Data Engineer

London HQ on site Until 8/21/2026 First posted March 18, 2026 Last posted March 18, 2026
Job description

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.)

About this role

Summary

Build and maintain data pipelines, manage databases, and use AI/ML to enhance data.

Job title

Data Engineer

Experience level

2+ years

Industry

software

Location requirements

London HQ, on-site 5 days weekly.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

PythonSQLpandasETLdata warehousingproblem-solvingcommunication

Preferred skills

AWSS3RDSLambdaEC2Athenamachine learning frameworksorchestration tools

Specializations

data pipelinesdatabasesETLdata processingmachine learning
Locations

Structured locations inferred from the posting.

Unknown location

On-site