Data & AI Engineer – Finance AI Team

Prosus Group

Data & AI Engineer responsible for cloud orchestration systems within Finance AI team. Collaborating with data scientists, building data lakes, and implementing AI-driven workflows.

Posted 5/4/2026full-timeAmsterdam • 🇳🇱 NetherlandsMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAnsibleApacheAWSAzureCloudGoogle Cloud PlatformGraphQLPythonSQLTerraform

About the role

Key responsibilities & impact

Design, implement, and maintain scalable cloud-based data lake and pipelines, leveraging Databricks for robust, high-performance solutions.
Develop efficient data pipelines for ingesting, processing, and storing large datasets, incorporating best practices for data quality, lineage tracking, and metadata management - specifically optimized for LLM consumption.
Enforce data quality checks, monitor pipeline health, and continuously optimize reliability, scalability, and performance.
RAG & Agentic Systems: Move beyond "naive RAG" to implement hybrid search, re-ranking, and contextual compression to handle dense financial documents and tables.
Agentic Workflows: Design and deploy multi-agent systems using LangGraph, CrewAI, or Agent Bricks.
Evaluation: Implement rigorous "LLM-as-a-Judge" frameworks to quantify accuracy, faithfulness, and latency.
Deploy security layers to ensure AI outputs comply with financial regulations and privacy standards.
Create reusable "Agent templates" that empower Finance business partners to build their own safe AI-driven workflows.
Work closely with AI teams and key stakeholders across finance to understand data requirements for AI systems and ensure their smooth deployment.
Provide support and guidance on data engineering best practices and tools to other team members.
Guide business functions and personnel in developing do-it-yourself capabilities for data tasks.

Requirements

What you’ll need

3-5 years of experience in data engineering, with a focus on data lake and cloud infrastructure and a proven shift into GenAI implementation (RAG, Agents, or LLM-integrated apps).
Experience with Databricks and building data pipelines in cloud environments (e.g. AWS, Azure, or GCP).
Experience with data orchestration tools such as Apache Airflow, Prefect, Luigi or Dagster.
Proficiency in SQL and Python (Async, FastAPI) or other programming languages to develop custom automation scripts, tables, and solutions. You should be a "power user" of AI-native IDEs like Cursor/claude code to accelerate development and refactoring.
Experience implementing MCP Servers to expose databases and local tools to LLMs. Traditional APIs: Strong experience with REST/GraphQL/FastAPI for building the deterministic "hooks" that AI agents call.
Experience with CI/CD and DevOps practices, version control (e.g., Git), and infrastructure as code (e.g., Terraform, Ansible).

Benefits

Comp & perks

Global Impact: Play a crucial role in shaping the future of global commerce.
Growth Opportunities: Expand your expertise through diverse global challenges and unique opportunities.
Innovative Culture: Join a forward-thinking team that values strategic insights and fosters continuous innovation.
Creative Environment: Engage in work that encourages creativity and constant improvement.
Collaborative Atmosphere: Benefit from autonomy and self-management in a supportive and positive workspace.
Hybrid Work: Experience the satisfaction of our flexible model tailored to balance work and life.
Competitive Compensation: Enjoy a salary package that reflects your skills and contributions.
Comprehensive Benefits: Enjoy a range of benefits including gym reimbursement, health insurance for family members, a fully employer-funded pension, free Dutch lessons, bike plan, discount platform, lunch allowance, free office snacks, access to 300k+ online courses, and full public transport reimbursement with an NS Business Card.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata lakecloud infrastructuredata pipelinesSQLPythonApache AirflowRESTGraphQLCI/CD

Soft Skills

collaborationguidancesupportcommunicationproblem-solving