2 дня назад
Systems Integrator (AI/Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Systems Integrator (AI/Python): Integrating third-party systems, internal applications, SharePoint, Microsoft 365 and Databricks while building data products and AI-enabled tools for fund management, asset management and finance with an accent on Python, SQL, APIs, identity management and cloud data platforms. Focus on productionising document AI, retrieval and agentic workflows, establishing Databricks governance and cost controls, and standardising supportable internal application delivery.
Location: London, United Kingdom; hybrid workplace
Company
Generation sources, invests in and manages utility-scale renewable energy assets, with a global portfolio exceeding £8 billion.
What you will do
- Integrate third-party providers, internal tools, SharePoint and Microsoft 365 into Databricks using APIs and existing connectors.
- Build documented, reusable data products for Excel, dashboards and natural-language querying.
- Design and ship internal applications and AI-enabled tools for fund management, asset management and finance teams.
- Prototype, evaluate and productionise document AI, retrieval and agentic workflows.
- Establish Databricks and Unity Catalog access, permission, environment, cost and usage-management guardrails.
- Standardise application templates, authentication, deployment and documentation while consolidating ad hoc scripts and workflows.
Requirements
- Strong experience integrating business systems, SaaS tools and data sources through REST APIs, connectors and authentication flows.
- Experience building and shipping data products or internal applications used by business teams.
- Daily working knowledge of Python and SQL.
- Production experience with a cloud data platform, preferably Databricks, including workspaces, catalogs, permissions and compute.
- Practical experience with LLM APIs, retrieval, agents, identity and access management, Microsoft 365 or SharePoint, and cloud or AI cost control.
- Clear communication skills and comfort taking ownership in a small team.
Nice to have
- Full-stack or application development experience with Streamlit, FastAPI or HTMX.
- Familiarity with Unity Catalog, Databricks Apps, Lakebase, Genie, vector search, embeddings, document AI or retrieval-augmented generation.
- Experience with Terraform, GitHub Actions, FinOps or shared data environments.
- Background in regulated settings, financial services, infrastructure investment, energy or renewable energy data.
Culture & Benefits
- Autonomous environment focused on learning, fast decision-making and building new solutions.
- Flexible approach to the hiring process, which usually takes up to four weeks.
- Interview accommodations are available where needed.
- Equal-opportunity and inclusive working environment.
Hiring process
- The process usually takes up to four weeks and includes conversations with the recruitment team.
- Hiring decisions are made by the Talent team, with AI tools used only to support parts of application review where necessary.
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