Data & AI Engineer – Finance AI Team at prosus

Who We Are At Prosus, we improve everyday life for billions across the globe through cutting-edge technology. As a leading global consumer internet group and one of the world's largest technology investors, we nurture and support industry-leading businesses that empower individuals and enrich communities. We are proud to lead the charge in AI innovation, making significant strides in this transformative field. With operations in over 100 countries, our extensive global portfolio includes over 90 companies. We drive progress in sectors such as online classifieds, food delivery, payments & fintech, and edtech, consistently pushing the boundaries of technology. The Opportunity We are seeking an experienced Data & AI Engineer to join our dynamic Finance AI team. The successful candidate will play a central role in designing, building, and maintaining robust, efficient cloud orchestration systems within our data lake architecture. While the primary focus is on data engineering but also architect the "intelligence layer" - building RAG (Retrieval-Augmented Generation) systems and agentic workflows that automate complex financial analysis. The ideal candidate will possess excellent collaborative skills and be able to work seamlessly with data scientists, technical professionals, and end users across finance functions. We value candidates who have a knack for empowering business partners and guiding finance teams towards a self-service, do-it-yourself approach. Key Responsibilities: Data Infrastructure & Pipeline Engineering • 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. Collaboration and Support: • 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. • Establish efficient workflows with business functions to ensure prompt and high-quality data movement from source systems to production. Essential Skills and Qualifications: • 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). Required Knowledge: • Strong understanding of data engineering best practices, including ETL processes, data quality management, and pipeline monitoring. • Strong problem-solving skills and the ability to troubleshoot complex data pipeline issues. • Familiarity with data governance principles and data privacy regulations like GDPR and CCPA. • Ability to ensure orchestration workflows are built end-to-end for seamless integration with state-of-the-art ML and AI products. Knowledge of ML frameworks and tools (e.g., scikit-learn, MLflow, TensorFlow, or similar) is a plus. • Excellent communication and collaboration skills to work effectively with data scientists, solutions architects, and business professionals. Nice-to-Haves: • Knowledge of metadata systems and data lineage tracking tools. • Affinity for guiding business functions in adopting do-it-yourself methodologies. • An affinity for machine learning engineering or an intention to further develop skills in this area is highly valued. • Experience with data warehousing concepts and platforms like Snowflake, Google BigQuery. • A basic understanding of financial concepts and terminology. What we offer • 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. More About Prosus & Our Culture At Prosus, we’re building businesses that empower communities on a global scale. Guided by our core values, Innovation, Results, People, Impact, and Entrepreneurship, we push boundaries, encourage collaboration, and create an environment where diversity and inclusion thrive. We improve the everyday lives of 2 billion people through the best talent: 30,000 across our owned companies and 200,000 across our group. Our brands, like iFood, OLX, PayU, Stack Overflow, and Tencent, are changing the way people live and work. Looking ahead, we believe AI has the power to transform lives, solve real-world challenges, and unlock opportunities on an unparalleled scale. That’s why our mission is clear: to build an AI-first world that benefits billions. We value curiosity, ownership, and resilience. We hire people who take initiative, embrace change and bring fresh perspectives to everything they do. For a deeper look at our journey and future plans, explore our latest Annual Report. Stay up to date with our latest news to see what makes Prosus stand out. Learn more at www.prosus.com.   Our Diversity & Inclusion Commitment  We respect the dignity and human rights of individuals and communities wherever we operate in the world. Building an inclusive workplace where everyone feels welcome and can thrive is critical for us. We provide access to education, which helps everyone understand the important role they play and the positive impact they can have.