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Senior Azure Cloud Engineer | Germany (Hybrid)I’m partnered with an engineering-led consultancy that focuses on building and operating secure, scalable cloud platforms looking to hire a Senior Azure Cloud Engineer.You’ll design and implement Azure-based cloud platforms, supporting modern application and data workloads. Your work spans infrastructure design, automation, CI/CD and operational reliability. Projects are delivered in small teams of 5–10 people, with cloud engineers expected to take ownership of technical decisions.You bring a strong software engineering background and several years of hands-on Azure experience. You’re comfortable with infrastructure-as-code, CI/CD pipelines and cloud-native services, and understand how systems behave in production.Expect:• Design and build Azure cloud platforms using modern patterns• Implement IaC, CI/CD and automated deployment pipelines• Apply security, networking and cost-management best practices• Support data and application platforms running at scale• Work in small teams with real technical ownershipGerman fluency is mandatory.Hybrid in Germany across multiple locations. Client travel when required.If this feels like the right next step, send over your profile and we’ll take it from there.

Senior Data Engineer | Germany (Hybrid)I’m partnered with a firm that has been delivering complex engineering solutions for over five decades, combining strong commercial performance with a deeply technical culture. They are now hiring a Senior Data Engineer to strengthen their data delivery teams.You’ll build and operate cloud-native data pipelines on Azure and Databricks, covering batch and streaming ingestion, Spark-based processing and production-grade orchestration. You’ll work closely with data architects and data scientists, contributing directly to performance, reliability and cost efficiency. Projects are delivered in small teams of 5–10 people, so your work has visible impact.You bring 5 years of experience in data engineering. You’ve built ETL and ELT pipelines in production, understand distributed data processing and are comfortable working with Python, PySpark and SQL. Experience with Databricks a mandatory requirement.Expect:Build and optimise Spark-based data pipelines on DatabricksImplement ingestion, transformation and data modelling patternsTune performance, cost and reliability of production pipelinesSupport ML workloads through robust data foundationsWork closely with architects on platform-level decisionsGerman fluency is mandatory.Hybrid in Germany across multiple locations.If this feels like a good fit, send over your profile and we’ll take it from there.

🚀 Sales Development Representative (SDR) – MedTech📍 Munich Metropolitan Region | Hybrid (3 days office)💰 €55,000 7.5–10% OTEA well-funded Munich-based MedTech scale-up is hiring a Sales Development Representative to support growth in one of the most advanced areas of healthcare technology: digital patient twins for medical devices.The company builds highly realistic virtual patients (v-Patients) using digital twins, advanced analytics, and multi-physics simulations — helping transform how medical devices are developed and tested.This is not a volume SDR role. It’s consultative, technical, and closer to an AE-style sales cycle.🧩 The RoleYou’ll play a key part in driving new business in a small, high-impact commercial team (3 people). There’s no rigid split between SDR and AE work — you’ll be involved across the full sales journey.You will:Identify, prospect, and develop new customer opportunitiesBuild and qualify a strong, high-quality pipelineUse a consultative sales approach to understand complex customer needsSupport the full sales cycle — outreach, discovery, quotations (with technical teams), negotiation, and closingPrepare deeply for customer interactions with research and tailored presentationsBuild long-term relationships with decision-makers and stakeholdersCollaborate closely with leadership, technical, and marketing teamsContribute to account management activitiesResearch target accounts, market trends, competitors, and regulatory updates (FDA, MDR, etc.)Represent the company at industry events and conferences🎯 What They’re Looking For3–4 years’ experience in pre-sales, business development, or similar rolesBackground in healthcare, medtech, or a related technical industry preferredStrong hunter mindset with proven lead generation and closing abilityUnderstanding of structured sales cycles, prospecting, negotiation, and closingConfident communicator and presenter with senior stakeholdersComfortable working independently in a fast-moving scale-upStrong organisational and multitasking skillsExperience with CRM tools (HubSpot preferred)Fluent EnglishMotivated to grow within an international, tech-driven environment⭐ Nice to HaveMedTech exposureB2B enterprise or SME sales experienceExperience with 6–9 month sales cycles and six-figure dealsStrong prospecting and objection-handling skillsStart-up or scale-up backgroundExperience with tools like Hubspot, Apollo, Global Data, or similar🌍 What’s On OfferCareer progression in a high-growth MedTech companySmall, collaborative team with real responsibility from day oneFlexible hybrid workingCompany retreatEquipment providedThis is ideal for someone who wants to move beyond traditional SDR work and get exposure to complex, high-value, technical sales in the medical innovation space.

Business Analyst (AI Programmes)12-Month Contract | Remote (Poland)Rate: 250-300/day Trust in SODA is supporting a specialist AI implementation consultancy delivering AI and data solutions for enterprise clients. We are looking for an experienced Business Analyst to support the definition, delivery, and validation of AI use cases across business and technical teams. ResponsibilitiesEngage business stakeholders to capture, clarify, and prioritise AI use casesTranslate business needs into clear requirements, user stories, and acceptance criteriaEnsure alignment between business objectives, delivery scope, and technical solutionsManage scope and change requests throughout the delivery lifecycleSupport solution validation through demos, UAT, and feedback cyclesSkills & ExperienceStrong background in business analysis or product ownership within AI or data initiativesExperience working with AI, data, and engineering teams in agile environmentsConfident stakeholder management and facilitation skillsClear communicator with a strong focus on business value and outcomes

Principal Full-Stack Engineer | AI Start-Up | Remote, with occasional onsite (Germany)I am partnered with an AI startup, backed by a significant round of funding looking for a principal-level software engineer who wants to apply big-system thinking to a smaller, faster environment.You’ll be building production software that sits directly on top of large-scale generative models. That means turning research outputs into stable interfaces, reliable workflows, and product surfaces that hold up under real usage.What you’ll doDesign and own full stack systemsBuild frontend applicationsOwn backend APIs, data models, auth boundaries, and async processingDesign event-driven pipelines for large media ingestion, background processing, retries, and failure recoveryWork directly with research to define clean contracts between model outputs and product interfacesRaise engineering standards through architecture, reviews, and example implementationsHow the stack looks in practiceTypeScript end to endReact with Tailwind and Radix-based component patternsConvex-style backend architecture with strongly typed queries, mutations, actions, and realtime stateAsync-first design with explicit failure handling and observabilityAWS used narrowly and intentionally for Lambda, S3, and event triggersAbout youYou operate at senior, staff, or principal level in a high-bar engineering environmentYou are comfortable owning ambiguous problems without layers of review or processYou think about systems, invariants, and failure modes as much as codeYou can move fast without compromising quality of workYou want your decisions to matterNice to haveExperience productising ML or LLM-backed systemsPython for tooling or model-adjacent workExperience with serverless or backend-as-a-service architecturesBenefits of the roleOwnership of complete systemsDirect influence over technical/product decisionsClear line of sight from code to real users and outcomesClose collaboration with research and productHigh trust environment with strong technical autonomyCompetitive compensation with meaningful equity upsideRegular in-person time with a small senior team, without giving up remote flexibilityAccess to whatever tools or benefits you need to help you excelIf you’re looking for a technically demanding role with real impact and very little overhead, apply now

Senior Site Reliability Engineer | Spain (Hybrid)An opportunity to join a high growth, late stage technology company operating at significant scale. The business supports thousands of customers globally and is investing heavily in reliability, platform maturity and engineering quality as it continues to grow.This is a true senior SRE role for someone who has been through scaling systems and teams, and is ready to lead reliability initiatives that span services, squads and stakeholders.The roleYou will operate at the intersection of software engineering, cloud infrastructure and reliability engineering. This role goes beyond execution and delivery. You will be expected to design, plan and lead initiatives, shaping how reliability, observability and incident management are implemented across the organisation.You will partner closely with engineering teams, influence architectural decisions early, and help define how reliability is measured and improved as the platform scales.Your soft skillsWe are looking for engineers who have:• Led initiatives across multiple teams or domains rather than working solely within one squad• Designed and evolved systems with clear reasoning around trade offs, failure modes and long term impact• Strong communication skills and confidence presenting technical decisions in larger group settings• Experience in scale ups or mid sized tech environments where structure is still evolving and ownership is highTechnical backgroundYou bring strong depth across:• Cloud infrastructure, ideally AWS, with solid networking and service level understanding• Containers and orchestration such as Kubernetes, ECS or similar• Infrastructure as Code using tools like Terraform, Pulumi or CloudFormation• Observability and monitoring including metrics, logging and alerting using tools such as Prometheus, Grafana, DataDog or CloudWatch• CI CD and automation practices with a focus on reliability and safetyYou also have a strong software engineering background, with experience building and operating systems in languages such as Python, Node.js, Ruby or similar, not just scripting.Reliability mindsetYou are comfortable with:• Defining and using SLOs and SLIs to make reliability measurable• Using error budgets to guide engineering priorities• Leading or participating in incident response and post incident improvement• Improving production readiness, on call quality and reducing recurring failure patternsWhy this role stands out• High impact senior role with real ownership and influence• Opportunity to shape reliability practices in a growing engineering organisation• Strong engineering culture with an emphasis on autonomy and trust• Competitive salary, equity and a flexible hybrid working modelIf you are a senior engineer who enjoys designing systems, leading initiatives and improving reliability at scale, this role offers the scope and autonomy to make a real impact.

Backend Architect | Python | AI start-up | Germany (remote, onsite 1 x quarterly)I'm partnered with an AI start-up backed by fresh funding looking for a Backend Python Architect.The team is senior, engineering-led, and drawn from top-tier tech environments, with experienced leadership and real technical ambition.You are a backend architect or very senior Python engineer who enjoys starting with a clean slate. You’ll define backend architecture, APIs, and data models, designing systems that are scalable, secure, and built for low-latency, data-intensive workloads. You’ll work closely with infrastructure on Kubernetes-based orchestration and collaborate daily with frontend and UI UX to deliver a cohesive end-to-end platform.You have strong Python experience in production systems and a deep understanding of distributed systems, modern backend frameworks, and architectural trade-offs. You care about security, observability, and resilience, and you’re comfortable guiding technical decisions across teams.Added bonus if you have experience in Kafka or RabbitMQ, WebSockets or server-sent events, Prometheus or ClickHouse, and databases such as PostgreSQL, Redis, or MongoDB.Why this role stands out• Architect a complex AI backend from day one• Senior team from leading global tech companies• Competitive salary with flexibility and equity options• Flat structure with real technical ownershipIf you enjoy building serious backend systems and want to do it at the right moment in an ambitious AI company, let’s talk.

Lead/Principal Data Architect | Germany (Hybrid)I’m partnered with a firm that has been turning engineering excellence into consistent growth for over five decades, generating strong revenue while maintaining technical integrity and independence. They are now looking to hire a Lead Data Architect.You’ll architect cloud native data platforms on Azure and Databricks, including workspace separation, Unity Catalog integration, lakehouse and medallion structures, compute patterns, access models and cost-efficient orchestration. You’ll define engineering standards for PySpark processing, streaming, metadata management and CI/CD for data. You’ll also diagnose complex performance issues, advise on governance and shape the tooling that supports the full data lifecycle. Delivery happens in small teams of 1–10 people, so your decisions have real impact.You bring 7 years in data or platform engineering and at least 2 years as a data architect. You’ve designed and delivered ETL and ELT pipelines, worked with large-scale distributed processing and understand how data platforms behave in production. You can code in Python/PySpark or are capable of reviewing, debugging and refactoring code to a high standard. Strong Java or Scala backgrounds are also welcome.Expect:• Architect platforms built on Fabric, Databricks Lakehouse and modern Azure or AWS services• Influence ingestion and transformation patterns, schema evolution and Delta optimisation• Lead decisions across compute patterns, cluster sizing, storage formats and table design• Implement observability and reliability practices that scale under real workloads• Work with strong engineering teams who expect technical leadership, not oversight• Shape ML/AI infrastructure for model training, deployment and monitoring• Solve the challenging edge cases internal teams typically avoidGerman fluency is mandatory.Hybrid in Germany across multiple locations.If this feels like a good fit, send over your profile and we’ll take it from there.