Data Engineer

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11 - 50 employés

💼 Conseil

⚖️ Juridique

💳 Fintech

💰 €10 000 000 Series A en 2021-07

Consulting • Legal • Fintech

Nous avons pour mission d'inspirer le monde à donner en aidant les organisations à but non lucratif à accepter facilement les dons en actions et en cryptomonnaies.

Description

• Architect, build, and own Overflow's core data infrastructure from the ground up — pipelines, warehouses, data models, and orchestration • Design and implement scalable ETL/ELT pipelines that collect, transform, and deliver clean, reliable data across Overflow's platform and business functions • Build and maintain a unified data layer that integrates data across Engineering, Product, Finance, Revenue, Success, and Operations • Design well-structured, intuitive data models that empower self-service analytics across the company and power OLAP views in customer facing applications • Build and maintain dashboards and reporting infrastructure that give leadership real-time visibility into key business metrics — total giving volume, client sentiment, payment revenue • Partner with the Head of AI to design storage schemas and organization strategies for semi-structured and unstructured data, providing the clean structures required to power advanced MLOps, RAG pipelines, and agent memory • Implement Databricks Unity Catalog to establish strict data governance, documentation standards, access controls, and role-based visibility across the organization. • Build for reliability by implementing data quality monitoring, alerting, and validation frameworks to ensure data accuracy and trustworthiness. • Collaborate closely with Engineering, Product, Finance, Payment Ops, Support, and RevOps to understand data needs and deliver scalable solutions • Act as the internal expert and advocate for data — educating teams on best practices and helping them ask better questions of the data • Contribute to the product roadmap by surfacing data-driven insights about customer behavior, platform performance, and market opportunity

🎯 Exigences

• 5+ years of Data Engineering experience, ideally acting as the first or lead Data Engineer at a fast-growing tech, fintech, or SaaS company. • Proven ability to design efficient OLAP schemas for complex financial transactions and business metrics. • Strong proficiency with AWS data services and building reliable Change Data Capture pipelines. • Strong familiarity with NoSQL databases and a deep understanding of relational SQL databases. • The ability to translate complex business requirements from Finance and Sales into technical data models, and the collaborative skills to work seamlessly with MLOps, Business Operations, and Software Engineering teams.

🏖️ Avantages

• Competitive base salary with equity eligibility • Medical, dental, and vision coverage for employees and dependents • Generous paid time off and company holidays • Paid parental leave • 401(k) retirement plan • Dedicated mental health and therapy stipend to support personal well-being • Team retreats and intentional in-person gatherings throughout the year