Data Engineer
- Published on
About the Role
As a Lead Data Engineer at Immersum, you will take ownership of the design and delivery of scalable, high-performing data pipelines that drive core product features and insights. You will collaborate with product, data science, and engineering teams to ensure that the data processes are efficient and effective. This position requires leading a team of 5 Data Engineers, providing guidance and support, and setting an example for high standards in data engineering practices.
Responsibilities
- Lead the build of reusable, production-grade data flows
- Design high-performance data processing and streaming systems
- Define best practices in data modeling, integration, and storage
- Ensure code quality, performance, and maintainability at scale
- Collaborate across product, data science, and engineering teams
- Lead a small team of 5 data engineers
About the Candidate
The ideal candidate will possess strong leadership experience in data engineering with a deep expertise in technologies such as AWS, Snowflake, Airflow, and DBT. A pragmatic, product-first approach to building data systems is essential, alongside excellent communication skills and a solid understanding of agile data development lifecycles.
About the Company
Immersum is engaging with a leading PropTech company aiming to revolutionise the property sector's understanding of people, places, and data. By leveraging advanced data science and location intelligence, they assist major organisations in making smarter, faster decisions.
Company Culture and Benefits
Immersum offers a unique opportunity for you to be a key player in a fast-growing, mission-driven PropTech scale-up. You will have the opportunity to own greenfield projects and shape the data engineering roadmap while enjoying excellent career growth opportunities and building innovative products that redefine an entire industry.