Data Engineer - Finance & Risk Insights

Are you excited to apply your data engineering skills and make a real impact? As a Data Engineer at Van Lanschot Kempen, you will play a key role in transforming raw data into valuable insights that support critical business decisions. You will join our forward-thinking Data, Analytics & Quant Solutions (DAQS) department, working alongside a team of engineers, analysts and quants. Together, you will support a wide range of stakeholders, including Bankers, Regional Directors, Business Controllers, Risk Managers and senior management.

In this role, you will become part of the Finance & Risk Insights (FRI) team. FRI works with financial and risk data to enable the Finance, Risk and Control teams to deliver reliable management information that helps steer the bank.

Using advanced technologies such as Databricks and Microsoft Azure, you will design and optimize data pipelines and information products that drive meaningful improvements in our commercial, financial and risk management processes. You will have the freedom to experiment with the latest tools, share ideas and contribute to innovation across our platforms.

We believe the way organizations work with data is fundamentally changing. That is why we do more than build reports. We continuously explore new ways of making data accessible and actionable for stakeholders through interactive visualizations, data products and AI-driven solutions.

Your work will empower colleagues across the organization to make better-informed decisions. Our multidisciplinary and agile environment encourages continuous learning, with opportunities for mentoring, hackathons and access to the latest data engineering training programs. Are you passionate about developing yourself as a data engineer, building solutions that matter and joining an open, curious team that is shaping the future of finance? If so, we would love to hear from you.

Your responsibilities

• Develop and maintain scalable data pipelines using Azure Data Factory, Delta Lake, Databricks DLT and workflows.

• Enable stakeholders to access and leverage data through interactive insights, visualizations, data products and AI-driven applications.

• Collaborate with business stakeholders, data providers and platform teams to optimize data-driven products and solutions.

• Present and advocate robust data-driven solutions to decision-makers.

• Contribute to innovation by evaluating and applying new technologies, AI capabilities and modern ways of working where they add value.

• You're energized by complex problems, enjoy getting to the root cause of issues, and like working with others to reach lasting solutions.