Senior Data Engineer: Real-Time Pipelines & Data Governance

Coderspace; Fatih; In loco; TRY 350.000 - 550.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private health insurance

Meal card

Monthly IstanbulCard reimbursement

Discounted gym membership

Descrizione del lavoro

bitaksi is seeking a Senior Data Engineer to design and maintain high-performance data pipelines powering urban mobility insights. You will work with a modern stack (Python, Spark, Kafka, Airflow) to process millions of events daily and ensure data quality, lineage, and security across platforms.

You will collaborate with Data Scientists to deliver reliable features for real-time models and optimize cloud-based infrastructure (AWS/GCP/Azure) for scale.

Competenze

• 5+ years of experience as a Data Engineer or in a similar role.
• Strong Python/SQL and experience building robust data pipelines.
• Hands-on with ETL/ELT and data governance frameworks.

Mansioni

• Architect, build, and maintain scalable, end-to-end data pipelines processing millions of events daily.
• Hands-on coding and optimization for production-grade data transformations.
• Establish and enforce data governance, lineage, quality, and security across platforms.
• Collaborate with Data Scientists to provide reliable datasets for real-time ML models.
• Tune big data environments (AWS/GCP/Azure) to scale with user growth.
• Bridge business requirements to robust data schemas and analytical assets.

Conoscenze

Python

SQL

Data pipelines

Data governance

Big Data tools

Cloud platforms

Formazione

Computer Science degree

Strumenti

Spark

Kafka

Flink

Airflow

Dagster

Great Expectations

dbt

AWS

GCP

Azure

Descrizione del lavoro

bitaksi is seeking a Senior Data Engineer to design and maintain high-performance data pipelines powering urban mobility insights. You will work with a modern stack (Python, Spark, Kafka, Airflow) to process millions of events daily and ensure data quality, lineage, and security across platforms.

You will collaborate with Data Scientists to deliver reliable features for real-time models and optimize cloud-based infrastructure (AWS/GCP/Azure) for scale.