The Role
Build and maintain scalable batch and real-time data pipelines, cloud-native data platforms, APIs, data services, and analytical data models. Ensure reliability, performance, scalability, observability, and cost efficiency through deployment, monitoring, testing, troubleshooting, and incident resolution. Collaborate with data scientists, analysts, product teams, and engineers to deliver trusted data products and support AI/ML infrastructure.
Summary Generated by Built In
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.
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.
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.
Skills Required
- 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
- Understanding of distributed systems, parallel processing, and fault-tolerant architectures
- Strong software engineering skills in Python, Scala, or Java
- Experience with ETL/ELT processes and big data frameworks such as Spark or Flink
- Advanced SQL skills and experience with structured and semi-structured data
- Understanding of data modeling and analytical data structures
- Experience with cloud-native data platforms, data lakes, data warehouses, and lakehouses
- Experience with streaming technologies, Change Data Capture, and workflow orchestration
- Familiarity with AI/ML data infrastructure, LLM 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
- Strong problem-solving skills and clear written and verbal communication in English
- Experience with Go
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The Company
What We Do
We were founded in 2010 with a dynamic and agile start-up spirit. Since then, we have grown into a decacorn, backed by Alibaba, General Atlantic, Softbank, Princeville Capital, and several sovereign wealth funds. We believe that technology is the driver; e-commerce is the outcome. Thanks to our dedicated team, we are one of the top five e-commerce companies in EMEA and one of the fastest-growing e-commerce companies in the world! We deliver more than 1.5 million packages every day across 27 countries. We offer our 30 million customers a flawless shopping experience. Dreaming big is in our DNA: We're gearing up to be the leading global e-commerce platform. As a dynamic and passionate company, we are constantly growing with Trendyol Tech, one of the top R&D centres; Trendyol Express, the fastest growing delivery network; Dolap, the largest second-hand goods platform; and Trendyol Go, our instant food and grocery delivery service. And we’re not done yet! Now, we are on a journey to expand the positive impact we create to international markets. We opened our first international office in Berlin in May 2022 and Amsterdam followed in October 2022 and may others are on the way.
