Data engineer in AI discovery

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