We are hiring a senior, hands-on Data Engineer to play a pivotal role in transforming Global Delivery operations through data-driven automation, generative AI, and agent-based systems.
Requirements
- Design, build, and operate scalable, resilient data pipelines supporting operational analytics, reporting, and AI-driven automation across cloud and on‐prem environments.
- Model, store, and serve large-scale datasets optimized for both analytical workloads and low-latency consumption by AI and agent-based systems.
- Integrate data from multiple internal and external sources, including vendor feeds, APIs, files, and enterprise platforms.
- Ensure pipelines are observable, reliable, and production-ready with clear ownership and operational rigor.
- Act as Data Steward for assigned business services within GD Simplification, accountable for: Data quality, consistency, lineage, and lifecycle management.
- Define and enforce data standards, controls, and documentation aligned with governance and platform requirements.
- Enable AI and intelligent automation by ensuring high-quality, well-governed inputs for training, inference, and decisioning.
- Define agent action constraints, data quality gates, and human‐in‐the‐loop triggers before automated actions are executed.
- Establish data quality rules and exception taxonomies.
- Monitor data quality dashboards, triage issues, and coordinate remediation across upstream and downstream teams.
- Ensure data quality and control checks are embedded before AI-driven actions occur.
Benefits
- Flexible work-life support
- Paid volunteer days
- Vibrant employee networks
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