Senior Software Engineer (Remote, Full-Time) [AS275] PK
Full-Time | RemoteJob Overview
This is a highly data-focused engineering position requiring strong problem-solving skills, the ability to work independently through ambiguity, and close collaboration within a Kanban team. You'll operate across a complex, heavily customised environment while helping introduce better engineering practices without undertaking a full platform rebuild.
This is a highly data-focused engineering position requiring strong problem-solving skills, the ability to work independently through ambiguity, and close collaboration within a Kanban team. You'll operate across a complex, heavily customised environment while helping introduce better engineering practices without undertaking a full platform rebuild.
Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- Experience with .NET / C# for maintaining and supporting existing applications.
- Experience working with Delphi, particularly within legacy application environments.
Benefits
- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters:Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued
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