Analytics Engineer

Trendyol; Sarıyer; Hybrid; TRY 350,000 - 700,000; Full time

Benefits offered by this job

Hybrid work model

Flex benefits budget

Wellbeing support

Training budget & LMS

Day-one ownership

International team

Growth opportunities

Team rituals

Job summary

Trendyol Tech is building impactful data platforms to power analytics across the organization. As an Analytics Engineer, you’ll bridge raw data and business insights, owning data models, pipelines, and the single source of truth for dashboards and reports.

You’ll develop Python-based apps and APIs, automate processes, and collaborate with product and engineering teams to deliver scalable data solutions in a hybrid environment.

Qualifications

• Bachelor’s degree or higher in Computer Science, Mathematics, Engineering, or related field.
• 2+ years of experience in analytics engineering, data warehousing, or data modeling.
• Experience with e-commerce data environments is a plus.

Responsibilities

• Design, develop, and maintain scalable data models and metric layers for data products.
• Transform large datasets into clean, documented assets for self-service analytics.
• Own end-to-end data model design and performance within the warehouse.
• Lead standardization of data definitions and metadata to create a single source of truth.

Skills

SQL

Python

FastAPI

Data modeling

Looker/Tableau

Git & CI/CD

REST APIs

Education

Bachelor’s degree or higher in CS/Math/Engineering

Tools

Looker

Tableau

Git

CI/CD

FastAPI

Job description

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 an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.

You will contribute to building internal products and tools that make working with data easier, faster, and more reliable across Trendyol.
You will work on solutions such as SQL analysis services, automated data testing, and self-service reporting platforms. Using technologies such as Python, SQL, FastAPI, you will help automate repetitive processes, improve developer productivity, and enhance the overall analytics experience.

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.

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, 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.