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Data Engineer – Data Ops Team

Prague, Czech Republic, CZ💼 Full-time🗓 2026-09-25

Core

Design and operate shared backend components for TD SYNNEX's Customer Data Platform (CDP) serving millions of customers across Europe, enabling Campaign & Customer Analytics, E-commerce, and Partner Management.

Role type

Senior IC Data Engineer (Data Ops)

Builds

AI-powered data platforms, enterprise-scale data pipelines, and MLOps frameworks for real-time campaign automation and customer analytics.

Domain

Retail technology distribution, AI/ML, Cloud Data Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

SQL (complex joins, subqueries, data warehousing), Python (data wrangling, OOP, automation), Apache Spark/PySpark, Databricks (Unity Catalog, workflows), DevOps (CI/CD, Git), Cloud platforms (Azure)

Preferred skills

Azure cloud stack, MLOps frameworks, AI coding assistants, agentic frameworks

Technologies

Snowflake, Databricks, Azure, Apache Spark, PySpark, Git

Responsibilities

Build AI-powered data platforms with MLOps frameworks and automated monitoring; Enrich data sets by integrating new sources and data science outputs; Engineer enterprise-scale data pipelines processing 100K+ monthly tasks; Develop automation using AI coding assistants to eliminate repetitive tasks; Enable environment optimization initiatives implementing DevOps practices for 99% uptime.

Seniority

Mid-Senior, hands-on IC

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