Global Data Engineer

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

Job Details

About Unilever
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.

At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the 'one size fits all' approach and instead we will equip you with the tools you need to shape your own future.

Job Purpose
The Ops Excellence – Global Data Engineer owns the end-to-end data platform that powers global operational reporting, including the PEX data product, the Product Data Store (PDS) and the OPTICS 4-Layer Reporting Framework (Engage, Perform, Manage).

The role is accountable for building, running and governing reliable, secure and cost-efficient data pipelines on GCP and Databricks, from source ingestion through to the Power BI frontend.
The position combines data engineering, platform operations and product ownership: ensuring pipelines run on time, data is accurate, releases are controlled, the platform is compliant with Unilever architecture and security standards, and the solution is ready to scale for future reporting and data democratization needs across global hubs and markets.

What Will Your Main Responsibilities Be

A. Data Platform Engineering & Pipeline Development

• Design, build and maintain scalable data pipelines on GCP and Databricks (SQL, PySpark) feeding the PEX data product, PDS and OPTICS reporting layers.
• Develop and manage data assets in Unity Catalog, including schemas, tables, lineage and access policies.
• Manage storage and security components across GCS (Google Cloud Storage), IAM (Identity & Access Management) and Secret Manager.
• Build and operate pipeline orchestration through the applicable target-state framework, such as Managed Airflow / Cloud Composer, Orion, Databricks Workflows or GCP Workflows.
• Apply Data Lake and Product Data Store architecture principles to ensure a structured, reusable and well-modelled data layer.

B. End-to-End Platform Support & Operations

• Own pipeline execution, scheduling, monitoring, reruns and failure resolution to guarantee timely and complete data delivery.
• Maintain Databricks notebooks, workflows and clusters, including Databricks Runtime (DBR) and LTS version upgrades.
• Manage Incidents and Service Requests end to end, including triage, root-cause analysis, resolution and stakeholder communication.

What You Need To Succeed

Experiences & Qualifications

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

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their 'Whole Self' to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.

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