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Senior Data Engineer — E-Commerce at Scale

Fatima Al-Rashid

Full-time · Senior · Istanbul

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About the role

We are Turkey's second-largest e-commerce marketplace. We have 48 million registered users, 380,000 active merchants, and we process approximately 1.2 million orders on a typical day — significantly more during campaigns like Hepsiburada's discount periods or Trendyol campaigns. Our data infrastructure handles one of the largest consumer transaction workloads in the EMEA region outside the Tier 1 Western platforms. The data engineering team is responsible for the pipelines that move, transform, and serve this data — from real-time event streams that feed our recommendation and fraud systems to the analytical warehouse that supports 200 internal users in product, finance, and operations. We are a growing team and we are hiring senior data engineers who want to work on data problems at real scale. If you have worked on data infrastructure that processes tens of millions of events per day and you want to work on infrastructure that processes ten times that, this is the right size of problem. The role is remote-friendly within Turkey and compatible European time zones.

Responsibilities

  • Own the real-time event ingestion pipeline from our app and web properties through to our stream processing and analytical systems
  • Design and build the data architecture for new marketplace capabilities — new merchant verticals, new payment methods, and international expansion require clean data integration from the start
  • Set engineering standards for the data team: pipeline structure, testing, monitoring, and incident response protocols
  • Lead the performance optimisation of our most business-critical pipelines — the ones where latency and correctness directly affect recommendation quality and fraud detection accuracy
  • Mentor mid-level engineers and contribute to the technical interviews and hiring decisions as the team grows

Requirements

  • 7+ years of data engineering with production experience on high-volume, high-velocity e-commerce or consumer internet data
  • Kafka for real-time event streaming at the scale of a major consumer marketplace — you understand exactly-once semantics, consumer group design, and the operational challenges of Kafka at volume
  • Apache Spark for large-scale batch processing of transaction, behavioural, and merchant data
  • Python for pipeline development, data transformation, and tooling at a senior level — your code sets the standard for the team
  • SQL for the data warehouse layer — complex transformations, query optimisation, and the analytical models that business users depend on
  • GCP — BigQuery, Dataflow, Pub/Sub — our primary cloud platform for both streaming and batch workloads
  • Experience with e-commerce data models: order lifecycle, merchant catalogue, inventory, and the specific data quality challenges of marketplace platforms with hundreds of thousands of sellers

Benefits

  • $68,000 – $88,000 annual salary in USD — we benchmark against international tech salaries and pay in USD to avoid FX exposure for our engineers
  • Full remote within Turkey or compatible time zones
  • 20 days annual leave plus Turkish public holidays
  • Comprehensive private health insurance
  • Equity participation — we are growing rapidly and we want the team to share in that

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$68,000 – $88,000 USD/year

AI Expertise

MLOps & AI Infrastructure

Skills

python sql kafka spark gcp

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