Data Engineer – Big Data & Lakehouse

OBSS; Fatih; On-site; TRY 450,000 - 800,000; Full time

Job summary

OBSS is a leading technology consultancy delivering AI-native product development and technology consulting. This role focuses on data engineering, big data platforms, and production-grade data workflows across cloud and on-prem environments.

The candidate will work with Spark, SQL, Airflow, and modern data lake technologies, collaborating with architects and DevOps to ensure scalable, reliable data pipelines and operational excellence.

Qualifications

• 4+ years of experience in data engineering, big data, or data platform operations.
• Strong hands-on experience with Apache Spark, SQL, and data pipeline development.
• Experience with workflow orchestration and operational support, preferably Apache Airflow.
• Knowledge of data lake/lakehouse architectures and technologies such as Iceberg, Trino, and S3-compatible object storage.
• Experience with JupyterHub and BI/database tools such as Superset or CloudBeaver.
• Experience in monitoring data workflows and troubleshooting performance issues.
• Familiarity with Linux environments and container platforms like Docker, Kubernetes, or OpenShift.
• Experience supporting application installation, configuration, version upgrades, and maintenance.
• Ability to collaborate with architects and DevOps teams on platform integration and production readiness.
• Experience creating runbooks and operational documentation.
• Strong analytical, problem-solving, ownership, and teamwork skills.
• Proficient written and spoken English.

Skills

Apache Spark

SQL

Data pipeline development

English proficiency

Tools

Apache Airflow

Iceberg

Trino

S3-compatible storage

JupyterHub

Superset

CloudBeaver

Docker

Kubernetes

OpenShift

Linux

Job description

OBSS is Turkey's largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in London, Istanbul and Ankara, we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning.

Qualifications:

• 4+ years of experience in data engineering, big data, or data platform operations
• Strong hands-on experience with Apache Spark, SQL, and data pipeline development
• Experience with workflow orchestration and operational support, preferably Apache Airflow
• Working knowledge of data lake/lakehouse architectures and technologies such as Iceberg, Trino, and S3-compatible object storage
• Experience with JupyterHub and at least one BI or database access tool such as Superset or CloudBeaver
• Experience in monitoring data workflows, analyzing logs, troubleshooting failures, and resolving performance issues
• Familiarity with Linux environments and container platforms such as Docker, Kubernetes, or OpenShift
• Experience supporting application installation, configuration, version upgrades, and maintenance activities
• Ability to collaborate with architects and DevOps teams on platform integration, deployment, and production readiness
• Experience creating operational documentation, runbooks, and technical procedures
• Strong analytical, problem-solving, ownership, and teamwork skills
• Good command of written and spoken English.

OBSS is proud to be an equal opportunity workplace and is an affirmative action employer. We make recruiting decisions without regard to race, color, religion, national or ethnic origin, age, gender, sexual orientation, marital status, veteran status or disability status.