Data engineer in AI discovery

ING Nederland; Amsterdam; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid working

Pension scheme

Holiday pay

Vacation days

Professional growth

Job summary

ING Nederland ищет опытного Data Engineer для WBAA Discovery. Вы превратите бизнес-вопросы в практические аналитические решения, работая над интеграцией ИИ и LLM, созданием прототипов и передачи знаний командам разработки.

Кандидат будет тесно взаимодействовать с инженерами, архитекторами и продакт-менеджерами в условиях стартап-подхода и соблюдения банковских требований к риску и безопасности.

Qualifications

• Опыт разработки масштабируемых конвейеров данных и оптимизации обработки данных.
• Опыт интеграции ИИ, LLM, RAG, в том числе с векторными базами.
• Умение быстро оценивать доступность данных и влияние на бизнес.
• Опыт проектирования и развёртывания облачных решений (CI/CD, Docker).

Responsibilities

• Формулировать бизнес-задачи и уточнять требования у заинтересованных сторон.
• Исследовать данные и оценивать техническую осуществимость.
• Разрабатывать быстрые PoC и прототипы.
• Переводить выводы в понятные рекомендации и handover-пакеты для команд.
• Сотрудничать с инженерами, аналитиками, продакт-оуарз в условиях discovery.

Skills

Python

Spark

Airflow

Data pipelines

Tools

Docker

Kubernetes

OpenShift

LangChain

Job description

Описание:

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. 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.

Задачи:

• 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.
• 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.

Требования:

• 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.
• Будет плюсом: 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

Условия:

• 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