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
• 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.

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.

Benefits

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.
• Meal Card
• MultiSport Membership

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.