A company is looking for an experienced Data Engineer to carry out a migration from Snowflake to ClickHouse. The focus is on using Apache Spark for data processing and on managing and optimizing Kubernetes environments. The goal is to build and operate a powerful and scalable data platform. - Executing the migration from Snowflake to ClickHouse - Developing and optimizing data pipelines with Apache Spark - Managing and optimizing Kubernetes clusters - Ensuring the performance and scalability of the data platform - Implementing solutions in Python - Optional: Working with Snowplow for data analytics

To replace the consent layers on the web that were previously provided by third-party CMPs for our international brands, these layers need to be reimplemented so they can be maintained and deployed in-house. This requires solid knowledge of TypeScript, Vue.js and classic web technologies (HTML and CSS). The goal is to deliver executable code that implements all requirements and includes automated tests that verify correct functionality. What exactly is the scope of the assignment: The main focus is on developing elements for decision templates on the approach and on implementing measures throughout the project as designed. This specifically includes the following service packages: - Implement code - Implement executable tests that must pass on delivery, test coverage >= 80% - Create documentation for the code - Create brand-specific cmp-config files - Create a project (including asset management requirements) as a copy of the Consent Management Platform - Remove netID references - Create brand-specific settings and files for custom purposes/vendors - Add new brand-specific CSS themes (variable values, logos, etc.) - Include the required official IAB GVL translations (ES, FR) in the weekly sync with GVL - Implement I18n and prepare brand-specific data sources - Implement PMC2.0 backend usage modules - Implement the playout logic - Implement the layer initialization process (mode=default and mode=resurface) - CDN upload and release process - Project documentation Project execution: - The deliverable should be written in TypeScript and Vue.js, built with Vite, tested with Vitest.

The Digital Analytics department uses the Adobe Experience Cloud to deliver personalized user experiences. The goal is to increase conversion rates and improve the customer experience through targeted personalization and testing. The technical implementation is carried out independently by specialized consultants. - A key part of the tasks is maintaining the existing implementation within the Adobe Experience Platform. This includes monitoring data and troubleshooting source connectors. - As part of preparing new features for use in the Adobe Experience Platform, requirements and data are first translated into Adobe's Experience Data Model. This involves creating entity relationship diagrams (ERDs) and contextualizing the relevant data. - Based on this, appropriate schemas are created within the platform and data sets prepared for further use. - Other tasks include designing and setting up new activation channels as well as additional data sources. - In addition, new business-relevant use cases are developed along the different phases of the customer journey to increase business value in a targeted way. - Creating segments and performing error analyses using targeted SQL queries. - Advising on all newly introduced processing activities, compliance with applicable data protection regulations, the necessary internal approval processes, and documenting the legal and technical specifics.

A company is seeking support within the project for evaluating, implementing, and further developing quality surveys in digital channels. The goal of the project is to increase customer satisfaction in digital channels, evaluate, implement, and further develop survey methods to enable consistent measurement of customer satisfaction across all channels. Improvement potentials should be identified and implemented. The role includes consulting, developing, and executing measures for collecting and improving customer satisfaction in digital channels. Main tasks: - Advising on survey methods for capturing customer experience and quality in digital channels, market standards, benchmarks, and future orientation. - Developing a future model for quality in digital channels, relevant KPIs and survey methods, as well as standard processes. - Implementing the decided measures, including interface management and coordination with technology partners and social partners. - Testing implemented measures for data collection and ensuring they meet the required criteria. - Consolidating and listing existing and missing customer survey methods/Quality KPIs in all responsible digital channels. - Advising on the preparation of decision templates and implementing the necessary measures. - Identifying improvement potentials and developing a standard process for transparency and implementation.

An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows. This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time. Key responsibilities: - Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross-referencing authoritative sources. - Perform web scraping and data extraction by navigating complex website structures and multi-level pages (regions → companies → detailed pages). Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well-formatted CSV files. - Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required. - Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. - - Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality. - Apply strong problem-solving and task execution skills to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision. - Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.

We are seeking an analytical and technically-minded professional to: - Evaluate AI outputs and processes - Ensure quality, accuracy, and reliability - Identify logical errors, risks, and structural inconsistencies - Provide actionable insights and recommendations to the team Ideal candidates: - Consultants, auditors, analysts, data researchers, or business/technical analysts with strong reasoning skills - Professionals curious about AI, process improvement, and quality evaluation - Problem-solvers who enjoy analyzing complex systems, logic, and scenarios Key Responsibilities: - Lead evaluation of AI outputs and related processes - Review tasks against expected/ideal scenarios; identify gaps and risks - Provide structured, actionable recommendations to engineers, domain experts, and managers - Maintain and improve evaluation guidelines, checklists, SOPs - Suggest new approaches, tools, and processes to enhance AI evaluation

We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights. What You'll Do - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) - Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers

A company is looking for an experienced Product Manager to develop an Android app. The focus is on leading and coordinating the development process, with a good understanding of hardware being an advantage. Main tasks: - Leading the development of an Android app - Working closely with development teams and stakeholders - Ensuring project goals and deadlines are met - Translating business requirements into technical specifications - Prioritizing and maintaining the product backlog

An insurance company in Nuremberg is looking for a Senior Faktor 10 developer with expertise in IPS and IPM. The project involves developing and optimizing software solutions in the insurance domain, focusing on high performance and reliability. The role requires solid knowledge of Faktor 10 and its applications in the insurance sector. Main tasks: - Develop and optimize applications with Faktor 10, especially in IPS and IPM. - Collaborate with cross-functional teams to ensure seamless integration and functionality. - Analyze and resolve complex technical issues. - Provide technical guidance and mentoring to junior developers. - Ensure compliance with industry standards and best practices.

To strengthen data-driven cross & upsell and retention campaigns, Customer Interaction runs a platform where campaign processes including a profiler are developed, orchestrated, and monitored. Support is needed in the following areas: Analysis & Consulting - Functional and technical analysis of existing campaign processes - Consulting on data flows, selections, and profiling strategies PL/SQL Development - Implementation and optimization of data selection, transformation, and aggregation routines in Oracle PL/SQL - Mapping of specified business logic for customer segmentation Testing & Quality Assurance - Planning and execution of unit, integration, and regression tests - Documentation of test cases and results Operations & Monitoring - Monitoring of running jobs and workflows (performance, error handling) - Tuning of SQL queries and batch processes Communication Outputs - Connection to and provisioning of sending channels email, SMS, outbound call, and print - Implementation of data-driven personalization and targeting

- You develop modern, high-performing web frontends with React, TypeScript, HTML and CSS - You implement responsive designs with a focus on accessibility and performance - You plan and execute unit and integration tests (for example with Playwright) - Troubleshoot in development, test, or live environments

An organization is seeking an experienced post-merger integration consultant with a strong focus on technology and commercial aspects. The goal of the project is to ensure a successful integration after a merger or acquisition by addressing technical and business challenges. The role requires someone with proven leadership experience at larger technology companies, capable of taking on strategic and operational tasks. Key Responsibilities: - Leading and coordinating post-merger integration processes - Analyzing and optimizing technical and commercial structures - Developing and implementing integration strategies - Collaborating with internal and external stakeholders - Ensuring adherence to timelines and budgets

- Product and web development in a data-driven environment - Shaping the software architecture for new data products - Collaboration in interdisciplinary teams (including data scientists and business developers)

At our client, changes in operations support and related work in the cloud native environment are on the agenda. - Development of the delivery pipeline - Development of the applications catalog for ODC - Development of the ITSM/CMDB integration

A company is looking for an experienced ERP Transformation Manager who will take overall responsibility for planning and steering a comprehensive ERP transformation program. The project aims to harmonize processes, introduce a new ERP system, and implement IFRS requirements. The ERP Transformation Manager will analyze, redesign, and standardize the commercial core processes in civil engineering and track construction. This includes translating IFRS requirements into system structures and posting logic, closely coordinated with the Finance, Controlling, Project Management, and IT departments. The role covers steering the ERP implementation, including fit-gap analyses, process design, test management, and migration. In addition, a unified reporting and KPI framework for group reporting and project control will be established. The manager will act as the central interface between operational units, finance, executive management, and the group, and will set up a sustainable change and training concept for users. - Planning and steering the ERP transformation program (IFRS transition, process harmonization, ERP rollout) - Analyzing, redesigning, and standardizing commercial core processes - Translating IFRS requirements into system structures and posting logic - Steering the ERP implementation including fit-gap analyses, process design, test management, and migration - Building a unified reporting and KPI framework - Stakeholder management and ensuring smooth communication - Leading interdisciplinary project teams and managing external consultants and implementation partners - Establishing a sustainable change and training concept - Ensuring measurable process improvements after the ERP system go-live

For an AI lab we are looking for phycists with python experience to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a phycist, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Design original computational physic problems that simulate real research workflows. - Create problems requiring Python programming to solve (using numpy, scipy, sympy). - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). - Develop problems requiring non-trivial reasoning chains. - Base problems on real research challenges or practical applications from physical practice. - Verify solutions using Python with standard libraries. - Document problem statements clearly and provide verified correct answers.

We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions. Although every project is unique, you might typically: - Designing structured test scenarios based on real-world tasks. - Defining the golden path and acceptable agent behavior. - Annotating task steps, expected outputs, and edge cases. - Working with devs to test your scenarios and improve clarity. - Reviewing agent outputs and adapting tests accordingly

For an AI lab we are looking for Ruby Developer to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. - Code generation and code review - Prompt evaluation and complex data annotation - Training and evaluation of large language models - Benchmarking and agent-based code execution in sandboxed environments - Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) - Adapting guidelines for new domains and use cases - Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects

- Vision & Strategy: You shape the roadmap for the POS system of the future and ensure we not only meet but anticipate our customers' needs. - Multi-Platform Excellence: You manage the development of our app ecosystem with a focus on Android. You understand the challenges of different form factors (from the compact card terminal to the large stationary tablet). - Delivery Management: You lead your cross-functional development team with clarity and enthusiasm. You facilitate ceremonies, remove blockers, and celebrate releases. - Requirements Engineering: You translate complex business logic into precise technical requirements and user stories that leave no questions unanswered for developers.

A company is looking for an experienced Java IT Architect for a project at a development bank with a duration of five months. The project's goal is to develop and optimize the IT architecture of operational and administrative systems and to analyze and implement business requirements into the bank's IT architecture. - Development of the IT architecture for operational and administrative systems. - Conducting impact analyses of business requirements on the IT architecture. - Monitoring and analyzing portfolio changes and preparing them for management decisions. - Creating IT concepts and performing migration tasks. - Using and evaluating AI plugins to support software development. - Ensuring security aspects in software development (secure coding, authentication, encryption). - Documenting the architecture and interfaces.

For an AI lab we are looking for Java Developer to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. - Code generation and code review - Prompt evaluation and complex data annotation - Training and evaluation of large language models - Benchmarking and agent-based code execution in sandboxed environments - Working across multiple programming languages - Adapting guidelines for new domains and use cases - Following project-specific rubrics and requirements - Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects

The company is in a phase with an increased need for highly specialized expertise in group taxes. The internal tax processes should be reviewed, further developed, and realigned in selected areas. There are also requirements to optimize existing structures, review the Tax Compliance Management System, and prepare for upcoming audits and strategic decisions. The goal of the project is to analyze, enhance, and align the company’s tax-relevant structures, processes, and control mechanisms with legal requirements and strategic business objectives. The results should enable the company to make tax processes more efficient and transparent and to ensure a solid foundation for future tax decisions and audits. Services - Analysis of the company’s existing tax processes and structures, including assessment of potential optimization areas. - Development of professional recommendations for tax strategies and the alignment of relevant tax procedures within the company. - Development of concepts to enhance the Tax Compliance Management System, including identification of suitable control mechanisms and documentation requirements. - Preparation of technical decision-making materials for senior management on tax issues, especially for complex business decisions with tax relevance. - Creation of an objective assessment to prepare for planned or ongoing tax audits, and coordination of approaches with external consulting partners. - Technical review of tax calculations and contents such as tax returns or year-end financial statement elements.

A company in the automotive supplier industry is looking for an experienced Infor AS Consultant to support the team in further developing and optimizing ERP functionalities. The project's goal is to ensure long-term system stability and functionality and continuously optimize ERP processes. The Consultant will work closely with the business units to implement system requirements, taking on an advisory and supportive role. The assignment is ideally 50% remote and 50% on-site near Schweinfurt, with at least one on-site visit required each month. - Designing, developing and optimizing ERP functionalities, taking into account legal and organizational requirements - Analyzing and resolving system disruptions and identifying root causes - Supporting business units through customizing and implementing ERP solutions - Providing second-level support for technical inquiries - Developing, administering and enhancing interfaces and maintaining existing integrations - Conducting and evaluating statistical analyses to monitor system functionality - Performing tests and handing over new processes to internal stakeholders - Providing ongoing support and assistance in optimizing active ERP processes

- Responsibility for coordinating and managing the entire production process of magazine publications - Planning and oversight of issue structure, schedules, adverts and workflows - Close collaboration with editorial, publishing management, marketing, technical, sales, printing plant and service providers - Quality assurance for layouts, texts and print approvals - Cost calculation and organization of supplementary products (e.g., inserts, posters, extensions) - Active role in strategic projects, conferences and the launch of new formats

A transformation and modernization project at the HKW Tiefstack site in Hamburg is looking for support. The aim of the project is to advance the energy and heat infrastructure into a future-ready and flexible system. Plant engineering, hydraulics, energy supply, and control systems play a central role. The project is in the implementation phase. The current responsible person will leave the project in about two months, so there is an immediate need to take over and ensure a smooth handover.

For an AI lab we are looking for cybersecurity consultants to train an AI model (Large Language Model - LLM). You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities - Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks. - Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents. - Develop and implement automation scripts, custom tools, environments and test harnesses. - Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model. - Advise on cybersecurity best practices and policy implications.

A company is looking for an experienced Quality Compliance Auditor responsible for ensuring adherence to GCP, GCLP, and GVP standards. The goal of the project is to conduct internal and external audits, prepare for and support regulatory inspections, and identify compliance gaps and derive corrective actions. The role includes planning and conducting audits, supporting regulatory inspections, and ensuring compliance with ICH guidelines as well as EMA/FDA regulations. - Conduct internal and external audits (GCP, GCLP, GVP) - Prepare for and support regulatory inspections (e.g. MHRA, FDA, EMA) - Identify compliance gaps and derive corrective actions

A company is looking for a Senior Regulatory Compliance Expert to support its team in preparing for FDA inspections. The role includes conducting mock inspections, providing strategic advice on inspection readiness, and assisting with pre-approvals and routine inspections. The ideal candidate has extensive expertise in regulatory compliance, especially FDA standards, and plays a key role in ensuring that the company meets global compliance requirements. - Conducting mock inspections according to FDA standards - Strategic advice on inspection readiness - Support for pre-approval and routine inspections

A medical technology company is looking for an experienced Cyber Security Consultant to act as an independent advisor at the intersection of software architecture, DevOps and regulatory affairs. The goal of the project is to develop and secure innovative digital health products (Software as a Medical Device / Connected Devices). This position includes purely specialist consulting, technical assessments and delivery of validated security artifacts, without operational management decisions. The focus is on translating regulatory requirements (FDA, MDR, EU CRA, NIS2) into technical solutions and objectively assessing security risks. - Holistic Threat Modeling: Conduct STRIDE-based analyses for APIs, cloud-native services, AI components and CI/CD pipelines, and maintain formal threat model reports. - Security Architecture & Design: Create technical data flow diagrams (DFD) and security architecture review reports to document security decisions in cloud and container environments. - DevSecOps & Supply Chain Security: Advise on hardening CI/CD pipelines, implementing "security-by-default" and managing SBOM artifacts (third-party risk). - Penetration Testing Support: Define the scope for pen tests and fuzzing, and technically validate the results and CVSS scores. - Vulnerability Management: Assess vulnerabilities (vulnerability impact assessments) and develop remediation plans. - Audit Preparation: Compile technical evidence and documentation for regulatory submissions (FDA, MDR, MDS2).

A company is looking for support in the "Crisis Management Enhancement" project. The aim of the project is to drive forward the development of crisis management (CM) and complete the implementation of the CM lifecycle. The CM lifecycle includes regular reviews of the crisis management plan, preparation and execution of crisis management exercises and workshops, as well as analysis and improvement of the crisis management system and crisis risks. The role involves coordinating all steps of the CM lifecycle, objectively evaluating the crisis management system, and developing proposals for improvement. Company-specific templates and presentations are also developed, and tests and exercises are prepared and followed up. Documenting and tracking lessons learned are part of the tasks, along with advising on and implementing potential improvements.