Senior Data Engineer - Scalable Pipelines & Analytics

AlleyCorp; Şile; On-site; TRY 400,000 - 700,000; Full time

Job summary

Marti, Türkiye’s leading mobility platform, seeks a senior Data Engineer to design scalable data pipelines and ensure reliable data for analytics across its ride-hailing and mobility services.

You will work with analysts and scientists to transform raw data into actionable metrics, implement modern cloud data warehousing, and promote best practices in data engineering at scale in a fast-growing environment.

Qualifications

• Bachelor’s degree in a technical field required.
• 3+ years of data engineering experience.
• Strong knowledge of modern cloud-based data pipelines.
• Experience with data warehousing, data lakes, and data modeling.
• Proficiency in Python; Scala/Java a plus.
• Experience with SQL and NoSQL databases.
• Hands-on with Flink, Spark, Kafka; cloud data warehouses.
• Experience with Airflow or Argo for orchestration.

Responsibilities

• Collect data from multiple systems and create a single source of truth.
• Design scalable data pipelines and distributed systems for Marti products.
• Develop patterns to aggregate millions of raw records into metrics.
• Ensure data acquisition and processing reliability.
• Collaborate with analysts and data scientists to meet data needs.
• Document and promote data engineering best practices.

Skills

Python

SQL

Data modeling

Cloud data pipelines

Big data concepts

Education

Bachelor’s degree in a technical field

Tools

Apache Airflow

Argo Workflow

Flink

Kafka

Spark

Redshift

BigQuery

Snowflake

Docker

Kubernetes

Job description

Marti, Türkiye’s leading mobility platform, seeks a senior Data Engineer to design scalable data pipelines and ensure reliable data for analytics across its ride-hailing and mobility services.

You will work with analysts and scientists to transform raw data into actionable metrics, implement modern cloud data warehousing, and promote best practices in data engineering at scale in a fast-growing environment.