Sam Oliver

We are supporting a large-scale digital and AI transformation initiative and are looking for a mid-level Data Engineer with strong Azure and Databricks expertise, combined with real-world experience delivering GenAI and agentic AI solutions into production environments.This role is ideal for someone who is hands-on, engineering-focused, and already using modern AI-assisted development workflows as part of their day-to-day work.What You’ll Be Doing:Build, optimize, and maintain production-grade data pipelines on AzureDevelop and support GenAI and agentic AI solutions that are actively used in live environmentsWork with Azure Databricks, Spark, and Delta Lake on scalable, business-critical workloadsBuild backend services and APIs in PythonIntegrate Azure AI capabilities including Azure OpenAI, Azure AI Search, and Azure AI FoundryCollaborate with cross-functional engineering and AI teams to deliver reliable, scalable solutionsUse AI-assisted and agentic development tools as part of daily engineering workflowsWhat We’re Looking For:Around 5 years of experience building and operating production data platforms and pipelinesProven experience delivering GenAI or agentic systems on Azure beyond proof-of-concept stageStrong hands-on experience with:Azure OpenAIAzure AI SearchAzure AI FoundryAzure DatabricksSparkData LakeStrong Python engineering skills, including APIs and backend servicesPractical, day-to-day usage of AI coding assistants and agentic development tools such as:GitHub CopilotClaude CodeCursoror similar platformsFluent English communication skillsNice to HaveExperience working in enterprise-scale cloud environmentsExposure to MLOps or AI platform engineeringFamiliarity with modern software engineering and CI/CD practicesThis profile has to be based in Europe.

Freelance Delivery Manager / Project Coordinator (German Speaking) We are looking for an experienced freelance Delivery Manager / Project Coordinator to support a public-sector digital construction programme in Bern. The role focuses on coordinating multi-vendor delivery activities, managing project setup and integrations, and supporting the rollout of new digital use cases within a centralized data environment aligned with international information management standards. Key RequirementsStrong delivery/project management experienceAgile delivery and stakeholder management skillsExperience coordinating software development and integrationsStrong communication and organizational skillsFamiliar with Jira, Confluence, and MS OfficeGerman language mandatoryHERMES certification preferredProject DetailsLocation: Bern, Switzerland (onsite required)Capacity: 50–70% (approx. 60% FTE)Start: 25 May 2026End: 31 Dec 2026Contract: FreelanceEnvironment: Multi-vendor coordinationIdeal for a senior Delivery Manager experienced in complex enterprise or public-sector environments.

AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial contract to the end of the year, (with strong potential to extend further)Fully remote€400–€425 per day

AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial contract to the end of the year, (with strong potential to extend further)Fully remote€400–€425 per day

AI Data Engineer – Python, Snowflake & Machine Learning (Contract, Remote) We’re looking for an experienced AI Data Engineer to build scalable data pipelines and deploy production-ready machine learning solutions within a modern cloud data platform. The role: Own end-to-end data and ML workflows, from ingestion and transformation through to model deployment and monitoring, with a focus on reliability and scalability in Snowflake and Python. What you’ll be doingBuild and maintain data ingestion pipelines into Snowflake (structured and time-series data)Prepare ML-ready datasets (feature engineering, aggregations, train/test splits)Develop, train, and deploy ML models using Python (scikit-learn, XGBoost, LightGBM)Operationalise ML workflows in Snowflake using SnowparkWrite model outputs back to Snowflake for downstream useMonitor pipelines and models, including data quality checks and retraining triggersTechnical environmentSnowflake (SQL, Streams, Tasks, Snowpipe)Python for data engineering and ML (including Snowpark)ML frameworks: scikit-learn, XGBoost, LightGBMTime-series data processing (desirable)Azure Data Lake / Microsoft Fabric (nice to have)Contract detailsInitial contract with strong extension potentialFully remote (Has to be European based) €300 - €325 Per Day

AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial contract to the end of the year, (with strong potential to extend further)Fully remote€400–€425 per day