Job Title: Data EngineerSalary: £50,000 – £90,000 + benefitsLocation: West London - Hybrid (3 days p/w in-office)Tech: AWS, Snowflake, Airflow, DBT, PythonThe Company:Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside.We are seeking a Data Engineer to play a critical role in building scalable, automated data infrastructure. You will help shape the future of their data architecture, ensuring high-quality ingestion, robust pipelines, and reliable systems that can handle millions of data rows per second.What You’ll DoDesign, build, and maintain data ingestion pipelines (APIs, CSVs, high-frequency loads).Automate data ingestion and processing workflows with Snowflake and modern orchestration tools.Implement redundancy, backups, and DB triggers to ensure reliability and data integrity.Work with Python to build scalable data solutions.Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS.Define and enforce data hygiene practices (ontology, storage, artifacts, version control).Reduce engineering load per person through automation and efficient design.Collaborate closely with a small, ambitious team to deliver end-to-end data solutions.Support the company’s global expansion by enabling scalable data systems across regions.What We’re Looking ForStrong experience in data engineering and architecture roles.Deep knowledge of SQL, Snowflake (or similar DWHs), and Python.Proven track record of building robust, automated ETL/ELT pipelines.Familiarity with distributed systems and handling large-scale data (millions of rows/sec).Experience with data hygiene best practices: data models, versioning, reproducibility.Hands-on experience with cloud platforms (AWS preferred).Excellent problem-solving skills and a “get stuff done” attitude.Nice to HaveExperience with Grafana or similar monitoring/observability tools.API endpoint design & maintenance.Prior experience in fast-scaling startups or international data systems.Why Join UsWork directly with leadership (CDSO and core team) to influence the company’s data vision.Opportunity to build and scale new data architecture from the ground up.Own greenfield projects and shape the data engineering roadmapBe part of an ambitious, global expansion journey (Europe, U.S.).Competitive compensation and growth opportunities.