Data Engineer

Doorfeed; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A technology company in London is seeking a skilled Data Engineer to design, build, and maintain data pipelines. The role involves managing databases and using AI and machine learning to enhance data processing. Applicants should have at least 2 years of experience in data engineering, proficiency in Python and SQL, and strong problem-solving skills. This is a full-time position requiring in-office work 5 days a week.

Qualifications

• Minimum 2 years relevant professional experience.
• Understanding of ETL processes and data warehousing.
• Able to come into the central London office 5 days per week.

Responsibilities

• Maintain and improve the live properties data pipeline.
• 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.

Skills

Python

SQL

pandas

Problem-solving

Communication

Tools

PostgreSQL

AWS services

Machine learning frameworks

Data orchestration tools

Job description

Data Engineer at DoorFeed – Opportunity

We are seeking a skilled data engineer with at least 2 years of experience to join our team in the 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 the live properties data pipeline.
• 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 the 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.).

Seniority Level

Entry level

Employment Type

Full‑time

Job Function

Information Technology

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Location: London, England, United Kingdom