Senior Data Platform Engineer (m/f/d)

Job summary

The Senior Data Platform Engineer will own the end-to-end lakehouse foundation for a supply-chain platform, partnering with the Head of Data as its first dedicated data platform hire. The role covers ingesting CRM and operational data, building trusted commercial and logistics datasets, and implementing batch or near-real-time pipelines with quality monitoring. It will also prepare data for dynamic pricing, forecasting, demand sensing, and AI agents.

Benefits

Qualifications

• At least 5 years of data engineering experience, including ownership of a data platform
• Strong SQL and Python skills and hands-on Spark experience
• Lakehouse experience; Databricks strongly preferred
• Experience using CRM or ERP systems as primary data sources and modeling messy operational data
• Familiarity with infrastructure as code and software engineering practices
• Ability to communicate with non-technical stakeholders and challenge unsuitable requests
• Comfort working in a fast-changing scale-up without a finished specification
• Routine use of AI coding tools and awareness of their limitations
• Streaming, machine learning, statistics, Salesforce, commerce, marketplace, or supply-chain experience is advantageous

Responsibilities

• Own the lakehouse and data platform end to end, including ingestion, storage, pipelines, orchestration, and governance
• Choose batch or near-real-time processing based on business needs
• Establish engineering standards for a growing team
• Model quotes, orders, margins, suppliers, and shipments into trusted, reusable datasets and metrics
• Build features, signals, historical snapshots, and feedback loops for pricing, forecasting, demand sensing, and AI agents
• Implement tests, monitoring, and alerting to detect pipeline failures and schema changes

Skills

Degrees

Industry

Company size

Relocation