Jobs / Finnova
Data & AI Platform Engineer (all) 60 - 100%
Finnova · Lenzburg, AG, Switzerland
Lenzburg, AG, SwitzerlandExp: 2-5 yrsOnsite
Remuneration
Not specified
Location
Lenzburg, AG, Switzerland
Visa sponsorship
Not specified
Job summary
Build and maintain the data and integration foundation for AI and BI solutions across internal support functions, including HR, Finance, IT, and Logistics. Develop data lakes, ETL/ELT pipelines, APIs, GenAI components such as RAG and vector search, and Power BI models; take prototypes into secure production with CI/CD, monitoring, evaluation, and governance controls.
Qualifications
- Two to five years of experience in systems or data engineering, BI, integration, or software development.
- A degree in computer science, business informatics, data engineering, or a related field, or equivalent practical experience.
- Solid knowledge of SQL and relational databases, plus foundational data modeling skills.
- Experience with REST APIs, JSON, and authentication methods such as OAuth/Entra ID.
- Understanding of LLMs, embeddings, RAG, and AI agents; motivation to develop expertise further.
- Some experience with Git, CI/CD, or Infrastructure as Code.
- Experience with Abacus ERP, Power Platform, or data governance tools such as Microsoft Purview is advantageous.
- Structured, quality-conscious working style and ability to explain technical concepts clearly.
- German proficiency at C1 level and English proficiency at B2 level.
Responsibilities
- Build and expand the data foundation for AI and BI applications, including data lakes or lakehouses, databases, and data models.
- Develop ETL/ELT pipelines and integrations with core business systems.
- Develop and operate APIs and connectors that provide secure access to data and applications for AI solutions, copilots, and agents.
- Implement GenAI components, including RAG pipelines, vector search, model configuration, and agent tools.
- Build semantic models, Power BI solutions, and AI-supported management reporting.
- Move prototypes into production with deployment, CI/CD, monitoring, logging, cost control, and evaluation of AI results.
- Implement access controls, data classification, privacy, and information security in collaboration with architecture, security, and AI governance teams.
Skills
AzureAzure DevOpsBicepGitGoRESTTerraform
Degrees
Degree in computer science, business informatics, data engineering, or a related
Languages
German (C1)English (B2)
Relocation
No