Senior Software Engineer, Data Focused

Smart Working

Senior Software Engineer maintaining data platforms at Smart Working, focusing on data ingestion for dentist pay calculations. Collaborating within a data-focused engineering team for reliability and improvements.

Posted 7/16/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering with a focus on data ingestion pipelines, SQL Server, and cloud technologies such as GCP and Azure. Proficient in improving CI/CD practices and maintaining data integrity across distributed systems.

Highest-signal resume keywords

Data EngineeringGCP BigQuerySQL ServerAzure DevOpsData Ingestion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PipelinesT-SQLStored ProceduresCommon Table ExpressionsAPIsScreen-ScrapingCI/CD PracticesCloud ComposerAzure FunctionsAirflow

Soft Skills

Problem SolvingCollaborationCustomer Support

Tools & Technologies

GitHub EnterpriseAzure Data FactorySQL AzureDelphi Connector

Industry Keywords

NHS SystemsPractice Management SystemsBespoke Customer DeploymentsBrownfield EnvironmentProduction Changes

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudDelphiDistributed SystemsGoogle Cloud Platform.NETSDLCSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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