Software Developer Fullstack (m/f/d) – Microservices | Python | Rust | Dresden We are seeking an experienced Fullstack Software Developer (m/f/d) to join our team in Dresden. In this role, you will contribute to the development of complex application software for distributed systems built on modern microservice architectures. This position is ideal for a technically strong backend-focused developer who thrives in Linux environments and enjoys working with cutting-edge technologies such as Python, Rust, Docker, and Kubernetes. Your Responsibilities<ul><li>Further development of complex software solutions for distributed systems within a microservice architecture.</li><li>Close collaboration within an agile software development team.</li><li>Technical support to Product Owners and Software Architects on detailed technical matters.</li><li>Drive improvements in code quality, maintainability, and execution performance.</li><li>Rapid onboarding into new technologies and independent application of new concepts.</li><li>Development of solutions for decoding and encoding network protocols and networking components.</li></ul>Your Profile<ul><li>Strong experience in Python and/or Rust, with a focus on backend development in Linux environments.</li><li>Practical experience with containerization and orchestration (Docker, Docker Swarm, Kubernetes).</li><li>Solid knowledge of microservices architecture and REST interface design and implementation.</li><li>Experience with static code analysis, unit testing, and automated testing.</li><li>Agile mindset with hands-on experience in Scrum or Kanban environments.</li><li>Structured, independent working style combined with strong teamwork skills.</li></ul>Required Tools & Technical Skills<ul><li>Git – Advanced knowledge</li><li>Jira – Advanced knowledge</li><li>Confluence – Advanced knowledge</li><li>SonarQube – Advanced knowledge</li><li>Unit test frameworks (e.g., gtest, nunit, unittest) – Advanced knowledge</li></ul>

Software Developer Fullstack (m/f/d) – Microservices | Python | Rust | Dresden

Test Automation Engineer (m/f/d) – 8DAX1 R&D SW Platform Core & Data Services Location: Dresden, Germany Working Hours: Full-time, 40 hours per week Languages: Advanced German & Advanced English Annual Gross Salary: €60,000 – €75,000 (depending on professional experience) About the Role We are seeking a highly skilled Test Automation Engineer (m/f/d) to join our 8DAX1 R&D SW Platform Core & Data Services team in Dresden. In this pivotal role, you will design, develop, and implement automated testing solutions for our platform services and APIs, ensuring functionality, scalability, performance, and security across our distributed systems and microservice architectures. This is an exciting opportunity for engineers passionate about CI/CD, automated testing, and quality assurance in cutting-edge software environments. Key Responsibilities <ul><li>Test Automation Development: Design, develop, and execute automated tests (API, Integration, E2E) to ensure high-quality software delivery.</li><li>CI/CD Integration: Embed automated tests within the CI/CD pipeline to enable continuous testing and rapid feedback.</li><li>Cross-Platform Automation: Integrate automated tests into the cross-platform automation suite, maintaining a uniform testing and reporting structure.</li><li>Test Strategy & Reporting: Collaborate with platform teams to define test strategies, develop test plans, and implement coherent test automation frameworks.</li><li>Performance & Security Testing: Ensure automated tests cover performance, security, and reliability aspects of platform services.</li></ul> Required Qualifications <ul><li>Education: Bachelor’s degree in Computer Science or a related field.</li><li>Certification: ISTQB certification is required.</li><li>Test Automation Expertise: Proven experience designing and implementing automated tests, integrating them into test frameworks. Expertise in API, functional, and integration testing.</li><li>Distributed Systems Knowledge: Experience testing microservices and distributed systems, ideally with Kubernetes and containerized environments.</li><li>Technical Skills: Proficient in test automation tools and frameworks such as Postman, Integrate, Swagger UI, RestAssured, JUnit, TestNG, Robot Framework, and scripting languages like Python.</li><li>Tool Proficiency: Expert-level knowledge of GitLab, Docker, and Kubernetes.</li></ul><ul><li>Bonus Skills (Optional, Highly Desirable)</li><li>Experience testing with Identity Providers (e.g., KeyCloak, Okta) and MFA solutions.</li><li>Knowledge of Secretstores / Vaults, certificate management, and security testing approaches.</li><li>Experience with event-driven architectures, message queues, and workflow automation.</li><li>Testing experience with cluster-capable, service-oriented architectures.</li><li>Familiarity with modern web technologies and monitoring tools such as Prometheus, Grafana, Jaeger.</li><li>Experience in Behavior-Driven Development (BDD) and tools like Cucumber.</li></ul>Why Join Us <ul><li>Be part of a leading R&D software platform team in Dresden.</li><li>Work on innovative projects in distributed systems, APIs, and automation.</li><li>Competitive salary and career development opportunities.</li><li>We are looking forward to receiving your highly qualified applications for this key role in test automation engineering. Join us in driving excellence in software quality and innovation.</li></ul>

Test Automation Engineer (m/f/d) – 8DAX1 R&D SW Platform Core & Data Services

Junior Data Engineer - Up to £45,000 Bonus London - 5 days per week in office The Opportunity An established private equity investor is continuing to build out its data capability to better support investment decisions across EMEA. As part of this growth, the firm is hiring a Junior Data Engineer to help strengthen and scale its cloud based data platform. You will join a high performing Research and Technology team that works directly with investment professionals. The team is responsible for transforming fragmented internal and market data into structured, decision ready intelligence that informs deal activity, portfolio strategy and capital deployment. This role would suit someone early in their data engineering career who enjoys building scalable solutions, automating processes and working closely with commercial stakeholders in a fast paced environment. Responsibilities<ul><li>Designing and maintaining data pipelines that ingest and consolidate data from internal systems and third party providers</li><li>Automating manual workflows and improving infrastructure scalability and reliability</li><li>Supporting the migration of legacy spreadsheet driven processes into a structured cloud environment</li><li>Building and optimising ETL processes using AWS and SQL technologies</li><li>Developing dashboards and analytical tools to surface insights across operational performance and fund deployment</li><li>Implementing data validation and governance processes to ensure accuracy and consistency</li><li>Working closely with investment, finance and asset management teams to translate business requirements into robust technical solutions</li></ul>Requirements<ul><li>1 to 3 years experience in data engineering or a similar technical role</li><li>Strong proficiency in SQL and Python</li><li>Exposure to AWS and modern data warehousing concepts such as Snowflake</li><li>Experience with BI tools such as Tableau is advantageous</li><li>Strong academic background in a quantitative discipline</li><li>Structured thinker with excellent attention to detail</li><li>Self starter who is comfortable working in a high expectation environment</li></ul>

Data Engineer

Data & Technology Analyst London (Hybrid) No Sponsorship £45,000–£55,000 Bonus Benefits I’m hiring two ambitious and commercially minded analysts to join a growing team focused on transforming how the business uses data and technology. This is a unique hybrid role combining data analysis, technical problem solving, and infrastructure improvement, ideal for someone early in their career who wants real ownership and rapid development. You’ll work across commercial and operational teams to uncover insights, improve internal systems, automate processes, and help build a smarter, more connected organisation. What we’re looking for: Degree in Data Science, Computer Science, Statistics, Economics, Business Analytics or similar Strong foundation in SQL and Python (R also beneficial) Commercial awareness and curiosity about how businesses operate Passion for improving systems, processes, and tech infrastructure Clear communicator who can translate data into actionable insight This is a fantastic opportunity to join at a time of real investment in data and tech — with the chance to shape strategy, experiment with new ideas, and grow quickly into a well-rounded data professional. Please send me your CV to paul.culmer@xcede.com

Data & Technology Analyst

​With over 15 years of experience working for Xcede, Paul is currently our Senior Principal Consultant in Analytics across the UK and Europe. Leveraging his diverse range of talent acquisition experience, Paul has helped a range of organisations to expand their technology teams. Paul consults on a wide range of analytics-focused roles across all levels, from Customer Insights, Marketing Analysis, Database Marketing and Campaign Management, to Direct Marketing, Email Marketing, Forecasting and beyond. Specialists with proven experience in SQL, Python, and R can contact Paul to discuss the latest Analytics roles. 

Paul Culmer

Lead Consultant

I'm looking for a commercially minded Data Analyst who loves turning data into meaningful insights that drive business decisions. You’ll work across the organisation analysing performance, identifying trends, and building dashboards that help us understand what makes us successful — and where we can improve. This is a brilliant opportunity for someone early in their career who wants real exposure to strategy, operations, and commercial performance. What you’ll be doing: <ul><li>Analyse internal data to uncover trends and opportunities</li><li>Build dashboards and reports to support decision-making</li><li>Partner with commercial and operational teams</li><li>Improve data quality, models, and performance metrics</li><li>Present clear, actionable insights to stakeholders</li></ul> <ul><li>Degree (or equivalent experience) in Maths, Data Science, Statistics, Economics, Business Analytics or similar</li><li>Strong analytical thinking and attention to detail</li><li>Interest in commercial performance and storytelling with data</li><li>Ability to communicate insights to non-technical audiences</li><li>Curious, proactive, and eager to learn</li><li>Powerbi and SQL</li></ul> <ul><li>Direct impact on business strategy</li><li>Exposure to senior stakeholders</li><li>Clear progression into Data Science or Senior Analytics roles</li><li>A culture that values insight, clarity, and innovation</li><li>Please send me your updated CV to paul.culmer@xcede.com</li></ul>

Data analyst

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Paul Culmer

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