Lead Data Engineer (GCP)

Working Location:

What We Are Looking For

We are seeking a Senior Data Engineer with strong expertise in Google Cloud Platform (GCP), data integration, ETL processes, and data governance . This role will support a large-scale manufacturing modernization initiative by leading the migration and deployment of data connectors, building scalable GCP-native data pipelines, and ensuring data engineering activities align with enterprise architecture and governance standards. The ideal candidate combines hands‑on technical expertise with strong cross‑functional collaboration skills in complex, regulated environments.

Responsibilities Lead the migration of prebuilt data connectors from legacy customer systems into the platform's data integration engine

Design, develop, and maintain GCP-native data pipelines using services such as Dataflow, Cloud Functions, and Cloud Run

Ensure successful integration of new data sources into the platform while maintaining performance, scalability, and reliability

Take ownership of custom connector deployment and handover activities following the transition from development teams

Maintain continuity of in-flight connector implementations and support seamless knowledge transfer processes

Coordinate with the Data Architect to ensure data pipelines and connectors align with the overall data lakehouse architecture

Collaborate with the Data Governance Specialist to ensure compliance with data classification and governance requirements

Monitor and optimize data ingestion, transformation, and integration processes

Support the onboarding of new data sources and ensure data quality throughout the integration lifecycle

Document designs, deployment procedures, and technical configurations to support long-v enter whatever is necessary

Requirements and Qualifications Experience with Google Cloud Platform (GCP) data services and cloud-native architectures

Strong knowledge of data integration and ETL processes

Experience building and managing data pipelines using Dataflow, Cloud Functions, Cloud Run, or similar technologies

Experience migrating data connectors and integrating data from multiple enterprise systems

Knowledge of data lakehouse architectures and modern data platforms

Experience with data analysis and data modeling practices

Understanding of database technologies and data management principles

Experience working with large-scale datasets and distributed data processing solutions

Knowledge of data governance, data quality, and data classification requirements

Experience collaborating with architecture, engineering, and governance teams

Strong understanding of cloud-based data engineering best practices

Nice to Have Experience supporting manufacturing, industrial, or operational technology environments

Experience working within regulated environments handling sensitive information

Knowledge of analytics platforms such as Looker

Experience with data migration and modernization programs

Familiarity with AI-enabled platforms and data architectures supporting AI solutions

Experience supporting multi-workstream and distributed delivery models

Knowledge of advanced GCP Big Data and Database services

In compliance with our personal data protection policies, we inform you that the information you provide will be processed in accordance with the Privacy Notice available on our website, in the section: Privacy Notice for the Processing of Personal Data – Candidate.

#J-18808-Ljbffr