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DoorFeed

Data Engineer

CompanyDoorFeed
LocationGreater London, England, United Kingdom
Posted At2/13/2026

UK Visa Sponsorship Analytics

Occupation Type
Telecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700 (£21.38 per hour)
Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with DoorFeed. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

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.)