Health & Well Data Engineer

Key Skills

Amazon Simple Storage Service (S3), AWS, Azure, Azure Blob, Big Data Technology, Databricks, Google BigQuery, Google Cloud Platform (GCP), PySpark, Scala Programming, SQL

Job Description

Health & Wellness is a strategic Unilever global business unit established to capture the growth opportunity in the €140bn global consumer health segment defined by Vitamins, Minerals, and Supplements (VMS) product category. Our ambition is to build a €5bn business globally; and be a global top 3 player within this space.

As of today, our brands include Equilibra in Italy; OLLY, SmartyPants, Liquid IV, Onnit, Welly and Nutrafol in the US with ~€1.4bn in turnover. The H&W data and analytics team operates across all these brands in one common data function with the aim of helping these brands to grow through smarter, faster, and better data driven decision making. The data team within H&W was set up in May 2022 and is looking to expand. This is a fantastic opportunity to shape the future of data in a global business unit with the latest technologies in the cloud.

What you will do:

• collaborate with other engineering and business teams within H&W and Unilever to solve complex challenges using data.
• drive forward best practice by building out data frameworks and design patterns to be utilized across the H&W data infrastructure.
• build production ready distributed ETL data pipelines from a wide range of different sources (APIs, flat files, databases, ERP systems etc.)
• build performant and reliable data models to democratize the use of data across H&W
• build integrations to facilitate the use of other technologies in H&W ecosystem (e.g Kinnaxis, Anaplan)
• review and deploy code from other team members as part of a DevOps process, providing coaching and mentoring to junior developers.
• manage access within the environments to ensure data security protocols are being met.
• contribute to architectural and governance decision marking within the H&W data ecosystem.

Who you are:

• Passionate about all things data
• Entrepreneurial Self-starter with the ability to thrive in a fast paced start up environment.
• Fast learner with the ability to pick up new technologies quickly.
• Creative problem solver who thinks outside the box

What you will bring:

• 3-5 years’ Data engineering experience with strong pyspark and SQL skills
• 1+ year Distributed computing experience [databricks/Splunk]
• 1+ year experience working with data in cloud environments [GCP/Azure/AWS]
• Bachelor’s degree required.
• Experience with streaming workloads is a plus
• Experience working within a delta lakehouse in databricks is a plus

Tech Stack:

• Cloud agnostic: Databricks (pyspark, scala, SQL)
• Azure: Azure Data Factory, Azure Logic Apps, Azure Data Lake Storage (ADLS), Azure Blob Storage, Azure Machine Learning, PBI (data modelling, DAX)
• GCP: Google Big Query, Google Cloud Storage
• AWS: S3

Pay: The pay range for this position is $83,200 - $124,700. 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.