DataEngineer

As a Data Engineer at PERGOLUX, you will build and own the data pipelines that enable fast, reliable operational insights across the business. Your work ensures the company can trust its data, automate confidently, and make high-impact decisions in real time. You will join a lean, senior data team where reliability, clarity, and business value—not technical complexity—define success. At PERGOLUX, we combine Scandinavian-inspired design with a collaborative, ambitious culture grounded in integrity, innovation, and unity. WHAT YOU’LL DO - Build and maintain a dependable ingestion and delivery layer that moves data into Snowflake and feeds operational tools with high accuracy and low maintenance overhead. - Own the ingestion backbone across systems such as HubSpot, Klaviyo, Google Ads, and Canary7, selecting the tools and approaches that maximize stability and simplicity. - Design monitoring, observability, and alerting that eliminate silent failures and give stakeholders full visibility into data health and freshness. - Define pragmatic orchestration patterns that ensure scalable, cost-efficient, and resilient pipelines—introducing new tooling only when it clearly reduces failure modes or maintenance costs. - Lead simplification initiatives within the first 90 days by improving stability, reducing pipeline breaks, and implementing a transparent, well-instrumented data platform. WHAT YOU’LL BRING - A pragmatic mindset focused on simplicity, reliability, and business value over unnecessary technical complexity. - Strong systems thinking and the ability to evaluate downstream impact when designing pipelines and data flows. - Fluency in Python, SQL, and Git, with a deep understanding of production-grade data engineering concepts such as data contracts, schema evolution, idempotency, and failure-state management. - Ability to create force-multiplying infrastructure that removes ambiguity, eliminates manual work, and accelerates Analytics Engineering workflows. - A discipli