CD Excellence Data Engineering Associate at Unilever in Remote

Summary: 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 Required Qualifications: - 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 Required Skills: Azure data services, ETL/ELT pipelines, Databricks, SQL, Python Important Skills: Data lakehouse architecture, Data modeling, APIs integration, Data quality assurance, CI/CD practices Nice-to-Have Skills: Business partnering, Agile methodology, Curiosity 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