Senior Data Engineer

Senior Data Engineer

Job Description

It is mandatory to apply with a Cv in English

Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact. 

You were made to create Better Care for a Better World: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results.

You want to be part of a performance culture dedicated to building technology for a purpose that matters.

Here, you’ll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world.  It starts with YOU. 

About You

In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center.


* Work with Technical architects, Product Owners, and Business teams to translate requirements into technical design for data modelling and data integration.


* Demonstrate deep background in data warehousing, data modelling and ETL/ELT data processing patterns


* Design and develop ETL/ELT pipelines with reusable patterns and frameworks


* Design and build efficient SQLs to process and curate the data sets in HANA, Azure, and Snowflake


* Design and review data ingestion frameworks leveraging Python, Spark, Azure Data Factory, Snowpipe, etc.,


* Design and build Data Quality models and ABCR frameworks to ingest, validate, curate, and prepare the data for consumption


* Understand the functional domain, business needs and able to identify the gaps in the requirements proactively prior to implementing solutions


* Work with platform teams to design and build processes for automation in pipeline build, testing and code migrations.


* Collaborate with Data Scientists to build and maintain scalable pipelines in Azure Data Factory and Databricks that support AI/ML modelling and model training workflows.


* Support the integration of Generative AI by building robust pipelines for high-quality training data and implementing vector databases to power Retrieval-Augmented Generation (RAG) workflows.


* Demonstrate exceptional impact in delivering projects, products and/or platforms in terms of scalable data processing and application architectures, technical deliverables, and delivery throughout the project lifecycle.


* Provide design and guiding principles on building data models and semantic models in Snowflake – enabling true self-service


* Responsible for ensuring the effectiveness of the ingestion and data delivery frameworks and patterns.


* Build and maintain data development standards and principles, provide guidance and project specific recommendations as appropriate


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