Background & Purpose of the Job
Do you have a passion for driving business results through technology and data enabled solutions? Are you passionate about AI enabled Data Engineering? If so, then we should talk!
Unilever is looking for a CD Excellence Associate Data Engineer to help take our B2B sales team to the next level through the implementation of AI based selling capabilities leveraging industry leading datasets and insights. By growing our structured and unstructured data and unlocking actionable insights at scale through AI, your job will be help bring our Go to Market vision to life.
Your passion for delivery, knowledge of advanced Data Engineering, AI enablement, and detailed oriented nature will not only keep those initiatives on track, but ensure that our data driven business insights are accurate and functioning properly. If not, you will be on a personal mission to dig into the details, slice the data and understand the feeds/processes to figure out what is wrong, document what is needed, and take action to make things right.
Are you ready for your next challenge? Then bring it.
Who You Are & What You’ll Do
• 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.
You’re an Agile guru: Manage multiple deliverables in a fast paced and ever-changing business environment
You’re a SME: You’re a data engineering subject matter expert expanding and improving an industry leading dataset
You’re a Changemaker: Accelerating business value creation by unlocking AI capabilities
You’re a born Leader: Make recommendations on the systems, processes, and services that will help facilitate the go to market organizations achieving our business objectives
WHAT YOU NEED TO SUCCEED:
• 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.
Pay: The pay range for this position is $71,400 to $107,200. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.
Bonus: This position is bonus eligible.
Long-Term Incentive (LTI): This position is LTI eligible.
Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, 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, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
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At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee.
Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.
For more information on your federal rights, please see Know Your Rights: Workplace Discrimination is Illegal
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at [email protected]. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.
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