Data Engineer

About the role

Trendyol Tech is looking for a Data Engineer who acts as the bridge between raw data sources and actionable business intelligence. You will build batch and real-time data pipelines, contribute to modern data architectures and build data platforms, working closely with data scientists, analysts, product teams and other engineering teams. You take end-to-end ownership of your solutions, ensuring their reliability, scalability, performance and cost efficiency.

Key responsibilities

• Design, build and maintain scalable batch and real-time data pipelines and processing systems.
• Build and evolve cloud-native data platforms covering ingestion, processing, analytics and observability.
• Develop APIs and data services to expose processed data to downstream applications and teams.
• Develop data models and warehousing solutions supporting analytics and reporting.
• Collaborate with data scientists, analysts and product teams to deliver trusted data products.
• Maintain pipelines so they perform reliably, scale well and run efficiently.
• Own deployment, monitoring, troubleshooting and incident resolution of data services and pipelines.

Required profile

• Bachelor's degree in Computer Science, Engineering, MIS, Mathematics or a related field.
• 2+ years of experience as a Data Engineer, Data Developer or in a similar data-focused role.
• Experience building cloud-native data platforms, data lakes, data warehouses and lakehouses.
• Experience with streaming technologies, CDC and workflow orchestration.
• Familiarity with AI/ML data infrastructure, LLM-based applications, RAG architectures and semantic grounding for AI agents.
• Strong problem-solving skills and clear written and verbal communication in English.

Required skills

• Solid understanding of distributed systems, parallel processing and fault-tolerant architectures.
• Python, Scala or Java (Go is a plus).
• ETL/ELT processes and big data frameworks such as Spark or Flink.
• Advanced SQL and structured and semi-structured data formats.
• Docker, Kubernetes, CI/CD and Infrastructure as Code.
• Automated testing, data quality validation, monitoring and observability.

What we offer

• Hybrid working model with work-from-abroad opportunities and a summer working model.
• Customisable FlexBenefits budget, including meal allowance, health insurance and shopping credits.
• Well-being support: in-house doctors, psychologist and dietitian support, and HPV vaccination provision.
• Training allowance and access to the Learning Management System.
• A diverse, international team across offices in Berlin, Amsterdam, Dubai and beyond.