Senior Consultant - Forward deployed Engineer | Finance, Data en Agentic AI

If you have a strong engineering background and want to work directly with clients at the intersection of Finance, Data and Agentic AI, this role is a perfect fit. EY’s Finance Consulting practice is looking for a Senior Consultant: Forward Deployed Engineer. As organizations move toward more intelligent and autonomous ways of working, disconnected systems, fragmented data and limited engineering capacity can prevent them from turning ideas into reliable solutions. Strong data foundations, well-designed integrations and disciplined software delivery are essential for making analytics and AI part of everyday business operations. In this hands-on role, you will work directly with client teams to understand their operations, connect enterprise systems and data, and build solutions that support business decisions and approved workflows. The CFO organization is our initial anchor, covering planning, performance management, financial control, reporting and Treasury, with opportunities extending into Risk and wider business functions. You will take defined problems from discovery through architecture, development, testing, production deployment and operational adoption. Your remit covers both the foundations that make AI reliable and the applications and agents that put those foundations to work. What you will do Understand the business and define the solution Work directly with business users, domain experts and technology teams to understand processes, decisions, controls and operational challenges. Investigate existing systems and data to establish what is happening and where intervention will create value. Translate business needs into solution designs, data requirements, acceptance criteria and measurable outcomes. Use short development cycles and user feedback to validate assumptions and improve the solution. Build and connect enterprise data platforms Develop source-system connections, ingestion pipelines, transformations and governed data models. Build Lakehouse and analytical solutions using Microsoft Fabric, or comparable platforms such as Databricks and Snowflake. Implement reconciliations, data-quality checks and traceability from business outputs back to source records. Contribute to enterprise system implementations, integration design, data migration and validation. Deliver analytics, applications and agentic workflows Build reporting products, analytical tools and applications that support business decisions and operations. Develop agents that use governed data, APIs and enterprise tools to investigate issues, support analysis and execute approved workflows. Integrate solutions with existing ERP, accounting, planning and operational systems. Define agent permissions, evaluation criteria, exception handling and human approval points alongside domain and control owners. Use AI throughout the engineering lifecycle Apply tools such as Claude Code, GitHub Copilot and comparable coding agents to development, documentation, test generation and regression analysis. Provide agents with clear specifications, business context, constraints and verifiable acceptance criteria. Review generated code and independently validate results before deployment. Develop repeatable approaches to agent-assisted delivery while maintaining engineering accountability. Deploy, operate and improve Own version control, testing, release preparation, deployment and monitoring. Work with client IT, security and platform teams to meet production requirements. Support adoption, resolve operational issues and improve solutions using evidence and user feedback. Turn successful implementations into reusable connectors, components, control patterns and deployment playbooks.

Engineering Experience: Relevant hands-on experience in data platform engineering, software engineering, analytics engineering or technology consulting, with evidence of personally taking solutions into production and supporting their operation. Programming & Integration: Strong Python and SQL skills, with experience in data modelling, APIs and enterprise integration. Modern Data Platforms : Hands-on delivery experience with Microsoft Fabric, including Lakehouses, ingestion pipelines, transformations and SQL or Python/PySpark workloads; alternatively, substantial Databricks or Snowflake experience and the ability to transfer those skills into Fabric. Engineering Discipline : Understanding of orchestration, incremental processing, data quality, security, performance and operational monitoring, combined with practical use of GitHub or Azure DevOps for repositories, code review, automated testing and deployment. Applied AI & Agentic Engineering: Experience using AI coding tools within a disciplined development process and building AI applications or agents connected to enterprise data and tools. You can evaluate reliability, investigate failures and implement appropriate permissions and human oversight. Business & Domain Understanding: Working knowledge of one or more areas such as planning and forecasting, performance management, financial reporting, consolidation, financial control, Treasury or Risk. You can translate business rules into data structures, calculations, workflows and controls. Delivery Ownership: Experience working through ambiguous requirements and unfamiliar enterprise environments. You communicate technical choices, business implications and delivery trade-offs clearly and remain hands-on while leading a workstream. Stakeholder Collaboration : Ability to work directly with business users, technical specialists and senior stakeholders in English. Dutch language skills are considered an advantage. You have a university Master's degree in (Digital) Business Administration, Business Economics, Financial Economics, Finance, Accounting & Control, or a related field. You have at least 3 years of professional experience Preferred qualifications Experience with Azure, Power BI and semantic modelling. Experience with ERP, accounting or planning implementations and data migration or validation. Experience in regulated financial services or other complex enterprise environments. Consulting delivery experience and collaboration with technology vendors and client engineering teams. A completed university degree in Computer Science, Data Science, Engineering, Information Management, Business Analytics, Finance or a related field. We welcome engineers who have developed strong domain expertise and finance technology professionals who can demonstrate substantial engineering capability. You should bring depth in a core discipline and the ability to work across the delivery lifecycle. Mastery of every listed platform is not expected.

A competitive salary that reflects your role and responsibilities, depending on experience and qualifications. Plus, a solid pension plan for the future. In addition to your salary, you’ll receive holiday allowance and an annual bonus (based on performance and development). A laptop and phone for both work and personal use, and a monthly internet allowance. 29 days of annual leave to recharge and unwind, plus the option to buy extra days. With the mobility budget, you decide how you travel. Choose a lease car, a discounted public transport subscription, or arrange transport easily via our app. At EY, we care about a healthy work-life balance. Hybrid working makes this easier. Whether you’re working from the office, at a client, or from home, we’ll make sure you have a well-equipped home office. The opportunity to work up to 20 days per year from abroad. The option to swap 3 national holidays for non-national ones. You’ll have the space to grow both personally and professionally. Whether you want to deepen your expertise, develop your personality, or improve your leadership style, we offer a broad range of trainings and courses. Your well-being is our priority. We believe that when you feel good, you perform better. That’s why you’ll have access to the OpenUp wellbeing platform (including for your family). You can easily connect with psychologists and lifestyle experts within 36 hours and take part in wellbeing sessions. A strong focus on teaming and various internal networks where you can join all kinds of social activities. A positive work atmosphere and good collaboration with colleagues contribute to your overall happiness at work. All this within an environment where our core values of integrity, inclusiveness, and respect are central. We think it’s important that you can be yourself and fully develop into the best version of yourself. Curious about all our benefits? Click Here

Our Finance Data & Agentic solution bridges the gap between traditional finance functions and advanced technology architecture. We partner with blue-chip and global enterprises to design the blueprints for modern finance environments, ensuring data flows seamlessly from core ERPs to sophisticated planning and analytics engines. As AI fundamentally continues to reshape the finance function, this competency represents the primary strategic growth area within EY Finance Consulting. Our Finance Consulting team is a dynamic and diverse team, with team members coming from different countries. We work closely together and have an open culture. Join us and work on projects that drive meaningful change.

Amsterdam Our Amsterdam office is located at the Zuidas: a bustling area full of companies. In our Cross Towers, we welcome up to 1,500 people every day. For a breathtaking view of the city, head to the 22nd floor. Collaboration takes on a new meaning in our Wavespace, a high-tech environment that connects clients and colleagues virtually across the globe.

At EY, we’re building a better working world by creating long-term value for clients, people, society, and the planet—and by helping build trust in the capital markets. With the power of data, AI, and advanced technology, EY teams help organizations tackle the most pressing issues of today and tomorrow. From assurance to consulting, tax to strategy and transactions, our teams deliver across the full spectrum of professional services. Backed by deep industry knowledge, a global, multidisciplinary network, and diverse ecosystem partnerships, EY operates in more than 150 countries and territories.