Senior Data Engineer in WBAA Discovery

ING Hubs Türkiye; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Vacation days 25-28

Pension scheme

13th month salary

Holiday payment 8%

Hybrid working

Personal growth

Informal environment

Job summary

ING is seeking a Data Engineer for the WBAA Discovery team. You will turn ambiguous business questions into practical analytics solutions and frame problems with stakeholders.

You will build scalable data pipelines, prototype rapidly, and translate findings into clear recommendations with handover packages for building teams. Hybrid work with security and governance aligned to ING standards.

Qualifications

• Proficient in Python and data engineering for scalable pipelines.
• Experience with Spark, Airflow, and data quality frameworks.
• Able to prototype quickly and translate results into actionable recommendations.
• Skilled in cloud-based deployment, CI/CD, and containerization (Docker).
• Familiar with LLM integration, RAG patterns, prompts, and vector databases.

Responsibilities

• Frame business problems with stakeholders and define clear requirements.
• Explore data feasibility and design scalable data pipelines.
• Develop rapid PoCs and prototypes.
• Translate findings into structured handover packages for build teams.
• Collaborate with engineers, data scientists, UX, and product owners in a fast-paced discovery environment.

Skills

Python

Spark

Airflow

Partitioning

Incremental loads

Performance tuning

Medallion architecture

Data quality frameworks

LLMs integration

Retrieval augmented generation

Vector databases

Prompt design

Cloud CI/CD

Docker

Kubernetes

OpenShift

OpenAPI

Education

Bachelor's degree in a relevant field

Tools

Spark

Airflow

Docker

Kubernetes

OpenShift

OpenAPI

Job description

Role description

As a Data Engineer in WBAA Discovery, you will turn ambiguous business questions into practical, feasible analytics solutions.

• Frame (business) problems and clarify requirements with stakeholders.
• Explore data and assess technical feasibility.
• Develop rapid proof of concepts and prototypes.
• Translate findings into clear recommendations and structured handover packages for building teams.

How you work

Adopt a start-up mindset, using short feedback loops, iterative delivery and pragmatic trade-offs while remaining aligned with banking standards for risk, privacy, security and model governance.

Build strong stakeholder relationships and communicate complex ideas clearly.

Navigate ambiguity and rapidly changing priorities by structuring problems, making sound decisions with limited information, and adapting as requirements evolve.

Collaborate effectively with engineers, architects, analysts, data scientists, UX, and product owners in a fast-paced discovery environment.

Do you recognize yourself in this profile:

• Strong Python programming proficiency.
• Data engineering skills: building scalable data pipelines and optimising data processing (e.g., Spark, Airflow, partitioning, incremental loads, performance tuning), as well as medallion architecture and data quality frameworks (GE, Pydantic).
• Demonstrated expertise in AI integration, including working with large language models (LLMs) such as Gemini and Claude, implementing retrieval-augmented generation (RAG) patterns, designing and evaluating prompts, and utilizing vector databases.
• Ability to explore data quickly and assess feasibility (data availability/quality, constraints, and expected business impact).
• Experience building rapid prototypes/PoCs and translating outcomes into clear recommendations and next steps.
• Experience designing and deploying cloud solutions, including CI/CD, containerisation (e.g., Docker).
• Experience with a production-minded development environment (staging, testing, monitoring/observability, reliability).
• Comfortable with rapidly changing priorities of varying degrees of certainty; you proactively structure problems and drive decisions with limited information.

Nice to have (but Not Required):

• Experience in these areas is a bonus: ML model training, validation, and experiment tracking experience.
• GCP expertise.
• Familiarity with discovery process or design sprints; strong story-telling and visualisation skills to drive alignment.
• Experience with Kubernetes and container platforms (e.g., OpenShift).
• Experience building and maintaining high-load APIs and OpenAPI integration/governance.
• Basic networking knowledge and familiarity with event-driven architecture.
• Experience with APIs and service-based architectures (microservices, REST, async programming).
• Comfortable with working in regulated environments.
• Familiarity with agentic frameworks (ADK, LangChain, LangGraph, CrewAI) and multi-agent design patterns.
• Basic understanding of Java/Kotlin for connectivity to ING internal systems.
• Contribution to open-source projects.

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

• 25-28 vacation days depending on contract
• Pension scheme
• 13th month salary
• 8% Holiday payment
• Hybrid working
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues

About us

Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you. Questions? Please visit our Frequently Asked Questions section to find some answers on questions you might have.

We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries.

Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do.

Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward-thinkers, dedicated to making a real impact.

We believe in empowering the people around us and our customers to stay a step ahead. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow.

Your future at ING starts with one application. Ready to join? We’ve got plenty of opportunities to match your skills and aspirations!