Lead Data Engineer

Job Title: Lead Data Engineer (leading a team of 4).

Salary: £100,000 – £130,000 + benefits

Location: West London - Hybrid (3 days p/w in-office)

Tech: AWS, Snowflake, Airflow, DBT, Python

The 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 Lead Data Engineer to lead our growing data team (3–4 people) and 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 Do

• Design, 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 For

• Strong 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 Have

• Experience with Grafana or similar monitoring/observability tools.
• API endpoint design & maintenance.
• Prior experience in fast-scaling startups or international data systems.

Why Join Us

• Work directly with leadership (CEO 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 roadmap
• Be part of an ambitious, global expansion journey (Europe, U.S.).
• Competitive compensation and growth opportunities.