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Trendyol Group

Data Engineer

Trendyol Group

. Design, build, and maintain scalable batch and real-time data pipelines and processing systems .

Posted 11/5/2026full-timeIstanbul • TurkeyJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines and cloud-native data platforms, with strong proficiency in ETL/ELT processes and big data frameworks. Possesses advanced SQL skills and a solid understanding of data modeling and analytical structures.

Highest-signal resume keywords
Data Pipeline DevelopmentCloud-Native Data PlatformsETL/ELT ProcessesBig Data Processing FrameworksAdvanced SQL Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonScalaJavaSQLData ModelingETL/ELTBig Data FrameworksStreaming TechnologiesChange Data CaptureWorkflow Orchestration
Soft Skills
Problem-SolvingClear Communication
Tools & Technologies
DockerKubernetesCI/CDInfrastructure as CodeAutomated Testing
Industry Keywords
Data EngineeringDistributed SystemsParallel ProcessingFault-Tolerant ArchitecturesData LakesData WarehousesLakehousesAI/ML Data Infrastructure

Tech Stack

Tools & technologies
CloudDistributed SystemsDockerETLJavaKubernetesPythonScalaSparkSQLGo

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable batch and real-time data pipelines and processing systems
  • Design, build, and evolve cloud-native data platforms for data ingestion, processing, analytics, and observability
  • Build APIs and data services exposing processed data to downstream applications and teams
  • Develop data models and warehousing solutions for analytics, reporting, and downstream applications
  • Collaborate with data scientists, analysts, product teams, and engineering teams to deliver trusted data products
  • Monitor, optimize, and maintain pipelines and processing systems for performance, reliability, scalability, and cost efficiency
  • Own data services and pipelines end-to-end, including deployment, monitoring, troubleshooting, and incident resolution
  • Bridge raw data sources and actionable business intelligence

Requirements

What you’ll need
  • 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 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

Benefits

Comp & perks
  • Hybrid working model with flexibility, including work-from-abroad opportunities and a summer working model
  • Customisable FlexBenefits budget, including meal allowance, health insurance extendable to spouse or children, fuel support, and Trendyol shopping credits
  • Location-based in-house doctors, psychologist and dietitian support, and HPV vaccination provision
  • Personalised annual training allowance and learning opportunities through the LMS and in-person sessions
  • Responsibility from day one
  • Diverse, international team environment
  • Opportunities for professional growth, hands-on experience, expert guidance, and global mentoring
  • Team rituals, events, and social activities