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Posted 5 days ago

Data EngineerTrendyol · Istanbul

Data Engineer

IstanbulHybridFull-time

AI Summary

Designs, builds and maintains scalable batch and real-time data pipelines and cloud-native data platforms, exposing processed data through APIs and warehouse models for analytics teams and products.

About this role

About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.

About the Role
As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will develop robust batch and real-time data pipelines, contribute to modern data architectures, and build data platforms. You will work closely with data scientists, analysts, product teams, and other engineering teams to build high-quality data products and platforms. You will take end-to-end ownership of your solutions, ensuring their reliability, scalability, performance, and cost efficiency.

Responsibilities

  • Design, build, and maintain scalable batch and real-time data pipelines and processing systems.
  • Design, build, and evolve cloud-native data platforms that enable data ingestion, processing, analytics, and observability across the organization.
  • Build APIs and data services to expose processed data to downstream applications and teams.
  • Develop data models and warehousing solutions that support analytics, reporting, and downstream applications.
  • Collaborate with data scientists, analysts, product teams, and other engineering teams to deliver trusted data products.
  • Monitor, optimize, and maintain data pipelines and processing systems to ensure high performance, reliability, scalability, and cost efficiency.
  • Take end-to-end ownership of data services and pipelines, including deployment, monitoring, troubleshooting, and incident resolution.

    • Expected Qualifications

  • 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.
  • Solid understanding of distributed systems, parallel processing, and fault-tolerant architectures.
  • Strong software engineering skills in at least one of Python, Scala, or Java (Go is a plus).
  • Hands-on experience with ETL/ELT processes and big data processing frameworks such as Spark or Flink.
  • Advanced SQL skills and experience with structured and semi-structured data formats.
  • Strong understanding of data modeling concepts and analytical data structures.
  • Experience in developing cloud-native data platforms and modern data architectures, including data lakes, data warehouses, and lakehouses.
  • Experience with streaming technologies, Change Data Capture (CDC), and workflow orchestration.
  • Familiarity with AI/ML data infrastructure, LLM-based applications, RAG architectures, and semantic grounding for AI agents.
  • Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code.
  • Experience with automated testing, data quality validation, monitoring, and observability practices.
  • Strong problem-solving skills and clear written and verbal communication in English.

    • Skills

    AirflowChange Data CaptureCI/CDData LakeData QualityData WarehouseDockerELTETLFlinkGOInfrastructure As CodeJavaKubernetesLakehouseObservabilityPythonScalaSparkSQL

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