Data Engineer

Trendyol; Fatih; Híbrido; TRY 350.000 - 750.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model

Learning & training budget

Well-being support

Descripción de la vacante

Trendyol is seeking a Data Engineer to bridge raw data sources and business intelligence. You will design scalable batch and real-time data pipelines, and help build cloud-native data platforms and data services.

You will work with data scientists, analysts, and product teams to create reliable data products with strong performance, reliability, and cost efficiency. You will own end-to-end data solutions, from ingestion to deployment, and contribute to data modeling, warehousing, and

Formación

• Bachelor's degree or equivalent in a technical field.
• 2+ years of data engineering or similar data-focused experience.
• Solid understanding of distributed systems and fault-tolerant architectures.

Responsabilidades

• Design, build, and maintain scalable batch and real-time data pipelines.
• Develop cloud-native data platforms for ingestion, processing, and analytics.
• Build data APIs and services for downstream applications.
• Develop data models and warehousing solutions for analytics and reporting.
• Collaborate with data scientists, analysts, and product teams to deliver trusted data products.
• Monitor, optimize, and maintain data pipelines for performance and cost efficiency.
• Own data services and pipelines end-to-end including deployment and incident resolution.

Conocimientos

Python

Java

Scala

Spark

Flink

SQL

Data modeling

Cloud platforms

Docker

Kubernetes

CI/CD

Infrastructure as Code

English communication

Educación

Bachelor's degree in Computer Science/Engineering/MIS/Math

Herramientas

Docker

Kubernetes

CI/CD tooling

Terraform/CloudFormation

Descripción del empleo

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.

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.

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.