Senior Data Engineer (Python) - Remote

Our client is seeking a highly technical Senior Data Engineer to join their Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping the enterprise data platform, owning ingestion, modeling, and activation of data that powers reporting, decision-making, and automation across the organization. Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. This role partners directly with teams across Supply Chain & Manufacturing, Finance & Accounting, HR, Software, Field Operations, and R&D. The ideal candidate combines strong data engineering expertise with business curiosity, high ownership, and a bias toward action. Highly technical data engineering skillset # End-to-end ownership of data infrastructures or projects with measurable business impact # Personable, collaborative, action"‘oriented, and comfortable working fully on-site Material Operations Data pipelines supporting concrete production workflows Cost tracking, forecasting, inventory management Machine and equipment performance monitoring Field service ticket analysis Strong Python scripting (required) SQL proficiency (preferred) AWS, Snowflake, Power BI Proven end-to-end data infrastructure ownership Experience integrating data from APIs, machine data sources, ERP systems, SaaS tools, and cloud storage platforms Lead ingestion and transformation pipelines across internal tools, SaaS systems, and industrial data sources Model and maintain governed, high-quality data assets for reporting, diagnostics, forecasting, and automation Build analytics frameworks and operational dashboards with real-time visibility into cost, progress, equipment status, and material flow Partner with business and technical stakeholders to translate pain points into scalable data solutions Mentor team members and support a culture of excellence in data engineering 8+ years in data engineering, analytics engineering, or backend software development ~ Bachelor's degree in Computer xijylhu Science, Data Engineering, Software Engineering, or related field ~ Hands-on expertise with Python and SQL ~ Experience delivering scalable data products in fast-paced environments ~ Strong understanding of data modeling, business logic abstraction, and stakeholder engagement Supporting Manufacturing, Field Operations, or Supply Chain teams with near real-time analytics Familiarity with platforms such as Procore, Coupa, or NetSuite Building predictive models or workflow automation Background in data governance, observability, or maintaining production-grade pipelinesRemote working/work at home options are available for this role.

Created: 2026-02-08