Job Title

Company DescriptionBrightstone is a specialized consultancy and technology solutions provider for the asset and wealth management sector. With expertise in investments, data and analytics, operations, and technology solutions, the company addresses complex projects by offering end-to-end delivery, specialist resourcing, and support for AI enablement and digital innovation. Driven by a passion for technology, Brightstone aims to provide tailored solutions that drive transformation and deliver measurable results. Based on real-world asset management experience, Brightstone emphasizes innovation and problem-solving for its clients.Role OverviewDesign and build the next generation of Brightstone's data-driven products. Your job will be to help shape how data flows through our systems, how pipelines are designed, and how different technologies are integrated.What We're Looking ForWe are looking for a Full-Stack Engineer with strong Data Engineering skills. Your job will be to help design and build the next generation of Brightstone's data-driven products. This role is not just about coding — you will help shape how data flows through our systems, how pipelines are designed, and how different technologies are integrated. Your main focus will be data engineering and backend development. Experience with Azure Cloud, Python, SQL, and modern frontend frameworks is important. Knowledge of Generative AI tools such as Azure OpenAI is a big plus. You will work closely with leadership, designers, and engineers to turn ideas into real features. You will work across the entire stack, from data pipelines to APIs to UI components. The role offers full remote work, with occasional in-person meetings.Key ResponsibilitiesDesign and build scalable data pipelines (ETL/ELT)Write clean, maintainable backend and frontend codeBuild and maintain APIs and data integration systemsBuild and deploy cloud-native solutions on AzureAdd Generative AI features using Azure OpenAIDesign efficient data models using SQL and NoSQL databasesEnsure high standards for security, reliability, and scalabilityWork closely with other engineers and own features end-to-endRequired CompetenciesStrong Python and SQL skills; experience with ADF, Airflow, or similarGood understanding of ETL/ELT and data processingExperience with SQL and NoSQL databasesStrong Azure experience (ADF, Synapse, Databricks, Functions, Storage, Private Endpoints)Experience building APIs (.NET, Python, or Node.js) with secure authenticationUnderstanding of VNet integration and Private Endpoint configurationsBasic understanding of frontend frameworks like React or Next.jsKey ObjectivesDesign and build scalable data pipelines for financial analyticsIntegrate AI/ML capabilities using Azure OpenAICreate maintainable, well-tested data processing systemsEnsure security, reliability, and scalability across all solutionsKey DeliverablesData Pipelines: Scalable ETL/ELT pipelines for data processing and integration within secure VNetBackend Services: APIs and data integration systems built with .NET, Python, or Node.js with Private Endpoint connectivityCloud Infrastructure: Azure-based cloud-native solutions leveraging ADF, Synapse, Databricks, and Private EndpointsData Models: Efficient database designs using SQL and NoSQL technologies with secure network isolationWorking StyleWork across the entire stack from data pipelines to APIs to UI componentsCollaborate closely with leadership, designers, and engineersOwn features end-to-end from concept to productionFull remote work with occasional in-person meetingsTechnology StackPython, PySpark, SQL, Azure (ADF, Synapse, Databricks, Private Endpoints, VNet), ETL/ELT, React/Next.js, Azure OpenAI, GitHub Actions