Data Engineer: AI Pipelines & Data Quality (Equity, Hybrid London)

Senzo; England; Hybrid; GBP 60,000 - 70,000; Full time

Benefits offered by this job

Competitive salary

Equity

Hybrid working

Growth opportunities

Job summary

A mission-driven technology company in London is looking for an Entry-level Data Engineer to build and maintain data pipelines that aid product and analytics. This role involves integrating data sources into a reliable data layer, ensuring quality checks, and supporting future AI initiatives. Candidates should be strong in Python and SQL, ideally with experience in AWS. Competitive salary of £60,000 - £70,000 plus equity, and hybrid work model offered.

Qualifications

• Strong experience with Python and SQL.
• Solid data engineering fundamentals and experience building production data pipelines.
• Experience working in AWS or another major cloud environment.

Responsibilities

• Build and maintain data pipelines that ingest, transform, and serve data.
• Integrate multiple internal and external data sources into a clean, reliable data layer.
• Help establish best practices around data modelling and quality checks.

Skills

Python

SQL

AWS

Data engineering fundamentals

Tools

Fivetran

Airbyte

Job description

A mission-driven technology company in London is looking for an Entry-level Data Engineer to build and maintain data pipelines that aid product and analytics. This role involves integrating data sources into a reliable data layer, ensuring quality checks, and supporting future AI initiatives. Candidates should be strong in Python and SQL, ideally with experience in AWS. Competitive salary of £60,000 - £70,000 plus equity, and hybrid work model offered.