Job Description
At Workleap, we’re transforming how teams work by turning scattered knowledge into smart, actionable insights. Our AI-powered products surface the right information at the right time, across platforms and tools our customers use every day. We’re looking for developers in data engineering who thrive on solving complex integration challenges and building secure, scalable pipelines to support a variety of analytics and AI use cases. Your work will enable governed, high-impact usage of data across our ecosystem. You’ll collaborate with data engineers, data scientists, and app developers to ensure data is accessible, reliable, and protected, thus contributing to the foundations of a product that blends intelligence with control. This is a hybrid role that blends data engineering and application development, ideal for those who want to help build and evolve the foundations of a modern data platform while working hands-on with real-world engineering tools. You will play a key role in maintaining and improving our Python-based orchestration stack, supporting both traditional ELT pipelines and AI-driven applications, including RAG-style AI agents, and agentic solutions.
About Workleap
Workleap builds practical employee experience software that makes work simpler, offering products like Workleap and ShareGate to boost engagement and simplify data management.