifications
- 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
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