Data Engineer: Build AI-Driven Data Pipelines & Insights

Kempen & Co; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Van Lanschot Kempen is seeking a Data Engineer to transform raw data into valuable insights that support critical business decisions. You will join our DAQS department and work with engineers, analysts and quants to empower stakeholders and senior management with data products.

In this role you will design scalable data pipelines using Azure Data Factory, Delta Lake and Databricks, enabling interactive visualizations and AI-enabled applications across Finance and Risk insights teams.

Qualifications

• Experience designing and maintaining cloud data pipelines.
• Ability to translate business needs into data products.
• Strong analytical and communication skills.

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.

Skills

Stakeholder collaboration

Problem solving

Data pipeline design

Tools

Azure Data Factory

Delta Lake

Databricks DLT

Azure Databricks

Job description

Van Lanschot Kempen is seeking a Data Engineer to transform raw data into valuable insights that support critical business decisions. You will join our DAQS department and work with engineers, analysts and quants to empower stakeholders and senior management with data products.

In this role you will design scalable data pipelines using Azure Data Factory, Delta Lake and Databricks, enabling interactive visualizations and AI-enabled applications across Finance and Risk insights teams.