Data Engineer

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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 create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.

Responsibilities

  • Build and maintain scalable data pipelines for batch and real-time data processing.
  • Work with cloud-native data platforms to ensure reliable, cost-effective data processing solutions
  • Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams.
  • Collaborate with cross-functional teams to define data architecture and infrastructure requirements.
  • Monitor and improve pipeline performance, scalability, and resilience.

    • Expected Qualifications

  • Bachelor's degree in Computer Science, Engineering or related Information Technologies field
  •  2+ years of experience as a Data Engineer or in a similar data-focused role
  • Strong Software Engineering skills
  • Experience with Scala or Java programming language
  • Experience with Go programming language is a plus
  • Solid experience with at least one big data processing framework such as Apache Spark or Apache Flink
  • Experience with cloud-native data infrastructure (GCP preferred) to ensure reliable, cost-effective solutions
  • Familiarity with real-time data processing and streaming architectures for low-latency analytics
  • Familiarity with modern data architectures including data lakes, data warehouses (BigQuery, Snowflake), and lakehouse table formats (Apache Iceberg, Delta Lake)
  • Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Temporal
  • Strong proficiency in SQL for data manipulation, querying, and optimization
  • Experience with RESTful APIs
  • Experience with both SQL and NoSQL databases
  • Experience with testing frameworks, including unit testing and data quality validation for data pipelines
  • Experience with containerization technologies such as Docker and Kubernetes
  • Knowledge of CI/CD pipelines for data engineering and infrastructure-as-code practices
  • Strong problem-solving skills and the ability to work independently and collaboratively
  • Strong English communication skills, written and verbal

    • Technology Stack

  • Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)
  • Big Data Processing: Apache Spark (primary), Apache Flink
  • Streaming & Messaging: Apache Kafka
  • Workflow Orchestration: Apache Airflow
  • DevOps & Infrastructure: Docker, Kubernetes, GitLab CI, Terraform
  • Cloud Platform: Google Cloud Platform (BigQuery, GCS, GKE, Dataproc, Cloud Functions, Composer, Monitoring, Logging)
  • Version Control: Git
    • What We Offer
    - Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
    - Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
    - Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
    - Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
    - Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.
    - A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
    - Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
    - Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.

    Take the Next Step
    If this role excites you, apply today, we look forward to taking the next step with you.
    Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
    Apply Now