Smart Working

Senior Software Engineer- Data Focused (Remote, Full-Time) [AS275]

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

Publicado19 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

India

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Support and maintain data ingestion pipelines, including connectors that pull data from NHS systems, practice management systems, and laboratory or equipment sources using APIs and screen-scraping.
Own and support the BigQuery ingestion layer and the downstream SQL Server and SQL Azure processing responsible for calculating dentist pay.
Proactively identify, investigate and resolve data ingestion issues while improving platform observability and monitoring.
Handle enterprise customer support requests and tactical enhancement requests for the existing platform.
Work across a highly distributed, brownfield, heavily customised environment supporting multiple bespoke customer deployments.
Review and occasionally adjust SQL-driven commands used by the legacy on-premises Delphi connector where required.
Contribute to tactical process improvements, including introducing source control through GitHub Enterprise and improving CI/CD practices using Azure DevOps.
Perform light-touch maintenance of the existing .NET web application.
Trace and resolve complex issues across stored procedures, Common Table Expressions (CTEs), SQL Server business logic and distributed systems.
Solve ambiguous production problems independently while collaborating within a Kanban team.
Help improve SDLC controls and engineering processes in an environment where production changes currently occur without CI/CD safeguards.
Deliver careful production changes while responding quickly to live customer issues.

5+ years’ experience in data engineering, including data pipelines and ingestion, ideally using GCP BigQuery, Airflow and Cloud Composer; equivalent large-scale data pipeline experience on another cloud platform may also be considered.
5+ years’ experience with SQL Server and T-SQL, including stored procedures, Common Table Expressions (CTEs), and business logic implemented within the database.
2+ years’ experience with GCP tooling, specifically BigQuery, Airflow and Cloud Composer; Azure Data Factory or a similar data integration platform may be considered as an alternative.
2+ years’ experience with Azure, including SQL Azure, Azure Functions and Azure DevOps; equivalent AWS or GCP hosting experience may also be considered.

Experience with .NET / C# for maintaining and supporting existing applications.
Experience working with Delphi, particularly within legacy application environments.