Lead Data Engineer

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Logicbroker

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2010

📦 Logistique

💼 Conseil

📣 Marketing

💰 €135 000 000 Private Equity Round - Logicbroker en 2021-10

Logistics • Consulting • Marketing

Logicbroker est une plateforme d'orchestration commerciale de niveau entreprise, axée sur l'API, qui relie les détaillants, les marques, les fournisseurs et les places de marché pour automatiser et développer des opérations commerciales complexes. La plateforme propose une automatisation 'agentique' pilotée par l'IA pour le routage des commandes, la synchronisation des stocks, l'intégration des fournisseurs, la gestion des catalogues et le suivi de la conformité, avec des connecteurs préconstruits (EDI, intégrations de places de marché) et des portails fournisseurs sans code. Construite sur Azure pour une haute disponibilité et sécurité, Logicbroker permet une intégration rapide des fournisseurs, une distribution multicanal et une intégration avec les LLM via le Model Context Protocol pour soutenir les flux de travail modernes de eCommerce et B2B.

Description

• Lead a small delivery team and act as a player-coach by owning the most complex data transformations and modeling work, while reviewing and guiding contractor contributions. • Keep work unblocked, well-scoped, and on track to ensure consistent delivery of momentum. • Continue building and refining analytics foundations driven by Gold-layer data models. • Design and implement Medallion architecture transformations (Bronze → Silver → Gold). • Ensure Gold-layer outputs are well-modeled, performant, and consistently consumable by an external analytics engine. • Improve the reliability, clarity, and maintainability of existing pipelines. • Partner with the Engineering Manager to execute an approved Data Warehouse Unification Plan RFC. • Plan and deliver sprint-based execution, with execution as the primary focus given the RFC is already defined. • Work across multiple Databricks instances as part of a GDPR-first data strategy. • Surface execution risks, sequencing concerns, and dependencies early to support successful delivery. • Translate engineering specifications into clear, scoped tickets, logical sprint plans, and well-sequenced workstreams. • Assign work appropriately across contractors based on skill level and complexity. • Implement complex Spark and Databricks transformations directly as needed. • Review pull requests and uphold quality standards across all delivered work. • Communicate progress, blockers, and clarity needs clearly and proactively with stakeholders. • Maintain delivery momentum without unnecessary process overhead.

🎯 Exigences

• Strong hands-on experience with Databricks, PySpark, and Spark SQL • Proven experience implementing Medallion architecture • Solid data modeling skills, especially for analytics and reporting use cases • Experience leading delivery for small engineering teams (formal management not required) • Comfort working with partially defined requirements and refining them collaboratively • Clear written and verbal communication skills in a remote environment

🏖️ Avantages

• Mission-Driven Culture: Be part of a company transforming digital commerce through innovation and agility—your work directly shapes how global brands connect with customers. • Collaborative, No-Ego Environment: We believe the best ideas win, not the loudest voices. You’ll work alongside teammates who challenge and support each other. • Hybrid Flexibility with High-Performance Energy: Whether remote or in-office, we foster autonomy and accountability—because we trust you to own your success. • Leadership That Listens: Our executives are not just accessible—they’re invested in your growth, open to your ideas, and committed to building a company where people thrive. • Celebrated Wins, Shared Learnings: From team offsites to Slack shoutouts, we celebrate progress and learn from setbacks together