Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
About the Role
We are looking for a Junior Data Engineer to join the Data Engineering team supporting Logitech's global supply chain functions — planning, logistics, sourcing, manufacturing, procurement, and customer service. You will build and maintain data pipelines, models, and internal tooling that power operational and analytical decision-making across these domains.
Responsibilities
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Design, develop, and maintain ELT/ETL pipelines on Snowflake using SQL, Snowpark (Python), and related tooling
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Build and optimize data models in the enterprise data warehouse (EDW) supporting supply chain reporting and analytics
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Develop and support Streamlit-in-Snowflake applications for internal business teams
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Write clean, well-tested SQL for data transformations, aggregations, and quality checks
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Collaborate with supply chain analysts and business users to understand data requirements and translate them into technical solutions
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Monitor pipeline health, troubleshoot data quality issues, and implement automated alerting Participate in code reviews, documentation, and knowledge sharing within the team
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Required Skills
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1+ years hands-on experience with SQL (complex queries, window functions, CTEs)
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Working knowledge of Python (data manipulation with pandas or similar)
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Familiarity with at least one cloud data warehouse (Snowflake preferred; BigQuery, Redshift, or Databricks acceptable)
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Understanding of data warehousing concepts — star/snowflake schemas, slowly changing dimensions, incremental loads
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Basic understanding of version control (Git) Strong problem-solving skills and attention to data accuracy
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Preferred / Nice-to-Have
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Experience with Snowflake features — stages, streams, tasks, dynamic tables, Snowpark
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Exposure to Streamlit or similar Python-based app frameworks
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Familiarity with orchestration tools (Airflow, dbt, or Snowflake Tasks)
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Domain exposure to supply chain processes (order management, logistics, serialization, inventory) Understanding of data governance and access control patterns
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What You'll Learn & Grow Into
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Deep expertise in Snowflake's modern data platform (Snowpark, Cortex AI functions, native apps)
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Supply chain domain knowledge (planning, logistics, manufacturing, procurement)
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End-to-end ownership of data products — from ingestion to self-service applications Collaboration with global cross-functional teams
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Qualifications
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B.E./B.Tech in Computer Science, Information Technology, or related field
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1–2 years of professional experience in data engineering, analytics engineering, or a related data role
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Strong communication skills — ability to work with both technical peers and non-technical stakeholders
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
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