Career Opportunities: Data Engineer (1839)

Who we are…and what we do

LIPTON Teas and Infusions is the biggest tea business in the world, with world class purpose driven brands such as Lipton, PG tips and Pukka. As Lipton T&I we are united in one purpose: growing a world of wellbeing through the regenerative power of plants.

In July 2022, CVC Capital Partners Fund VIII took over the full ownership of the LIPTON Teas and Infusions (formally ekaterra) business from its previous owner, Unilever. As a standalone entity with a dedicated single-category focus, Lipton T&I is even better positioned to lead the tea industry, delivering higher growth and value, and a greater impact on the wider world. With 11 production factories in four continents and tea growing estates in three countries, LIPTON Teas and Infusions is a profitable and growing business whose brands reach hundreds of millions of consumers. It has a presence in over 100 countries.

At LIPTON Teas and Infusions, we work alongside people who put consumer love at the heart of every decision. Diverse minds who celebrate new ideas, share our values and the commitment we have for the wellbeing of all. In return, we create an environment that gives our people space and freedom, where they can grow as leaders. A connected community where ideas can thrive. Where you explore new challenges. Learning all you need to master your field, and even more about yourself.

Be part of this amazing blend. Join our collective and help us grow a better world of wellbeing and a better you.

Job Title: Data Engineer

Job Status: Full-time, Permanent

Work location: Remote

Travel: Limited

Role Summary

As a Data Engineer at LIPTON Teas and Infusions, you will support the development of ETL processes, collaborate with BI developers and data scientists on data & analytics solutions, and manage data ingestion and processing within our data lake. You'll be responsible for ensuring data quality, implementing best practices, and leveraging ways of working like version control and CI/CD. With a strong foundation in data engineering and familiarity with the Microsoft Azure and Databricks platforms, you'll play a key role in enhancing our data infrastructure and optimizing cloud costs. If you have a passion for data engineering and want to accelerate your development curve, we would love to hear from you.

Key Responsibilities

• Supporting the development of data infrastructure to extract, transform, and load (ETL/ELT) data.
• Supporting BI developers and data scientists to build data & analytics solutions.
• Responsible for the ingestion and processing of (medallion architecture) data in the data lake.
• Responsible for periodic data refreshes through data pipelines (scheduled jobs).
• Implementing data management practices to improve data quality and meta data in the data lake.
• Leveraging software engineering best practices such as version control (Git) and CI/CD (DevOps).
• Continuously strengthening the data foundation through updating the data infrastructure.
• Monitoring the cost associated with the cloud environment, data processing, and data computation.

Skills and Experience

• 3+ years of experience in data engineering or a similar role.
• At minimum a bachelor’s degree in computer science, information technology, or a related field.
• Familiarity with the Microsoft Azure Platform (Data Factory, ADLS, etc.).
• Working knowledge of Azure Databricks and Delta Lake.
• Experience with relational databases (e.g., SQL Server).
• Proficiency in coding (e.g., PySpark and SQL).
• Experience with version control (Git) and CI/CD.
• Ability to translate business requirements to code.