CLOUD & INFRASTRUCTURE

Contract Data Engineer (x2) | Zurich, hybrid | German speaking I’m hiring two contract Data Engineers to join a 4-5 person team for a well-known Zurich-based client. The team runs a self-service BI platform on Azure. The project The platform brings together data from nearly 50 use cases across operations, retail, finance and real estate. It feeds tailored Power BI dashboards that give the business up-to-date numbers without manual reporting. The next phase is about extending it. What you’ll do Ingest a range of source systems into the client’s central Azure data platform Build data products from the ingested and standardised data, covering modelling and processing What you need Strong Python and PySpark Fluent German (mandatory) Based in Switzerland and able to be in Zurich one day a week Nice to have: Azure and Databricks The details Start: 1 January 2027 Duration: 12 months (to end of December 2027) 100%, hybrid: 1 day a week on site in Zurich, the rest remote within Switzerland If this fits, send me your CV or drop me a message: max.binnie@trustinsoda.com

Full Stack Software Engineer (Staff/Senior) - Applied AI An enterprise AI software company is hiring a Full Stack Software Engineer to turn solutions built for individual customers into features that work across the platform. You’ll work with the engineers who deploy the product to understand where customers get stuck, then own the solution from the data model and API through to the interface and rollout. A typical project might start with a request to make an integration self-service. You’d decide how to connect to the external system, how to store and expose its data and what users need to see when setup succeeds or fails. You’ll collaborate with design, make technical decisions and follow the feature into production. Note: This role is office-based five days a week. What you’ll do Build backend services in Python and FastAPI and customer-facing interfaces in TypeScript and React. Design relational schemas, API contracts and shared types that support the way people use the product. Build connectors and data ingestion workflows, alongside interfaces for finding, reviewing and updating information. Turn loosely defined requests into scoped features, coordinate dependencies and use production feedback to improve what you ship. Build shared components, libraries and internal tooling that help other engineers deliver faster. What you’ll bring 3+ years of professional software engineering experience and a clear example of a production feature or system you personally built or substantially rebuilt end to end. Specialist-level depth in frontend or backend engineering and enough hands-on production experience on the other side to own decisions across the API boundary. Good judgement about typing, data modelling, API design and how people interact with software. The ability to take an open-ended problem, work out what needs building and see it through to release. Useful experience: Building on a small team, shipping third-party integrations or self-service workflows and developing tools that other engineers adopted. Prior AI experience is welcome and optional.

Solution Architect – IBM (Manufacturing & Supply Chain) PPR 835188663/1098415630/tbc ·                  Rates: up to 11840 SEK daily (1047 EUR) - all-in, including your margin ·                  Assignment workload: Full-time ·                  Target start date: November 1, 2026 ·                  End Date: December 31, 2027 Locations open for recruitment: Sweden Office presence: Fully remote work possible; if required: custom – occasional office presence (EPAM office or client office) ·                  JD attached ·                  Must-have skills: AS/400, Manufacturing, Supply Chain Management, IBM Report, Program Generator, DB2/400 ·                  Industry: Automotive

Senior Data Analyst – 12-Month Contract – Hiring ASAP! ? Location: Gothenburg, Sweden (Hybrid – 3 days onsite) ? Rate: SEK 613 per hour ? Duration: 12 months ? Start Date: ASAP Are you a Senior Data Analyst who loves turning complex data into powerful business insights? Do you enjoy taking ownership of projects, building innovative analytics solutions and working with cutting-edge data technologies? We're looking for an experienced Senior Data Analyst to join a growing Data, Analytics & AI team on an exciting 12-month contract in Gothenburg! You'll play a key role in transforming large-scale datasets into actionable insights, working alongside talented Data Scientists, ML Engineers and Data Engineers to deliver impactful analytics solutions. What You'll Be Doing Taking ownership of end-to-end analytics projects, from initial concept through to delivery. Building and optimising data pipelines using Databricks and modern cloud technologies. Creating engaging, insightful dashboards and reports using Power BI. Working closely with stakeholders to understand business challenges and turn them into data-driven solutions. Transforming complex datasets into meaningful insights that support business decisions. Collaborating with Data Science, AI and Engineering teams to develop innovative analytics products. Empowering business users through reporting tools, training and self-service analytics. What We're Looking For 5+ years' experience in Data Analytics, Business Intelligence or a similar role. Strong hands-on experience with Databricks and data transformation pipelines. Excellent Power BI skills, including dashboard development and data visualisation. Solid understanding of data modelling, data processing and analytics. Experience delivering analytics solutions from scratch within enterprise environments. Strong communication and stakeholder engagement skills. A proactive, creative problem-solver who enjoys tackling complex data challenges. Bonus Points For Experience with AWS Glue, Athena or Microsoft Fabric. Exposure to AI, Machine Learning or Data Science environments. Experience building scalable analytics products and self-service reporting solutions. Why This Opportunity? This isn't just another reporting role! You'll have the opportunity to own projects, influence business decisions and build analytics solutions that make a real impact, all while working with modern data technologies in a collaborative, forward-thinking environment. Sound like your next challenge? Apply today or get in touch to find out more! #DataAnalyst #Databricks #PowerBI #DataAnalytics #Gothenburg #ContractJobs

Dates: 4 Jan 2027 to 31 Jul 2027 Location: Sweden based. Onsite in Eskilstuna 3 days a week. Equipment is the contractor’s own laptop plus a client-provided one. Language: English B2+   Role summary Designs and builds the Data 360 layer under the common customer foundation and all five use cases. Owns the data model across core platform and Data 360, decides where each attribute sits, and documents the volume, latency and sharing trade-offs. Designs the grounding patterns Agentforce and AIforce use to answer questions and generate content. Works alongside the Program Architect, presents to governance and teaches the design approach to client teams. Must haves Design and build across core platform data modelling and Data 360: data streams, DMOs, identity resolution, calculated insights, Zero Copy Can justify residency, latency, volume and sharing trade-offs at scale Agentforce and AIforce grounding patterns Data flows and integration, including Zero Copy, latency and storage optimisation Compliance: data residency, tenant isolation, zero retention, masking, auditability Global implementation trade-offs Can teach both technical and business audiences Nice to have Azure DevOps, GitHub, SharePoint, Teams Ideal profile Data Cloud Architect or Consultant with 1 to 2 real Data 360 implementations, Data Cloud Consultant cert, ideally with Zero Copy experience (Snowflake or Databricks).

Project: Customer Data-Driven Marketing and AI Acceleration Type: Contract, full time Dates: 12 months from January 2027 Location: Sweden based. Onsite in Eskilstuna 3 days a week. Equipment is the contractor’s own laptop plus a client-provided one. Language: English B2+   Role summary Lead architect for a common Salesforce foundation covering customer data, digital marketing and AI. Owns the base that five use cases are built on: marketing segmentation, a lead magnet assistant for the customer portal, seller battlecards, fleet telematics and machine lifecycle, and an Operator Manual AI assistant. Combines enterprise architecture with programme management. Builds working prototypes in a client sandbox, presents to the architecture committee (monthly) and the Salesforce Design Authority (weekly), and trains client architects, developers and users. Must haves Enterprise architecture plus programme management Sales Cloud, Marketing Cloud and Experience Cloud design Delivered business use cases on Data 360, Agentforce and AIforce Complex sharing and visibility across internal, dealer and end-customer communities at scale Hands-on LWC and Flow, enough to build prototypes Data foundation design across Data 360 and core platform, including Zero Copy, latency and storage Compliance: data residency, tenant isolation, zero retention, masking, auditability Trainer mindset Nice to have Azure DevOps, GitHub, Marketing Cloud Engagement, SharePoint, Teams Ideal profile Ex-Salesforce Professional Services or senior partner architect, freelancing. CTA or Data Cloud and Agentforce certs. B2B, manufacturing or dealer network background.

Applied AI Engineer  Agentic AI | Azure | Python | Workflow Automation  Build AI that improves real operations   We are looking for an AI Automation Engineer to turn promising AI use cases into secure, reliable production solutions. You will help build a reusable automation platform connecting AI models, workflows, people, and enterprise systems.   What you will do  Build AI agents and automated workflows for operational processes.  Develop reusable Python services, APIs and Azure Functions.  Work with Microsoft Foundry / Azure AI and enterprise LLMs.  Orchestrate workflows using n8n or similar technologies.  Integrate AI solutions with Microsoft 365, APIs, databases, and business applications.  Implement structured outputs, RAG, tool calling, and human-in-the-loop controls.  Build security, monitoring, testing, auditability, and CI/CD from the start.  Turn prototypes into governed services that teams can use and scale.  What you bring  Strong software-engineering fundamentals and hands-on experience across several of these areas:  Python, REST APIs, JSON and automated testing  Azure Functions, Storage, Key Vault and Application Insights  Microsoft Entra ID, Managed Identity and Azure RBAC  LLM APIs, structured outputs, RAG and agent orchestration  Workflow automation and enterprise integration  Git, CI/CD, logging and operational monitoring  You do not need to tick every box. We care most about your ability to combine AI, software engineering and automation to deliver dependable systems.  What success looks like  You help us move from individual AI experiments to a reusable platform on which teams can rapidly deliver secure, governed production workflows.  If you enjoy making AI do useful work, rather than simply building demonstrations, we would like to hear from you.

We are engaged with a well established global travel technology company, whose search platform serves millions of travellers every month, in their search for a Hybrid Platform Team Lead. The role You will lead a team of eight engineers, six Site Reliability Engineers and two Network Engineers, responsible for the company’s hybrid infrastructure across Google Cloud, its own data centres and the network that connects them. The role is split roughly equally between technical leadership and people management. You will remain closely involved in architecture, automation and critical troubleshooting while developing and managing the performance of your team. Over the first six months you will lead two key projects: the build of a new point of presence in Dallas, and the onboarding of new GPU infrastructure. Key responsibilities Own the strategy and roadmap for hybrid infrastructure across GCP, data centre and campus Shape architecture and contribute to infrastructure as code and automation Set and track reliability targets, and run a sustainable, paid on call rotation Manage hardware lifecycle, vendors, contracts and team budget Lead hiring, coaching, performance management and career development for the team Requirements Hands on experience across cloud (ideally GCP) and on premise data centre and network infrastructure Strong knowledge of TCP/IP, BGP, OSPF and modern data centre architectures such as IP fabric Experience with Terraform, Ansible or similar, Kubernetes and CI/CD Proven experience leading or mentoring infrastructure, network or platform engineers Experience in lean or scale-up environments where resourcefulness on a budget is essential Experience with Juniper, GCP hybrid connectivity, colocation or FinOps would be advantageous. We are engaged with a well established global travel technology company, whose search platform serves millions of travellers every month, in their search for a Hybrid Platform Team Lead. The role You will lead a team of eight engineers, six Site Reliability Engineers and two Network Engineers, responsible for the company’s hybrid infrastructure across Google Cloud, its own data centres and the network that connects them. The role is split roughly equally between technical leadership and people management. You will remain closely involved in architecture, automation and critical troubleshooting while developing and managing the performance of your team. Over the first six months you will lead two key projects: the build of a new point of presence in Dallas, and the onboarding of new GPU infrastructure. Key responsibilities Own the strategy and roadmap for hybrid infrastructure across GCP, data centre and campus Shape architecture and contribute to infrastructure as code and automation Set and track reliability targets, and run a sustainable, paid on call rotation Manage hardware lifecycle, vendors, contracts and team budget Lead hiring, coaching, performance management and career development for the team Requirements Hands on experience across cloud (ideally GCP) and on premise data centre and network infrastructure Strong knowledge of TCP/IP, BGP, OSPF and modern data centre architectures such as IP fabric Experience with Terraform, Ansible or similar, Kubernetes and CI/CD Proven experience leading or mentoring infrastructure, network or platform engineers Experience in lean or scale-up environments where resourcefulness on a budget is essential Experience with Juniper, GCP hybrid connectivity, colocation or FinOps would be advantageous.