Data Engineer - Data Platform & AI Enablement
Data Engineer at Pure Storage's Prague office building Snowflake data pipelines with Python (Snowpark) and Apache NiFi, delivering curated, well-governed data assets with metadata, lineage, and clear ownership for self-service analytics and AI. On-site role focused on SQL transformations, data modeling, and performance tuning.
- Compensation
- Not disclosed
- Location
- Prague, Czech Republic
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 1–3 years of hands-on experience in data engineering, data warehousing, or software development with a heavy data focus
- Strong proficiency in Python
- Hands-on experience with (or strong desire to learn) Snowflake's Snowpark framework
- Practical experience with Apache NiFi for data routing, transformation, and system mediation
- Strong working knowledge of advanced SQL, relational databases, and modern cloud data warehouses (Snowflake preferred)
- Solid understanding of data modeling principles for analytical reporting and machine learning consumption
- Familiarity with database performance tuning, query optimization, and execution plan analysis
- Understanding of data governance concepts (metadata, lineage, ownership) in a modern data stack
- Work from the Prague office (primarily in-office environment)
Full description
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
Everpure is entering a new era of AI-driven, self-service analytics, where our users and business units are empowered to build their own dashboards and intelligent applications. In this decentralized, AI-first world, highly curated, trustworthy data becomes paramount.
We are looking for a Data Engineer to help us build the foundation for this new ecosystem. You will work closely with our senior engineering team, who are invested in your growth, to design and implement scalable Snowflake data pipelines. Your primary focus will be on delivering curated data assets backed by robust metadata, transparent data lineage, and clear ownership, so our business users can confidently build the tools of tomorrow.
WHAT YOU’LL DO
- Build the Foundation: Develop, test, and deploy robust data pipelines into Snowflake using Python (Snowpark) and Apache NiFi to support our evolving AI and analytics infrastructure.
- Curate & Govern: Embed metadata generation, automated data lineage tracking, and strict data ownership definitions into every pipeline to guarantee data trust for self-service dashboard creators.
- Transform & Model: Write clean, efficient SQL to transform raw data into curated assets. Assist in designing scalable data models (e.g., dimensional modeling) optimized for business intelligence and AI workloads.
- Optimize Performance: Monitor pipeline health and tune database performance. Optimize complex queries and Snowflake warehouse configurations to ensure fast, cost-effective data retrieval.
- Collaborate: Work alongside a collaborative team of data engineers, data scientists, and analysts to bridge the gap between raw data sources and actionable, user-facing datasets.
WHAT YOU BRING
- Experience: 1–3 years of hands-on experience in data engineering, data warehousing, or software development with a heavy data focus.
- Programming: Strong proficiency in Python. Hands-on experience with (or a strong desire to learn) Snowflake’s Snowpark framework.
- Practical experience with Apache NiFi for data routing, transformation, and system mediation.