Senior Data Engineer in WBAA Discovery
Key Skills
Job Description
First time published: 13-10-2026 Think Forward! Our goal is to help people advance in life and business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you. What department? Within Wholesale Banking Advanced Analytics (WBAA), the Discovery team is a fast-paced group that partners with different areas of ING’s Wholesale Bank to explore, shape and validate AI opportunities. The goal is to define, prioritize, and validate the most impactful AI opportunities for WB, making the most efficient use of our limited resources. During the idea gathering we check on business impact, re-use, scalability and strategic fit. The ideas with the highest potential and priority will move to an AI discovery phase, where they will be evaluated for desirability, viability, and feasibility. We help stakeholders clarify problems, assess data and technical feasibility, and create rapid prototypes that demonstrate business value. Successful initiatives are then prepared for building and enabling ING’s Wholesale Banking teams. Role Description As a Data Engineer in WBAA Discovery, you will turn ambiguous business questions into practical, feasible analytics solutions. We are looking for a senior data engineer with a strong interest in AI, particularly LLMs. What You Will Do 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): Even if you don't meet every requirement, we encourage you to apply. 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. The Benefits Of Working With Us At ING Include 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. Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
Core Responsibilities
Clarify business problems with stakeholders, explore data and technical feasibility, and build rapid prototypes to validate AI and analytics opportunities. Communicate findings as recommendations and structured handover packages for teams responsible for implementation.
Requirements
Requires strong Python and data engineering skills, including scalable pipelines, data quality practices, and production-minded cloud development. Candidates should also have hands-on experience integrating LLMs, implementing RAG, prototyping solutions, and working effectively amid ambiguity and changing priorities.
Benefits
- 25–28 Vacation Days
- Pension Scheme
- 13th Month Salary
- 8% Holiday Payment
- Hybrid Working
- Personal Growth Opportunities
- Challenging Work
- Informal Working Environment
About ING Nederland
Industry: Banking
Company size: 10,001+ employees
ING is a global bank with a strong European base. With 14,500 employees in the Netherlands, we’re one of the biggest employers in the country. Our research tells us that we stand out here because of our great working culture, competitive benefits and interesting work. We believe in sustainable progress for all, not just for the few. We aim to support and contribute to economic, social and environmental progress. Because progress doesn’t start with perfection. It starts with people, their ideas and their drive to make things better. Collaborative and inclusive We’re proud of our diverse and multinational make-up. Joining the ING team means contributing to a collaborative and inclusive culture, having a hybrid way of working and being part of the positive impact that we strive to make on people and the planet. We don’t believe in one ‘perfect’ way of doing things. The best solutions emerge when people work together, stay curious and learn from each other. You’ll get responsibility from day one, along with the trust and freedom to make your own choices and contribute your perspective. Purpose ING’s purpose is empowering people to stay a step ahead in life and in business. This purpose guides us in everything we do. Rather than telling our people what to do, we trust them and encourage them to carve out their career in a way that works best for them. We want to enable people to grow in their own way, without being held down. Because doing great things starts by doing your thing. So, are we offering the perfect job? Maybe not. But you might find something better: a place where you can be yourself, keep growing and make an impact through the work you do.