Data Engineer

We are seeking a Data Engineer to build and operate the data foundations of the Sight portfolio, which involves designing, building, testing, and operating reliable ingestion and processing pipelines from plant OT sources into Google Cloud Platform (GCP).

The successful candidate will work at the intersection of operational technology, cloud data engineering, and machine learning enablement, across both parametric data and image-based detection.

Key responsibilities include:

• Designing, building, testing, and operating data pipelines from plant OT sources into GCP
• Working with event-driven and polled acquisition models, adapting to plant-level infrastructure choices
• Building batch and streaming pipelines on GCP using Pub/Sub, Dataflow, Cloud Run/Functions, Cloud Composer, BigQuery, and Cloud SQL/PostgreSQL
• Handling high-volume unstructured image and video data for Vision products
• Designing and maintaining data models and semantic layers for anomaly detection data
• Implementing data quality controls and making data health visible
• Preparing and serving training and inference datasets for parametric and image-based anomaly detection models
• Partnering with data scientists on the MLOps path to production
• Applying Ford data governance, privacy, retention, and cybersecurity requirements
• Mentoring and coaching engineers working with Sight data

The ideal candidate will have:

• A Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field
• Typically 5+ years of hands-on data engineering experience with production pipelines and data platforms
• Advanced SQL and strong Python skills
• Practical experience with GCP, including BigQuery, Pub/Sub, Dataflow, Cloud SQL, and Cloud Storage
• Experience with batch and streaming data processing and orchestration tooling
• Experience with data modeling for analytical and operational use
• Demonstrable experience mentoring and growing other engineers
• Fluent professional English