Senior Consultant - Forward deployed Engineer | Finance, Data en Agentic AI
Ernst and Young2 days ago
Amsterdam, NetherlandsSenior
Responsibilities
- Work directly with business users, domain experts, and technology teams to define problems, solution designs, data requirements, acceptance criteria, and measurable outcomes.
- Build source-system connections, ingestion pipelines, transformations, governed data models, reconciliations, data-quality checks, and traceability to source records.
- Develop Lakehouse and analytical solutions using Microsoft Fabric or comparable platforms such as Databricks and Snowflake.
- Build reporting products, analytical tools, applications, and agents that use governed data, APIs, and enterprise tools to support approved workflows.
- Integrate solutions with ERP, accounting, planning, and operational systems, including supporting implementations, data migration, and validation.
- Define agent permissions, evaluation criteria, exception handling, and human approval points with domain and control owners.
- Use Claude Code, GitHub Copilot, and comparable coding agents for development, documentation, test generation, and regression analysis while independently validating outputs.
- Own version control, testing, release preparation, deployment, monitoring, operational support, and continuous improvement.
- Work with client IT, security, and platform teams and turn successful implementations into reusable connectors, components, control patterns, and deployment playbooks.
Requirements
- At least 3 years of professional experience in data platform engineering, software engineering, analytics engineering, or technology consulting, including taking solutions into production and supporting their operation.
- A university Master's degree in Digital Business Administration, Business Economics, Financial Economics, Finance, Accounting & Control, or a related field.
- Strong Python and SQL skills with experience in data modelling, APIs, and enterprise integration.
- Hands-on Microsoft Fabric experience, including Lakehouses, ingestion pipelines, transformations, and SQL or Python/PySpark workloads; alternatively, substantial Databricks or Snowflake experience transferable to Fabric.
- Understanding of orchestration, incremental processing, data quality, security, performance, and operational monitoring, with practical use of GitHub or Azure DevOps.
- Experience using AI coding tools and building AI applications or agents connected to enterprise data and tools, including evaluating reliability, investigating failures, and implementing permissions and human oversight.
- Working knowledge of finance areas such as planning and forecasting, performance management, financial reporting, consolidation, financial control, Treasury, or Risk.
- Ability to manage ambiguous requirements and unfamiliar enterprise environments, communicate technical and business trade-offs, and remain hands-on while leading a workstream.
- Ability to collaborate directly with business users, technical specialists, and senior stakeholders in English; Dutch is advantageous.
- Preferred qualifications include experience with Azure, Power BI, semantic modelling, ERP or finance implementations, data migration or validation, regulated financial services, consulting delivery, 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 is also considered relevant.
Benefits
- Competitive salary depending on experience and qualifications, plus a pension plan, holiday allowance, and performance- and development-based annual bonus.
- Laptop and phone for work and personal use, plus a monthly internet allowance.
- 29 days of annual leave with the option to purchase additional days.
- Mobility budget with options including a lease car, discounted public transport subscription, or app-based transport arrangements.
- Hybrid working from the office, a client site, or home, with a well-equipped home office.
- Opportunity to work up to 20 days per year from abroad and exchange three national holidays for non-national holidays.
- Training and courses supporting professional, personal, and leadership development.
- Access to the OpenUp wellbeing platform for employees and their families, including psychologists, lifestyle experts, and wellbeing sessions.
- Internal networks, social activities, and a collaborative and inclusive work environment.
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.