Senior Data Engineer: Lakehouse & Real-Time Pipelines

Datazza; Fatih; On-site; TRY 500,000 - 900,000; Full time

Job summary

Datazza is a data engineering and analytics company building scalable data platforms for enterprise clients. We are seeking a Senior Data Engineer to join a large-scale telecom data platform project, working with big data and lakehouse environments, and handling batch and streaming pipelines.

You will design, develop, and optimize ELT/ETL, data models, data marts, and analytics layers using Apache Spark, Kafka, Iceberg/Delta Lake/Hudi, and distributed query engines.

Qualifications

• 5+ years of experience in data engineering, big data, or data warehousing.
• Production-grade data pipelines experience.
• Advanced SQL, complex transformations, performance tuning.
• Strong Python/Scala/Java for data processing.
• Experience with Spark and Kafka in distributed environments.
• Knowledge of lakehouse architectures (Iceberg/Delta/Hudi).

Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build and optimize data processing workloads for telecom data.
• Develop ELT/ETL across lake, lakehouse, and enterprise DW.
• Design analytical data models, data marts, and reusable layers.
• Work with Spark and Kafka for processing and streaming.
• Implement lakehouse structures using Iceberg/Delta/Hudi.
• Develop SQL workloads on Trino, Spark SQL, or similar.
• Integrate relational, NoSQL, APIs, and object storage.
• Perform query optimization, partitioning, and tuning.
• Implement data quality controls, monitoring, and observability.

Skills

Big data

Data pipelines

SQL

Python

Spark

Kafka

Data modeling

ETL/ELT

Distributed systems

Troubleshooting

Team collaboration

Education

Bachelor's or Master's in CS/CE/IS

Tools

Apache Spark

Apache Kafka

Airflow

Iceberg

Delta Lake

Hudi

Trino

Presto

Docker

Kubernetes

Git

Job description

Datazza is a data engineering and analytics company building scalable data platforms for enterprise clients. We are seeking a Senior Data Engineer to join a large-scale telecom data platform project, working with big data and lakehouse environments, and handling batch and streaming pipelines.

You will design, develop, and optimize ELT/ETL, data models, data marts, and analytics layers using Apache Spark, Kafka, Iceberg/Delta Lake/Hudi, and distributed query engines.