Data Engineer

Londononsitemid

Posted today · via Teamtailor

About this role

The Data Engineer is responsible for building and maintaining scalable, reliable, and high-quality data pipelines and infrastructure that power data products and analytics across the organisation. The role focuses on ensuring data is accurate, timely, and consistently processed, particularly in environments involving high-volume transactional and API-driven systems. Key Responsibilities 1. Data Pipeline Development Design, build, and maintain ETL/ELT pipelines Ingest data from internal systems and external APIs Develop scalable data processing workflows (batch and/or real-time) Ensure pipelines are reusable, efficient, and maintainable 2. Data Integration Integrate data from various sources, including transactional flows Handle complex data scenarios such as: Event sequencing (e.g.…

Read the full description on Eeze's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, snowflake, bigquery, kafka…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in London. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqlsnowflakebigquerykafkaairflowdbtteams

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