Data Engineer
TD SYNNEX · Prague
About TD SYNNEX
As a Fortune 500 global corporation, operating in over 100 countries, TD SYNNEX values its diverse workforce of 22,000 employees (about the seating capacity of Madison Square Garden). As the biggest IT distributor in the world, our mission is to provide top-notch technological solutions, empowering businesses and individuals to navigate the digital world safely and efficiently.
About the Role
Join TD-SYNNEX’s Data Ops team as a Data Engineer and become part of the central engineering force that powers our Customer Data Platform (CDP) serving millions of customers across Europe. You'll be at the heart of our AI and data-driven transformation, designing and operating the shared backend that enables Campaign & Customer Analytics, E-commerce Platform and Partner & Channels Management with data driven insights.
As EU Data Practice Data Engineer, you'll work in direct ownership of critical shared components, ensuring pipeline reliability while supporting business domains that process massive data volumes daily. You'll be part of exciting initiatives directly contributing to TD-SYNNEX’s position as the world's biggest technology distributor.
This role offers the opportunity to work with cutting-edge technologies while delivering measurable business impact through robust, scalable data engineering solutions.
We tackle challenges from areas such as:
- Marketing Campaign Operations - Real-time campaign automation, multi-system integrations, and A/B testing frameworks processing 140K+ monthly tasks
- Customer Analytics - Churn prediction models, real-time scoring systems, and unified customer data platform management
- E-commerce Intelligence - ML-driven product recommendations, personalization engines, and web platform optimization
- Partner & Channel Management - Automated targeting algorithms, vendor rebate processing, and multi-tier relationship systems
- Data Infrastructure - Cross-platform reliability (Snowflake, Databricks, Azure) managing 200+ schemas with 95%+ uptime targets
In this role you will be
- Building AI-powered data platforms with MLOps frameworks, automated monitoring, and intelligent pipeline systems that self-heal and reduce manual work
- Enriching data sets that power analytics and insights by introducing new data sources, while supporting integration of data science analytics outputs to business channels
- Engineering enterprise-scale data pipelines processing 100K+ monthly tasks across real-time campaigns, customer analytics, and e-commerce recommendations
- Developing cutting-edge automation using AI coding assistants and agentic frameworks to eliminate repetitive tasks and boost engineering productivity
- Engineering frameworks to streamline management of AI agents delivering insight from integrated detests to end users
- Enabling environment optimization initiatives implementing DevOps practices that ensure 99% uptime across 200+ database schemas
Skills & knowledge you bring include
- 3+ years of applied data engineering experience
- Strong SQL proficiency with complex joins, subqueries, and data warehousing concepts (ETL/ELT, data modeling)
- Python programming expertise including data wrangling, object-oriented programming, and automation for large-scale datasets
- Cloud data platform experience. Knowledge of Azure cloud stack is a plus.
- Databricks platform knowledge covering Unity Catalog, workflows, and compute management
- Apache Spark/PySpark proficiency: Distributed data processing, DataFrame operations, Spark SQL, and integration with Databricks platform
- DevOps practices, including CI/CD pipelines, automated testing, version control (Git), and deployment strategies
- Stakeholder communication skills to translate business requirements into technical specifications and present insights
- Problem-solving approach with systematic incident resolution and cross-platform integration experience
- BSc/MSc/PhD in Computer Science, AI, or a related STEM field is a plus.
We can offer
- Work on large-scale, production-ready AI systems using modern cloud-based tools.
- Hybrid (3 times per week at the office)
- Opportunity to grow professionally and personally in one of the fastest-developing AI fields.
- Start-up like dynamic, with the stability of the corporation
- Working within the team of enthusiastic data professionals, with wide spread of domain and technical expertise and a true team players always ready to help and share best practices
- Opportunity to constantly learn new things – both technical as well as business context
At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.
What’s In It For You?
- Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
- Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
- Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
- Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
- Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
- Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.
Don’t meet every single requirement? Apply anyway.
At TD SYNNEX, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!