Note: The job is a remote job and is open to candidates in USA. Unilever is looking for a CD Excellence Associate Data Engineer to enhance their B2B sales team's capabilities through AI-driven data solutions. The role involves designing and maintaining scalable data pipelines, optimizing workflows, and collaborating with cross-functional teams to unlock actionable insights from data.
Responsibilities
- Design, build, and maintain scalable data pipelines and solutions on Microsoft Azure or similar cloud platforms
- Develop and optimize ETL/ELT workflows to support high-volume, high-velocity data ingestion
- Implement robust data models and structures that support analytics, reporting, and machine learning workloads
- Integrate new data sources—internal and external—into the enterprise data ecosystem to expand data availability and unlock new business insights
- Partner with product, engineering, business and global teams to identify opportunities for new datasets and ensure seamless onboarding
- Establish scalable frameworks for data discovery, cataloging, and lineage to support enterprise wide data growth
- Automate data workflows, quality checks, and monitoring using Cloud native tools and Databricks capabilities
- Collaborate with data scientists to operationalize AI models using Databricks, Azure Machine Learning, or similar platforms
- Ensure data readiness, reliability, and accessibility to accelerate AI adoption and experimentation
- Contribute to the development of an enterprise AI strategy by identifying data gaps, opportunities, and scalable patterns
- Work closely with cross functional teams to translate business requirements into scalable data solutions
- Provide technical guidance and best practices on Azure and Databricks to engineering and analytics teams
- Participate in code reviews, architecture discussions, and continuous improvement initiatives
- Assist in identifying & defining new systems functionality within the Go To Market technology stack
- Improve processes/workflows within the Sales organization in regard to Sales applications and system support
- User support - troubleshooting, identifying problems and working with Local & Global IT to resolve technical issues and work with users to provide proper training
- Assist in the analysis of underlying system issues arising from investigations into requirements and problems, and identify available solutions for consideration
Skills
- Technical aptitude and the ability to drive business value through focused technology solutions
- Deep hands-on experience with cloud services such as Azure data services (e.g., Data Factory, Databricks, ADLS, Synapse, Azure SQL)
- Strong proficiency in building scalable ETL/ELT pipelines using Databricks (APIs, PySpark, Spark SQL, Delta Lake)
- Solid understanding of distributed computing, data lakehouse architecture, Unity Catalog and modern data engineering patterns
- Ability to design and optimize data models that support analytics, reporting, and machine learning workloads
- Strong SQL and Python skills, with the ability to write clean, efficient, production ready code
- Proven ability to onboard new data sources, integrate APIs, and work with structured, semi-structured data
- Experience designing frameworks for data ingestion, metadata management, and data lineage
- Comfort working with large-scale datasets and evolving data ecosystems
- Experience automating data workflows, quality checks, and monitoring using Azure-native tools
- Familiarity with CI/CD practices for data engineering (e.g., GitHub Actions, Azure DevOps)
- Ability to build resilient, self-healing pipelines that minimize manual intervention
- Strong focus on performance tuning, cost optimization, and operational reliability
- Ability to build and maintain feature pipelines that support ML and AI initiatives
- Experience collaborating with data scientists to operationalize models in Databricks or Azure ML
- Understanding of how data quality, structure, and availability impact AI outcomes
- Curiosity and initiative to identify new data opportunities that unlock AI use cases
- Strong ability to turning data into insights and communicate actionable business narratives
- Ability to quickly adapt new AI technologies around LLMs, MCPs, prompt engineering and advanced data modelling
- Interest in developing a deep understanding of the Foodservice industry and its go to market use cases
- Ability to lead and execute multiple projects simultaneously
- Strong business partnering and communication skills
Benefits
- Health insurance (including prescription drug, dental, and vision coverage)
- Retirement savings benefits
- Life insurance and disability benefits
- Parental leave
- Sick leave
- Paid vacation and holidays
- Access to numerous voluntary benefits
Company Overview
- Unilever produces and supplies food, home care, beauty, and personal care products for daily consumer use. It was founded in 1872, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is http://www.unilever.com.
Company H1B Sponsorship
- Unilever has a track record of offering H1B sponsorships, with 2 in 2022. Please note that this does not guarantee sponsorship for this specific role.