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 data platforms and data warehouses 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
Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium
Experience with big data processing frameworks such as Apache Spark
Familiarity with real-time data processing and streaming architectures for low-latency analytics
Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)
Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect
Strong proficiency in SQL for data manipulation, querying, and optimization
Experience with RESTful APIs
Experience with both RDBMS 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
Familiarity with 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
Tech Stack
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)
Data Integration: Kafka Connect, Debezium
Data Processing: Apache Spark
Streaming & Messaging: Apache Kafka
Workflow Orchestration: Apache Airflow
DevOps & Infrastructure: Docker, Kubernetes, GitLab CI, Terraform
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.
