Levi Strauss & Co.
Fashion
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Levi Strauss & Co.. Skills: Data Engineering, Cloud Solutions, Data Pipelines, Data Modelling. Develop groundbreaking solutions. Develop data pipelines”
Industry & Context.
Problem solving at scale; Root cause analysis
What They're Looking For.
Must Have
10+ years of experience in data engineering, Experience with data warehousing concepts, Experience with dimensional modelling, Experience with ETL best practices, Proficiency in SQL, Proficiency in Python or Java, Hands-on experience with Spark, Hands-on experience with Flink, Hands-on experience with Hive, Experience with one major public cloud platform, Working knowledge in DBT, Working knowledge in PySpark, Working knowledge in Snowflake, Experience with data visualisation tools, Working knowledge of GitHub/Git Toolkit, Working knowledge of CI/CD best practices
Nice to Have
GCP experience is good to have, Familiarity with Agentic AI, Experience with Tableau, Experience with Looker
What You'll Do.
Develop groundbreaking solutions
Develop data pipelines
Perform data transformations
Deliver data products
Provide technical expertise
Provide operational support
Migrate existing workloads
Build advanced cloud solutions
Implement strategies to improve security
Implement strategies to reduce costs
Implement strategies to meet use targets
Design data pipelines
Implement data pipelines
Implement ETL processes
Deliver data products
Understand requirements
Develop tailored solutions
Implement data quality
Implement data governance
Implement best practices
Establish monitoring systems
Perform root cause analysis
Implement preventative solutions
Design efficient solutions
Translate requirements into technical solutions
Plan incremental delivery
How You'll Work.
Team & Collaboration
Cross-continental data community; E-commerce & Consumer Data Domain team; Analysts; Data Scientists; SREs; Other engineers; Technical team members; Non-technical team members
Process & Methodology
Agile, CI/CD
Full Job Description
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future. Join our Data & AI Platform Engineering organisation and lead the charge in transforming the fashion industry. As a Data Engineer, you will develop groundbreaking solutions that support our global business forward while being part of a dynamic, cross-continental data community. You will be an important member of the E-commerce & Consumer Data Domain team. You will work on a cloud native and modern data platform, building data pipelines to building data models and transformations to delivering data products and dashboards to our partners. You will provide technical expertise and operational support to meet the data needs for our businesses. From migrating existing workloads to building advanced cloud solutions, you will help shape and implement strategies to improve security, reduce costs, and meet use targets. You will collaborate with teams including Analysts, Data Scientists, SREs, and other engineers, focusing on delivering high-quality data products that foster a culture of engineering excellence. We are looking for someone who brings thoughtful perspective, creativity, and someone who can solve problems at scale. **About the Job** *Design and implement data pipelines and ETL processes to support large-scale data products. *Develop and deliver efficient data models and products that align with our needs. *Understand requirements and come up with data models and products while developing solutions tailored to analytical and usage requirements. *Implement data quality, governance, and best practices to ensure consistency, accuracy, and reliability across data products. *Establish monitoring systems to keep partner trust throughout the data
Applying for this Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Levi Strauss & Co.?
Real rants from real employees. Read before you apply.