Global Data Platform Engineer (GCP & Databricks)

Unilever; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Unilever is hiring a Global Data Engineer focused on Ops Excellence to own end-to-end data pipelines on GCP and Databricks, delivering reliable data for global reporting. You will manage data assets, security, and orchestration while ensuring scale for future reporting needs across markets.

You will collaborate with platform operations, governance and analytics teams, maintaining notebooks and pipelines, upgrading Databricks runtimes, and responding to incidents with stakeholders across global

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 3-5 years of hands-on data engineering experience with production cloud pipelines.
• End-to-end ownership spanning ingestion, transformation, governance, and reporting.
• Strong knowledge of ETL/ELT, data quality, governance, security and IT controls.
• Power Automate, Power Platform, and SharePoint exposure is an advantage.

Responsibilities

• Design, build and maintain scalable data pipelines on GCP and Databricks feeding PEX, PDS and OPTICS.
• Develop and manage data assets in Unity Catalog including schemas, lineage and access policies.
• Manage storage and security components across GCS, IAM and Secret Manager.
• Operate pipeline orchestration via Airflow/Cloud Composer, Orion, Databricks Workflows or GCP Workflows.
• Apply Data Lake and Product Data Store principles for a structured data layer.
• Own pipeline execution, scheduling, monitoring, reruns and failure resolution.
• Maintain Databricks notebooks, workflows and clusters, including DBR/LTS upgrades.
• Manage incidents and service requests end to end with stakeholder communication.

Education

Bachelor's degree in Computer Science / Engineering / Information Systems

Tools

GCP

Databricks

Unity Catalog

Cloud Composer / Airflow

Power BI

Job description

Unilever is hiring a Global Data Engineer focused on Ops Excellence to own end-to-end data pipelines on GCP and Databricks, delivering reliable data for global reporting. You will manage data assets, security, and orchestration while ensuring scale for future reporting needs across markets.

You will collaborate with platform operations, governance and analytics teams, maintaining notebooks and pipelines, upgrading Databricks runtimes, and responding to incidents with stakeholders across global