Midnite

Data Engineer

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

Publicado4 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Reino Unido

Puedo aplicar realmente?Revisa la lista de países

Las ubicaciones aceptadas para candidatos están listadas (1).

Actualidad de la fuente4 jul 2026

Fit de ubicación1 país aceptado

Match de stackAWS, Docker

Camino de aplicaciónSitio de la empresa

Resumen de fit de MiraPor qué vale revisar este rol

Fit de ubicación1 país aceptadoAgrega tu país

Match de stackAgrega skills al perfil para compararAWS, Docker

Señal de senioritySeniorDefine tu nivel para una revisión más precisa.

Preparación para aplicarSitio de la empresaLa aplicación continúa en el sitio de la empresa.

Aplicación

Aplicar en el sitio de la empresa

Aplicación externa

Aplicando aData EngineerMidnite

Fit de país1 país aceptado

Camino de aplicaciónSitio de la empresa

WithMiraGuarda o suscríbete antes de salir

Aplicación de la empresa

WithMira mantiene este rol para descubrimiento. La aplicación continúa en el sitio de la empresa.

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Take ownership of end-to-end data engineering projects.
Design, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase
Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring.
Design and develop complex data models aligned with industry best practices.
Participate in code reviews, providing constructive feedback to maintain high standards.
Assist with the design and implementation of our data architecture.
Stay up-to-date with industry trends and emerging technologies.

3+ years of experience in a similar role, with a track record of autonomous work and impact.
Strong expertise in Python and SQL (Snowflake preferred).
Have experience using monitoring and alerting tools.
Deep understanding of engineering best practices (e.g. unit testing, writing DRY code).
Hands-on experience with a modern data orchestrator (e.g. Airflow, Dagster, Prefect).
Knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault, etc.)
Proficiency with dbt.
Comfortable working with Git and version control workflows.

Experience with Snowflake.
Experience with AWS’s data ecosystem.
Experience implementing low-latency analytics at scale.
Experience with infrastructure-as-code (Terraform preferred).
Experience delivering full end-to-end data products, including data visualisation and BI.

Private health insurance with zero excess, including optical cover and optional dental.
Income protection to protect your earnings and give you peace of mind.
Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years.
Flexible working and a fully supported home office setup so you can do your best work from home.
Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.
Retail discounts and subscription perks across a wide range of brands.
Quarterly team socials to connect, celebrate and have fun together.

Roles similares