Senior Data Engineer: Scalable Pipelines & Global Impact

Accenture; Fatih; Hybrid; TRY 300,000 - 540,000; Full time

Benefits offered by this job

Hybrid: 3 days in office

Job summary

Accenture is seeking a Senior Data Engineer to join its Data & AI team in Teknopark Istanbul. You will design, develop, and optimize scalable data pipelines and data products, collaborating with architects, scientists, analysts, and other engineers to deliver production-ready implementations.

Responsibilities include building data models, ingestion pipelines, and ensuring data quality while leveraging Azure/AWS/GCP and platforms like Databricks and Snowflake.

Qualifications

• 5+ years of professional experience in Data Engineering.
• Strong Python and SQL experience.
• Experience with distributed data processing tools is a plus.
• Experience designing and implementing data pipelines.
• Knowledge of data warehousing and data lake/lakehouse concepts.
• Experience with cloud-native data services and orchestration tools.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build batch and near-real-time data ingestion and transformation pipelines.
• Create scalable data models and curated datasets for analytics/AI.
• Work with cloud platforms and lakehouse architectures.
• Ensure data quality, monitoring, and error handling.
• Mentor junior/mid-level Data Engineers.

Skills

Python

SQL

Data pipelines

Data modeling

Cloud platforms

CI/CD

Git

Communication

Education

BSc or MSc in CS/Engineering/Data/AI

Tools

Apache Spark/PySpark

Databricks

Snowflake

Azure/AWS/GCP

Job description

Accenture is seeking a Senior Data Engineer to join its Data & AI team in Teknopark Istanbul. You will design, develop, and optimize scalable data pipelines and data products, collaborating with architects, scientists, analysts, and other engineers to deliver production-ready implementations.

Responsibilities include building data models, ingestion pipelines, and ensuring data quality while leveraging Azure/AWS/GCP and platforms like Databricks and Snowflake.