Augury
Industrial AI
SoftwareDataEngineer,DataPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Data Engineer, Data Platform at Augury. Skills: Data Engineering, Software Engineering, Data Platform, AI/ML. Build and evolve Python-based services and pipelines. Ingest raw industrial events”
Industry & Context.
Troubleshoot production data issues; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or related engineering discipline, or equivalent practical experience, 5+ years professional software engineering experience, Substantial experience building backend systems, distributed systems, or data-intensive applications in production environments, Python engineering skills, SQL and data modeling expertise, Hands-on experience building incremental and idempotent data pipelines, Experience with at least one major cloud platform (Azure, GCP, or AWS), Experience with modern lakehouse technologies, Experience with streaming or messaging technologies, Proven ability to diagnose and resolve production data issues, Written and verbal communication skills in English, Experience collaborating effectively with globally distributed teams
Nice to Have
Experience building industrial, IoT, manufacturing, or operational data platforms, Familiarity with Digital Twin architectures, Familiarity with industrial data models, Experience with graph databases, Experience with context graphs, Experience with knowledge graphs, Experience with relationship-centric data modeling, Exposure to AI/LLM-powered applications, Experience working with Databricks from application and platform perspectives, Experience building data products that directly support AI agents, intelligent applications, or machine learning workflows
What You'll Do.
Build and evolve Python-based services and pipelines
Ingest raw industrial events
Store events reliably
well-modeled tables and APIs
Design systems that handle duplicates
Design systems that handle invalid data
Design systems that handle late-arriving events
Design systems that handle reprocessing
Collaborate with platform
Transform complex data challenges into robust
Design and implement end-to-end data flows
Build idempotent pipelines
Implement incremental aggregations
Model relationships and context across machines
Define how datasets are stored
maintainable Python services
Apply data modeling and SQL fundamentals
Drive testing discipline across the data platform
Design for observability
Troubleshoot and resolve production data issues
Build and evolve systems that scale
Design and implement data pipelines following modern lakehouse
Work with streaming and messaging platforms
Build replay capabilities
Build reprocessing workflows
Contribute to multi-tenant data architectures
Contribute to data contracts
Contribute to governance practices
Work closely with DIH
Define how agents interact with structured data
Translate product requirements and user needs into technical
Participate in architecture reviews
Participate in design discussions
Participate in code reviews
Participate in collaborative development practices
Help shape the future of AI-native experiences
Build the data foundations that power intelligent applications
How You'll Work.
Team & Collaboration
Platform teams; Machine learning teams; Product teams; DIH teams; Smart Canvas teams; AI teams; Globally distributed teams
Communication Scope
Written communication; Verbal communication
Full Job Description
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. You are a Software Data Engineer with deep experience building data-intensive systems, not a traditional ETL or BI-focused Data Engineer. In this role, you will design and build production-grade data services, platforms, and pipelines that power DIH and our AI-driven products. You will combine strong software engineering fundamentals with modern data engineering practices, with a focus on clean architecture, reliability, scalability, observability, and testing. As a Software Data Engineer, Data Platform, you will: Build and evolve Python-based services and pipelines that ingest raw industrial events, store them reliably, and expose clean, well-modeled tables and APIs for downstream consumers, including Digital Twin, Smart Canvas, AI agents, and analytics. Design systems that handle duplicates, invalid data, late-arriving events, and reprocessing in a principled, incremental, and reproducible manner. Collaborate with platform, machine learning, and product teams across Israel and globally to transform complex data challenges into robust, observable, and scalable software solutions. A Day in Your Life Production Data Systems & Pipelines Design and implement end-to-end data flows, from raw event ingestion into durable storage to modeled datasets and aggregates that power products, Digital Twin capabilities, analytics, and AI agen
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