Senior Data Engineer — Real-Time Mobility Pipelines

BiTaksi; Fatih; On-site; TRY 4,458,000 - 6,439,000; Full time

Benefits offered by this job

Private health insurance

Udemy Business subscription

O'Reilly subscription

Academic support

Gym/networks membership

Meal card

Birthday & life event gifts

Team/company events

Job summary

BiTaksi is seeking a Senior Data Engineer in Istanbul to shape the data backbone powering urban mobility. You will architect scalable pipelines, ensure data quality and lineage, and collaborate with data scientists on real-time features and models.

You will work in a high-concurrency environment, leveraging Spark, Kafka, Flink, and Airflow, with cloud-native data infrastructure (AWS/GCP/Azure). This role emphasizes governance, performance, and scalable data assets.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong Python and SQL skills.
• Experience with big data technologies (Spark, Kafka, Flink).
• Experience with data governance, lineage, and quality frameworks.

Responsibilities

• Architect end-to-end data pipelines (ETL/ELT) processing millions of events daily.
• Hands-on coding and optimization of data transformations.
• Establish and implement data governance standards including data quality and lineage.
• Collaborate with Data Scientists to provide features and datasets for real-time ML models.
• Tune and scale the data infrastructure (AWS/GCP, Spark, Airflow).
• Work with Product/Engineering to design robust data schemas and analytics assets.

Skills

Python

SQL

Spark

Kafka

Flink

Airflow

Dagster

Data governance

Data lineage

Cloud platforms

Education

Computer Science or related field

Tools

Airflow

Dagster

Job description

BiTaksi is seeking a Senior Data Engineer in Istanbul to shape the data backbone powering urban mobility. You will architect scalable pipelines, ensure data quality and lineage, and collaborate with data scientists on real-time features and models.

You will work in a high-concurrency environment, leveraging Spark, Kafka, Flink, and Airflow, with cloud-native data infrastructure (AWS/GCP/Azure). This role emphasizes governance, performance, and scalable data assets.