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Confluence is building a next‑generation data platform. You will work on a Python data API, migrate logic from legacy procedures, and focus on data correctness and performance, spanning multiple data sources in a unified API.
The role is backend‑and‑data centric, involving collaboration across the data team to shape the platform's architecture and future direction. Flexible working options are offered as the team scales.
Department: Development - Software Development
Location: South Africa
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard‑working employees who work at Confluence.
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.
Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:
We offer flexible working options for all employees.
We look for people who align with our 4 values.
We recognise that AI tools are becoming a standard part of how many people work. Candidates are welcome to use AI throughout our interview process. If you choose to use AI during an interview or assessment, we may ask you to share your screen so that we can better understand your thinking, decision making and approach to using the technology. Our aim is to assess your skills, experience, judgement and problem solving abilities, including how you make use of modern tools in a professional setting.