Senior/Lead GCP Data Engineer

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,