The Opportunity:
We are seeking a skilled data engineer with at least 2 years experience to join our team in our London office. You will design, build, and maintain data pipelines transforming data from hundreds of thousands of property listings every day and use AI and machine learning to enhance our data.
Key Responsibilities:
Maintain and improve our data pipeline of live properties.
Manage PostgreSQL databases.
Use data processing tools to transform data from hundreds of different sources.
Use AI and Machine Learning to enrich our data.
Build data ingestion pipelines from scratch from a variety of different data sources.
Required qualifications:
Proficient in Python, SQL, pandas with a good general understanding of data engineering technologies.
Understanding of ETL processes and data warehousing.
Strong problem-solving and communication skills.
Minimum 2 years relevant professional experience.
Able to come into our central London office 5 days per week.
Preferred Qualifications:
Comfortable with learning and applying new & unfamiliar technologies to ensure best solution is implemented.
Experience with AWS services (S3, RDS, Lambda, EC2, Athena etc.).
Experience with machine learning frameworks.
Experience with data orchestration tools (Airflow, Dagster etc.)
Top Skills
What We Do
DoorFeed is building Europe’s leading investment and operating platform dedicated to institutional residential real estate investors. It streamlines both investment and asset management services with unparalleled access to deals, data and operating partners. DoorFeed's activities span across multiple residential asset types, geographies and investment strategies to meet the diverse needs of institutional investors. DoorFeed is backed by leading VC and PE.
