Data Engineering Jobs in Türkiye
There are 84 open Data Engineering jobs in Türkiye on freehire right now. 21 of them were posted recently. The skills employers ask for most often are cloud, python and sql.
Most requested skills
- cloud 55%
- python 51%
- sql 50%
- data-pipelines 37%
- gcp 37%
- analytics 36%
- ai 35%
- data-quality 35%
How the work is done
- Remote 8 · 10%
- Onsite 7 · 8%
- Hybrid 3 · 4%
Visa sponsorship offered in 0% of the 3 postings that state a position on it.
Seniority
- Senior 32
- Lead 11
- Staff 2
- Middle 1
Who is hiring
- 1000+ employees 15
- 11-50 employees 5
- 201-500 employees 2
- 51-200 employees 2
- 501-1000 employees 1
Senior ETL Developer
Senior ETL Developer builds and optimizes data pipelines using SSIS and Python to maintain and modernize an existing ETL ecosystem toward a cloud-based Data Lakehouse architecture.
Data Engineer
Builds and automates data pipelines, scoring models, and AI-driven collection strategies using Python, SQL, and Qlik Sense to optimize debt recovery for a wealth-management firm.
Forward Deployed Data Engineer (Integration)
Build and deploy data pipelines that bridge customer warehouses to Hilbert’s AI growth engine, using ClickHouse, Snowflake, BigQuery, and orchestration tools like Dagster and Airbyte.
Data Engineer
Build and maintain ETL pipelines, APIs, and data warehouses to integrate and process data from multiple sources for a global software services provider.
Senior/Lead GCP Data Engineer
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Data Engineer: ETL, APIs & Cloud Data
Builds APIs, ETL pipelines, and data integrations for a data warehouse, ensuring GDPR compliance and CRM aggregations using SQL, Python, and cloud platforms.
GCP Data Engineer — Scalable Cloud Data Platforms
Designs and builds scalable Google Cloud data pipelines and platforms to support analytics and AI/ML products for a global bank.
Hybrid Data Engineer for AI Growth Engine
Builds and maintains data pipelines and infrastructure to feed AI-driven growth models, integrating tools like ClickHouse, Dagster, and Airbyte.
Data Engineer (GCP/BigQuery)
Design and execute cloud data migrations to GCP/BigQuery, build ETL pipelines with Python/PySpark, and automate infra with Terraform for enterprise clients.
Data Engineer - Cloud Migrations (GCP/BigQuery)
Data Engineer migrates on-premises data to GCP/BigQuery, validates data quality, and collaborates with cross-functional teams to deliver enterprise digital products.
Data Engineer
Build and maintain ETL pipelines in AWS using SQL and Python to transform financial data for analytics and business tools.
Big Data Engineer Blockchain
Build and maintain blockchain data pipelines, aggregate on-chain data into a data lake, and ensure data quality with Python, SQL, and ETL workflows.
Engineering Leader - Data Platform & ML Ops (Remote)
Lead a team building and scaling the data platform and ML operations that power analytics and AI-driven products for a partner company.
Senior Backend & Data Engineer - Next-Gen RAG Platform
Builds a deterministic RAG system using Apache Beam pipelines, FastAPI services, and Google Cloud Spanner while integrating with graph databases and Temporal workflows.
Lead Backend & Data Engineer – AI Platform
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
GCP Data Engineer: Build Scalable Pipelines & AI Enablement
Design and build scalable GCP data pipelines to enable analytics and AI initiatives for a global banking group.