Software Engineer, Data Team

Confluence Technologies • ,

51d • Remote

About The Position

The Data Team is building the next-generation data platform — a multi-tenant platform that will become the shared data layer behind our applications. At the heart of that platform is a Python data API built on a layered router → service → repository architecture, containerized with Docker and deployed entirely through infrastructure-as-code. Today the platform is SQL Server-heavy, and part of this role is migrating business and data logic out of legacy stored procedures into testable Python — parameterized SQL for retrieval, pandas for computation and reshaping. As we evolve, we intend to grow well beyond a single database — incorporating additional and modern data sources (for example, Snowflake, which the API's SQLAlchemy-based connection registry is already designed to add) and the patterns needed to serve them through a unified API. This is a foundational, shaping role: you will help define the architecture and direction of that next-generation platform, not just maintain what exists. We are seeking a Software Engineer with a strong data-engineering focus to join the Data Team. The role is primarily focused on the data API, but it is a team role rather than a single-service one — you will work across the data platform as it grows. This is backend- and data-centric work: you will spend more time on data correctness, performance, and the movement and reconciliation of large datasets across heterogeneous sources than on any single framework or UI library. We value depth in the core technologies and engineering fundamentals over expertise in any specific component, and we expect enough Azure and DevOps capability to deploy and operate what you build.

Requirements

• Bachelor's degree in Software Engineering/development, Computer Science, or related field.
• 3 years of experience in software development.
• Strong proficiency in Python (3.12+) backend development — FastAPI, Pydantic v2, async/await — and T-SQL, with deep comfort in the data and service layers of an enterprise application.
• Expert-level SQL Server and data engineering: parameterized query authoring, query optimization and execution-plan analysis, indexing strategy, set-based processing, and bulk / ETL data movement and large-dataset performance tuning.
• Comfort migrating logic out of legacy stored procedures into Python.
• Sufficient Azure and DevOps capability to deploy and operate what you build.

Nice To Haves

• Exposure to modern cloud data platforms and warehouses (e.g. Snowflake).
• Interest in integrating multiple, heterogeneous data sources — each just another SQLAlchemy dialect — behind a unified API.

Responsibilities

• Migrating business and data logic out of legacy stored procedures into testable Python.
• Parameterizing SQL for retrieval.
• Using pandas for computation and reshaping.
• Incorporating additional and modern data sources.
• Serving data through a unified API.
• Defining the architecture and direction of the next-generation platform.
• Working across the data platform as it grows.
• Focusing on data correctness, performance, and the movement and reconciliation of large datasets across heterogeneous sources.
• Deploying and operating built components with Azure and DevOps capabilities.

Benefits

• Generous Time Off packages including additional half days with each public holiday in your location.
• Global Career Development opportunities
• Social Events
• Referral Bonus scheme - Upto $3,000 per successful referral

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level