Legend

Senior Data Engineer

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

Publicado2 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Reino Unido

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Actualidad de la fuente2 jul 2026

Fit de ubicación1 país aceptado

Match de stackAWS, CI/CD

Camino de aplicaciónSitio de la empresa

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Match de stackAgrega skills al perfil para compararAWS, CI/CD

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Aplicación

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Resumen del rol

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Design, manage, and improve the data infrastructure required by the teams that consume data.
Design, implement, manage, and improve processes and data pipelines that collect data from operational data sources and external data producers, normalise, standardise, and enrich them, and make them available to data consumers in an accessible and discoverable manner
Design, implement, manage, and improve the data security measures in place to make sure data consumers can access the data they need, but only what they need and not more.
Make sure the produced data adheres to data quality measures and SLAs that make it appropriate to use by consumers
Liaise with internal data producers and consumers to satisfy business requirements on a daily basis

In-depth familiarity with Snowflake and data modeling skills for analytical/transactional data systems
Managing infrastructure, networking, and security on AWS using Terraform
In-depth knowledge about workflow orchestrators, specifically Airflow or Dagster
In-depth knowledge of Python and building data systems using Python. An understanding of API frameworks such as FastAPI and libraries such as Pydantic, and design, implementation, and deployment of APIs is preferred.
Knowledge of CI/CD measures and tools, such as GitHub Actions
Preferred: knowledge of Kafka, dbt or SQLMesh, deployment of data governance tools such as data quality or data catalogue solutions, deployment of semantic/metric layer solutions such as Cube with self-serve tools or data visualisation tools integration.

1st: Initial Chat with Talent Partner (45 mins via Zoom)
2nd: Technical Interview including a Technical Assessment and Technical Discussion (1.5 hours via Zoom)
3rd: Values Interview including with Technical and Non-Technical team members (1 hour video via Zoom)
4th: Final interview including Technical focus with the Hiring Manager and Tech Leadership team (1 hour video via Zoom)

Super smart colleagues to work alongside and learn from.
Engaging development opportunities at all levels.
Tailored flexibility for your work-life balance.
Annual discretionary bonus to reward your efforts.
Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance.
Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead!

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