Data Engineer

Easetalent; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A premier recruiting firm in London is seeking a Data Engineer to design and build scalable data systems. You will create modern ELT pipelines and work with LLM tooling on healthcare data analytics. The ideal candidate has 2-5 years of experience in data systems and strong SQL skills. This role offers a unique chance to shape data architecture while collaborating with key stakeholders.

Qualifications

• 2-5 years of experience building production-grade data systems.
• Strong SQL skills with proficiency in dbt and modern ELT pipelines.
• Experience with tools like Dagster, Airbyte, and BigQuery.

Responsibilities

• Build reliable, scalable data systems.
• Own projects from concept to production.
• Collaborate with product and commercial teams.

Skills

Strong SQL skills

Proficiency with dbt

Data modeling and orchestration

Experience with BigQuery

Tools

Dagster

Airbyte

Cube

Metabase

PostgreSQL

Job description

Easetalent is a premier recruiting and consulting firm dedicated to connecting top‑tier talent with exceptional career opportunities. Our mission is to drive growth and success for both our candidates and partner companies by bridging the talent‑opportunity gap.

About the Role:

We're looking for a sharp, curious, and proactive Data Engineer who thrives in fast‑paced environments and takes pride in building scalable, production‑grade data systems. You'll design modern ELT pipelines, integrate semantic layers with LLM tooling, and transform raw, fragmented healthcare data into customer‑facing analytics. This is a rare opportunity to shape our data architecture from the ground up, working directly with founders and product leaders.

What You'll Do:

• Build reliable, scalable systems that power complex integrations (e.g., PMS, payments) and internal tools.
• Take ownership of projects end‑to‑end from concept to deployed production system.
• Collaborate closely with product and commercial teams to align engineering with business outcomes.
• Write clean, maintainable code and continuously improve engineering processes.
• Develop and debug SQL‑based data pipelines using dbt, and work extensively with BigQuery and other data warehouses.
• Integrate and experiment with LLM‑powered data extraction and semantic tooling.

What We’re Looking For:

• 2‑5 years of experience building production‑grade data systems.
• Strong SQL skills and proficiency with dbt and modern ELT pipelines.
• Experience with Dagster, Airbyte, BigQuery, Cube, Metabase, PostgreSQL, or similar tools.
• Solid understanding of data modeling, orchestration, and data warehouse design.
• A builder mindset, self‑directed, execution‑focused, and comfortable making decisions with impact.
• Bonus: Experience in fintech or healthcare, especially dentistry.

Tech Stack

Data: Dagster, Airbyte, dbt, BigQuery, Cube, Metabase, PostgreSQL, Supabase
AI/LLMs: Google Vertex, Azure AI Foundry, OCR
App Layer: TypeScript, Next.js, Tailwind CSS, Node.js, Drizzle, Vercel