Analytics Engineer

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. 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.

Responsibilities

Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.

Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).

Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.

Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a "single source of truth." Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.

Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.

Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.

Develop Python-based applications, APIs, and automation solutions to simplify repetitive tasks and support self-service analytics capabilities.

Participate in the end-to-end development lifecycle, including requirement analysis, development, testing, deployment, troubleshooting, and continuous improvement.

Identify opportunities to automate manual processes, improve existing tools, and enhance the user experience of internal products

Expected Qualifications

Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.
2+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.

Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.

Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).

Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.

Experience applying software engineering best practices to data, including version control (Git) and CI/CD.

Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.

An agile mindset for data product development.

Good programming skills in Python and a solid understanding of software development fundamentals, including object-oriented programming, clean code, and basic design principles.

Basic understanding of REST APIs and backend service development concepts, preferably with hands-on experience in FastAPI or similar frameworks

Familiarity with object-oriented programming language is a plus.