Im looking for a hands-on AnalyticsData Engineer to help build and scale a modern data platform in a fast-growing, product-led business.
This is a high-impact role in a small team, where you’ll shape the data foundations for their new platform, that houses their analytics and data insights.
🔧What you’ll be doing
* Design, build, and maintain scalable data pipelines (ELT/ETL)
* Own the flow of data from source systems → warehouse → BI tools
* Develop clean, reusable data models for analytics and reporting
* Integrate a wide range of data sources, including marketing, CRM, and operational systems
* Implement data quality checks, monitoring, and validation
* Automate workflows to improve speed, reliability, and reduce manual effort
* Establish a robust, scalable data platform that supports growth
* Improve data reliability, accessibility, and trust across the business
* Enable self-serve analytics through well-structured datasets
* Partner with stakeholders across Growth, Finance, Marketing, Product, and Operations
* Translate business needs into scalable technical solutions
* Communicate clearly with both technical and non-technical audiences
🧠What we’re looking for
* Strong experience with Snowflake
* Advanced SQL skills working with large datasets
* Hands‑on experience with modern data tools (DBT ideally)
* Solid understanding of data warehousing and architecture best practices
* A detail‑oriented mindset with a focus on data quality and reliability
* Comfortable working in a small, high‑impact team
➕ Nice to have
* Experience working with CRM and marketing data (e.g. HubSpot, Salesforce, ad platforms)
* Background in digital marketing analytics or attribution
* Python or R for automation and data processing
* Familiarity with experimentation (A/B testing)
* Exposure to data governance or cataloguing tools
📩 Apply now below or reach out to learn more.
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