6 часов назад
Full Stack Engineer (Data)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Engineer (Data) (C#/.NET, React, Azure): Building end-to-end applications, backend services, frontend experiences, and data platforms for internal automation, analytics, and AI initiatives with an accent on secure integrations, scalable architecture, and reliable data pipelines. Focus on designing Azure data solutions, transforming raw data into dependable datasets, and improving application and pipeline performance, security, and reliability.
Location: UK Office; Hybrid
Company
is a fast-growing technology startup providing cybersecurity and AI solutions that help managed service providers manage and secure Microsoft 365 at scale and deliver AI services to the SMB market.
What you will do
- Design, build, and maintain full-stack applications using C#, .NET, React, and Microsoft Azure.
- Build secure backend services, REST APIs, responsive frontend experiences, and event-driven integrations.
- Own features end to end, including technical design, data modelling, deployment, monitoring, support, and data quality controls.
- Integrate SaaS platforms, databases, APIs, and third-party applications.
- Design and maintain data integrations, ingestion processes, ETL/ELT pipelines, and Azure data platform components.
- Contribute to architecture decisions, engineering standards, platform roadmaps, and stakeholder-driven solutions.
Requirements
- Commercial experience as a Full Stack Engineer, Software Engineer, or in a similar role.
- Strong C# and .NET development skills.
- Experience building modern frontend applications with React and TypeScript or JavaScript.
- Experience designing REST APIs, distributed services, and event-driven integrations.
- Experience building and deploying applications in Microsoft Azure.
- Good SQL skills and understanding of relational database design and data modelling.
- Experience with Azure Data Factory, Azure Data Lake Storage, Azure SQL, Synapse Analytics, or Databricks.
- Experience designing data integrations, ingestion processes, or ETL/ELT pipelines.
- Experience using Git, automated testing, and CI/CD pipelines, together with a product mindset, pragmatic delivery approach, clear communication, and collaborative work with technical and non-technical stakeholders.
Nice to have
- Python experience for data processing or automation.
Culture & Benefits
- Continuous learning and enablement in an environment where experimentation and mistakes are supported.
- High-trust, autonomous work with opportunities to make a tangible impact.
- Transparent communication and a collaborative culture in a fast-growing startup.
- Global team environment with support from experienced colleagues.
- Regular monthly team socials and employee recognition programs.
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