Data Engineer - Data Platform & AI Enablement

Description

The company, which is listed on the NYSE, started as a storage maker and now builds a data platform. It closed fiscal 2026 with $3.7 billion in revenue, its first quarter above $1 billion, and expects growth to keep accelerating into FY27.

The company's current focus covers hyperscalers, AI labs, the AI hardware supply chain, data platform providers and the wider AI ecosystem.

Responsibilities

• The company is moving toward AI-driven, self-service analytics, where users and business units build their own dashboards and intelligent applications. In that setup, carefully curated data that can be trusted matters most.
• The team is hiring a Data Engineer to help lay the groundwork for this. You will design and build scalable Snowflake data pipelines alongside senior engineers who care about your development. Your main job is to deliver curated data assets with solid metadata, clear lineage and defined ownership, so business users can build what comes next with confidence.
• Build the base: develop, test and deploy reliable pipelines into Snowflake using Python (Snowpark) and Apache NiFi to support the company's AI and analytics infrastructure.
• Govern the data: build metadata generation, automated lineage tracking and clear ownership definitions into every pipeline so self-service dashboard builders can trust the data.
• Transform and model: write clean, efficient SQL that turns raw data into curated assets. Help design scalable data models, such as dimensional models, suited to business intelligence and AI workloads.
• Tune performance: monitor pipeline health and improve database performance. Optimise complex queries and Snowflake warehouse settings so data is retrieved quickly and at lower cost.
• Work with data engineers, data scientists and analysts to connect raw data sources with datasets that users can act on.

Requirements

• You have 1 to 3 years of hands-on experience in data engineering, data warehousing, or software development with a strong data focus.
• You are strong in Python. You have used Snowflake's Snowpark framework or are keen to learn it.
• You have practical experience with Apache NiFi for routing, transforming and mediating data between systems.
• You know advanced SQL, relational databases and modern cloud data warehouses. Snowflake experience is preferred.
• You understand data modeling and how to structure data for both analytical reporting and machine learning.
• You are familiar with database performance tuning, query optimisation and reading execution plans.
• You understand data governance, and you can explain why metadata, lineage and ownership matter in a modern data stack.

Conditions

This role is primarily in-office at the Prague office, following company policy. Time off, work travel and other approved leave are exempt.

On-site work.

Benefits

• The company rewards people who think critically, enjoy a challenge and want to lead. It supports growth and gives you room to contribute to meaningful work. It has been recognised as a Fortune Best Workplace in Technology, a Fortune Best Workplace in the Bay Area and a Great Place to Work.
• The company values teamwork and putting shared goals ahead of individual ego.
• Perks include flexible time off, wellness resources and company-sponsored team events. Details are available through the company's benefits page.