GCP Data Engineer: Build Scalable Pipelines & AI Enablement

ING Hubs B.V. Turkiye

Fatih

On-site

TRY 450,000 - 750,000

Full time

14 days+

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Benefits offered by this job

Be Yourself
Welcome leave 14 days
Career growth
Self-driven career paths
Continuous development
Informal culture
Innovation culture
Global exposure
Private health insurance
Private pension
Meal card
Transportation allowance
MultiSport membership
English language development support

Job summary

ING is seeking a GCP Data Engineer to design, build, and optimize cloud-native data pipelines on Google Cloud Platform. You will collaborate with data engineers, data scientists, analysts, and software engineers across international teams to enable analytics, AI initiatives, and data-driven customer experiences.

You'll apply software engineering best practices, design scalable data models, and contribute to modern data architectures that power insights at scale.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • Excellent communication skills and collaboration with globally distributed teams.
  • Hands-on experience building data pipelines using PySpark and Airflow.
  • Strong programming skills in Python and SQL.
  • Experience designing data models and working with relational or distributed databases.
  • Understanding of software engineering best practices, including CI/CD and testing.
  • Hands-on experience with GCP services such as BigQuery, Cloud Storage, and Cloud Composer.

Responsibilities

  • Design, develop, and maintain scalable cloud-native data pipelines on Google Cloud Platform.
  • Build and optimize data ingestion, transformation, and storage for large-scale datasets.
  • Develop reliable data models supporting analytics, reporting, and AI use cases.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Implement software engineering best practices, including automated testing and CI/CD.
  • Monitor and improve data platform performance, reliability, and observability.
  • Support AI, ML, and MLOps initiatives by delivering trusted data assets.
  • Contribute to continuous improvement and engineering excellence within the team.

Skills

PySpark
Airflow
Python
SQL
BigQuery
Cloud Storage
Cloud Composer
CI/CD
Testing
Data Modeling
GCP

Education

Bachelor’s degree

Job description

ING is seeking a GCP Data Engineer to design, build, and optimize cloud-native data pipelines on Google Cloud Platform. You will collaborate with data engineers, data scientists, analysts, and software engineers across international teams to enable analytics, AI initiatives, and data-driven customer experiences.

You'll apply software engineering best practices, design scalable data models, and contribute to modern data architectures that power insights at scale.

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