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Senior/Lead GCP Data Engineer

Istanbul, Turkiye

Pay
Pay not listed
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Apply at ING Group

What you’ll work on

Full posting

As a GCP Data Engineer, you will design, build, and optimize scalable data platforms and pipelines on Google Cloud Platform.

Your work will directly support AI-driven products, machine learning initiatives, Agentic AI solutions, and advanced analytics capabilities across ING.

  • Design, build and maintain scalable cloud-native data pipelines on GCP

  • Build and optimize data ingestion, transformation and storage for large datasets

  • Develop data models supporting analytics, reporting, ML and AI use cases

  • Implement automated testing and CI/CD for data engineering work

  • Monitor and improve platform reliability, observability and performance

From the employer’s posting
As a GCP Data Engineer, you will design, build, and optimize scalable data platforms and pipelines on Google Cloud Platform.
Your work will directly support AI-driven products, machine learning initiatives, Agentic AI solutions, and advanced analytics capabilities across ING. You'll collaborate closely with Data Engineers, Data Scientists, Analytics Engineers, ML Engineers, and Software Engineers to create reliable, production-ready data assets that enable business impact.
Design, develop, and maintain scalable cloud-native data pipelines on Google Cloud Platform
Build and optimize data ingestion, transformation, and storage solutions for large-scale datasets
Develop reliable and efficient data models supporting analytics, reporting, machine learning, and AI use cases
Implement modern software engineering practices, including automated testing and CI/CD
Monitor and improve platform reliability, observability, and performance

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree or equivalent practical experience
  • Experience designing data models and working with relational or distributed database systems
  • Experience building scalable cloud-native data solutions
  • Excellent communication skills and ability to collaborate in globally distributed teams
  • Understanding of software engineering best practices, including testing, CI/CD, version control, and code reviews
  • Hands-on experience building complex data pipelines using PySpark, Airflow, or similar technologies

Preferred experience

  • Experience with infrastructure provisioning and deployment automation
  • Experience with monitoring and observability platforms such as ELK Stack
  • Familiarity with MLOps architectures and operational practices
  • Experience with large-scale data transformation and processing
Qualification wording
Bachelor's degree or equivalent practical experience
Experience designing data models and working with relational or distributed database systems
Experience building scalable cloud-native data solutions
Excellent communication skills and ability to collaborate in globally distributed teams
Understanding of software engineering best practices, including testing, CI/CD, version control, and code reviews
Hands-on experience building complex data pipelines using PySpark, Airflow, or similar technologies
Experience with infrastructure provisioning and deployment automation
Experience with monitoring and observability platforms such as ELK Stack
Familiarity with MLOps architectures and operational practices
Experience with large-scale data transformation and processing

Tools in this posting

  • Python
  • SQL
  • BigQuery
  • dbt
  • GCP
  • Kafka
  • Airflow
  • PySpark
Source — Tool mentions in context
- Hands-on experience building complex data pipelines using PySpark, Airflow, or similar technologies - Strong programming skills in Python and SQL - Experience designing data models and working with relational or distributed database systems
- Hands-on experience with Google Cloud Platform services such as: - BigQuery - Cloud Storage
- Familiarity with technologies such as Kafka, Pub/Sub, or Dataflow is a plus - Experience with dbt for data transformation and modelling is considered an advantage Roles and Responsibilities
Role Summary As a GCP Data Engineer, you will design, build, and optimize scalable data platforms and pipelines on Google Cloud Platform. Your work will directly support AI-driven products, machine learning initiatives, Agentic AI solutions, and advanced analytics capabilities across ING. You'll collaborate closely with Data Engineers, Data Scientists, Analytics Engineers, ML Engineers, and Software Engineers to create reliable, production-ready data assets that enable business impact.
- Understanding of software engineering best practices, including testing, CI/CD, version control, and code reviews - Hands-on experience with Google Cloud Platform services such as: - BigQuery
- Exposure to AI-powered products including Agentic AI systems, Chatbots, or Voicebots - Experience working with Vertex AI, Dialogflow, or other AI-related GCP services - Experience with event-driven or streaming data architectures
Roles and Responsibilities - Design, develop, and maintain scalable cloud-native data pipelines on Google Cloud Platform - Build and optimize data ingestion, transformation, and storage solutions for large-scale datasets
- Experience with event-driven or streaming data architectures - Familiarity with technologies such as Kafka, Pub/Sub, or Dataflow is a plus - Experience with dbt for data transformation and modelling is considered an advantage
- Excellent communication skills and ability to collaborate in globally distributed teams - Hands-on experience building complex data pipelines using PySpark, Airflow, or similar technologies - Strong programming skills in Python and SQL
Data Platform Evolution Our current platform is primarily focused on scalable batch-oriented data processing built on PySpark and Airflow within GCP. As our platform evolves, we continue exploring opportunities around event-driven architectures, AI-enabled data products, and modern cloud-native engineering patterns. Engineers who bring experience with streaming technologies, real-time ingestion, or AI-enabled platforms will have opportunities to contribute to the future direction of our data ecosystem.

About ING Group

With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.

In the employer’s words · Read in context

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Status in our records
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First seen by us
Oct 27, 2026 · 2 days ago
Recorded sightings
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Last seen by us
Oct 30, 2026

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Job description

View original posting ↗

Do you enjoy turning complex data challenges into scalable, reliable solutions?

Are you passionate about building modern cloud-native data platforms that power analytics, AI, and machine learning products used by millions of customers?

At ING Hubs Türkiye, we're looking for a GCP Data Engineer who wants to build the data foundations behind advanced analytics, intelligent automation, machine learning solutions, and emerging AI products across ING's international network.

You'll work at the intersection of cloud engineering, data platforms, analytics, and AI, helping data scientists, ML engineers, and business teams access trusted, high-quality data at scale.

Role Summary

As a GCP Data Engineer, you will design, build, and optimize scalable data platforms and pipelines on Google Cloud Platform.

Your work will directly support AI-driven products, machine learning initiatives, Agentic AI solutions, and advanced analytics capabilities across ING. You'll collaborate closely with Data Engineers, Data Scientists, Analytics Engineers, ML Engineers, and Software Engineers to create reliable, production-ready data assets that enable business impact.

The data platforms you build contribute to solutions such as customer intelligence, financial crime detection, risk analytics, automation, and other advanced analytics products used across ING's European operations. Data quality, reliability, and platform performance have meaningful impact on real customer experiences.

Work Model

At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work.

Our hybrid way of working is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together at our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.

We also offer additional flexibility during the summer period, with remote working opportunities throughout August, allowing colleagues to spend more time where they feel most productive while staying connected to their teams.

As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to solutions that create impact across the bank.

About the Team

You will join a globally connected team focused on delivering scalable data solutions across ING.

The team is passionate about innovation, collaboration, and continuous learning, leveraging cloud-native technologies to create reliable and future-ready data products. Together, we enable business value through data, analytics, AI, and emerging intelligent automation capabilities.

You will work in a highly collaborative environment where engineers, data scientists, analysts, and product teams jointly build solutions that power ING's data-driven transformation.

About You

We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.

Minimum Qualifications

  • Bachelor's degree or equivalent practical experience

  • Excellent communication skills and ability to collaborate in globally distributed teams

  • Hands-on experience building complex data pipelines using PySpark, Airflow, or similar technologies

  • Strong programming skills in Python and SQL

  • Experience designing data models and working with relational or distributed database systems

  • Understanding of software engineering best practices, including testing, CI/CD, version control, and code reviews

  • Hands-on experience with Google Cloud Platform services such as:

  • BigQuery

  • Cloud Storage

  • Cloud Composer

  • Experience building scalable cloud-native data solutions

Preferred Qualifications

  • Curious mindset and passion for continuous improvement and knowledge sharing

  • Experience with infrastructure provisioning and deployment automation

  • Experience with monitoring and observability platforms such as ELK Stack

  • Familiarity with MLOps architectures and operational practices

  • Experience with large-scale data transformation and processing

  • Exposure to AI-powered products including Agentic AI systems, Chatbots, or Voicebots

  • Experience working with Vertex AI, Dialogflow, or other AI-related GCP services

  • Experience with event-driven or streaming data architectures

  • Familiarity with technologies such as Kafka, Pub/Sub, or Dataflow is a plus

  • Experience with dbt for data transformation and modelling is considered an advantage

Roles and Responsibilities

  • Design, develop, and maintain scalable cloud-native data pipelines on Google Cloud Platform

  • Build and optimize data ingestion, transformation, and storage solutions for large-scale datasets

  • Develop reliable and efficient data models supporting analytics, reporting, machine learning, and AI use cases

  • Collaborate with cross-functional teams to translate business requirements into technical solutions

  • Implement modern software engineering practices, including automated testing and CI/CD

  • Monitor and improve platform reliability, observability, and performance

  • Support AI, machine learning, and MLOps initiatives by delivering trusted and accessible data assets

  • Contribute to engineering excellence, knowledge sharing, and continuous improvement across the team

Data Platform Evolution

Our current platform is primarily focused on scalable batch-oriented data processing built on PySpark and Airflow within GCP. As our platform evolves, we continue exploring opportunities around event-driven architectures, AI-enabled data products, and modern cloud-native engineering patterns.

Engineers who bring experience with streaming technologies, real-time ingestion, or AI-enabled platforms will have opportunities to contribute to the future direction of our data ecosystem.

Equal Opportunity

Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.

What We Offer at ING Hubs Türkiye

At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here's what you can expect when you join our organization:

Be Yourself, Be an ING'er

  • Welcome Leave: Enjoy 14 days of welcome leave, even in your first year!

  • Career Opportunities: Self-driven career paths and growth opportunities.

  • Personal Growth: Challenging work and continuous development opportunities.

  • Dynamic Environment: Informal, vibrant, and collaborative working culture.

  • Innovation Culture: Opportunity to contribute ideas and work with PACE methodology.

  • Global Exposure: Participation in international projects and communities.

  • Health Care: Comprehensive private health insurance for you and your family.

  • Private Pension Plan

  • Meal Card

  • Transportation Allowance

  • MultiSport Membership

  • English Language Development Support

How to Apply

Click the application button on our careers page and submit your application through Workday. We look forward to learning more about your experience and potential.

About ING

With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.

Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?

Then there is no better place to invest your talents than at ING.

Join us. Apply today.

About ING Hubs

Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.

Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.

ING Hubs Türkiye core capabilities, Retail Analytics and Tech, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.

Discover ING Hubs Türkiye

ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.

We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues.

Let's meet!

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Location & working pattern

Istanbul, Turkiye

At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work. Our hybrid way of working is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together at our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote. We also offer additional flexibility during the summer period, with remote working opportunities throughout August, allowing colleagues to spend more time where they feel most productive while staying connected to their teams. As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to solutions that create impact across the bank.
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