For an organization in Luxembourg, we are urgently looking for a remote Senior Python Developer
EU candidates are welcome to apply. Candidates need to be based in Europe. Candidates need to be willing to work 1-2 days on-site when required.
Work permit is not provided. Candidates need to be fluent in English.
Tasks and responsibilities:
Work with subject matter experts to gather technical, business, and security requirements;
Analyse existing processes, applications, and new needs to design appropriate application solutions;
Review and refactor existing code to improve maintainability, performance, readability, and alignment with best practices;
Develop new application code, templates, and components that integrate seamlessly with existing systems;
Design and support database schemas in Microsoft SQL Server, including data-loading scripts and integration within the institution’s IT infrastructure;
Write automated unit tests to meet required quality standards and participate in system, integration, and user acceptance testing;
Prepare clear technical documentation for all developments, ensuring maintainability and knowledge transfer;
Create training materials and deliver training sessions to support users in coding, database development, and system integration;
Produce requirements and design documents, source code with automated tests, test results, and end-user/operator documentation according to approved formats;
Profile:
Bachelor or Master degree;
+7 years of Python development with SQL experience;
Strong proficiency in object-oriented programming and software design patterns;
Experience with automated testing frameworks (e.g., unittest, pytest, behave);
Proficiency with Python libraries such as Flask, NumPy, and Pandas;
Strong knowledge of XML, JSON, and YAML;
Proficient in Git version control;
Experience with both Windows and Unix/Linux environments;
Practical experience with development methodologies such as Waterfall, Scrum, or DevOps;
Fluent in English;
Desired:
Experience in the financial sector, particularly capital markets;
Knowledge of CI/CD pipelines (e.g., Azure Pipelines);
Scripting experience (shell, PowerShell, batch);
Experience with Java, R, MATLAB, or Julia;
Knowledge of additional Python libraries (e.g., PyTorch, Plotly, Dash);
Experience with reporting tools (e.g., Power BI);
Familiarity with Big Data technologies (e.g., Spark, Azure CosmosDB);