As part of the further development of reporting and analytics capabilities in the area of Business Continuity Management (BCM), the existing BI landscape is being migrated from Tableau to Microsoft Power BI. The goal is to build a future-proof, scalable data warehouse that provides a consolidated data foundation for enterprise-wide analyses. At the same time, existing reporting functionalities and automations in the HiScout standard software are to be analyzed and adapted with regard to new requirements. - **Consulting**: Advising on the architecture and building of a data warehouse based on Microsoft technologies (SQL Server, Power BI) - **Migration**: Consulting on the migration of existing reports and dashboards from Tableau to Power BI - **Data Analysis**: Analysis of existing data sources and design of suitable ETL processes - **Automation**: Integration and automation of data sources - **Requirements Analysis**: Conducting requirements analyses and creating technical concepts for reporting adjustments in HiScout - **Reporting**: Implementation and testing of reporting adjustments in HiScout - **Documentation**: Quality assurance and documentation of the work performed - **Training**: Consulting on the creation of training materials and knowledge transfer to internal teams

The ProMi Squad (Process Mining) project aims to transparently map the end-to-end order process in the portals area. Relevant data sources from ordering to activation are consolidated for this purpose. The holistic view of the end-to-end process enables the identification of process deviations and optimization potentials. Key milestones of the project are the integration of the required data sources, the development of self-service reports, and the implementation of automated alerts for deviations in the process flow. The challenge lies in the technical and functional integration of heterogeneous systems and data streams to ensure consistent monitoring and control of the order process. ⸻ Service description - Analysis and documentation of requirements in the omnichannel area using requirements management tools and structured elicitation methods - Functional and technical analysis of existing data sources and ETL processes using database tools - Recording and evaluation of existing interfaces between source and target systems based on technical documentation - Consulting on the technical integration of defined data sources into the Celonis environment, taking into account the tools used (Celonis EMS, Data Pool, and Data Push API) - Creation of technical queries and representations for process visualization based on the provided platform functions (Celonis PQL, Studio) - Use of system functions for visualization and analysis of existing business processes (via the Celonis Process Explorer) - Functional consulting on technical interfaces, data provisioning, and system prerequisites

Design and build a modern data platform in the Azure Cloud for an e-commerce company. Implementation of scalable data pipelines and a lakehouse architecture. - **Typical tasks:** - Design and implementation of ETL/ELT processes with Azure Data Factory/Databricks. - Setup and management of data infrastructure (Data Lake, Synapse). - Development of data models and ensuring data quality. - Automation of deployments using IaC (Terraform). - Performance tuning and coordination with stakeholders. - **Relevant technologies, tools & methods:** - Azure Data Factory, Synapse, Databricks, Data Lake Storage. - Apache Spark, Delta Lake. - Python (PySpark), SQL. - Terraform, Azure DevOps. - **Typical KPIs & success metrics:** - Data latency, pipeline uptime (>99.9%), query performance, cost efficiency. - **Key challenges & risks:** - High data volumes, GDPR compliance, avoiding data silos. - **Deliverables:** - Production-ready data pipelines, structured data lake/warehouse, IaC scripts, technical documentation.

For a client in the IT sector, an experienced IT architect with a focus on relational database management systems (RDBMS) is sought to take responsibility for the solution design of a new data-intensive application. - **Typical areas of responsibility:** - Analysis of existing system landscapes and gathering of functional and technical requirements for data storage. - Design and conception of a scalable, highly available, and secure RDBMS architecture (e.g., based on PostgreSQL, Oracle, or MS SQL Server). - Creation and optimization of data models (physical, logical) and definition of data flows. - Consulting of the development team in the implementation of database structures, stored procedures, and queries. - Planning and support of data migration strategies from legacy systems. - Definition of standards for backup, recovery, and disaster recovery scenarios. - **Relevant technologies, tools or methods:** - RDBMS: PostgreSQL, Oracle, MS SQL Server, MySQL/MariaDB - Cloud platforms: AWS RDS, Azure SQL, Google Cloud SQL - Modeling tools: ER/Studio, Sparx Enterprise Architect, draw.io - DevOps & IaC: Terraform, Ansible, Jenkins for database deployment automation - Monitoring: Prometheus, Grafana, specialized DB monitoring tools (e.g., pgAdmin, Oracle Enterprise Manager) - **Typical KPIs or success metrics:** - System availability and uptime (> 99.95%) - Response times of critical database queries (< 200ms) - Adherence to RTO/RPO targets (Recovery Time/Point Objective) - Scalability: performance under load simulation (e.g., 2x user growth) - Reduction of database operating costs through optimized design. - **Key challenges, risks or specifics:** - Ensuring data consistency and integrity in distributed systems. - Management of schema changes in production (zero-downtime deployment). - Balancing normalization and performance optimization (denormalization). - Securing sensitive data in accordance with GDPR and other compliance requirements. - **Concrete deliverables:** - Final architecture document (Solution Architecture Document) for the database solution. - Implemented and approved data model. - Proof-of-concept for critical non-functional requirements (e.g., high availability). - Migration plan and test protocols. - **Lessons learned / best practices:** - Early involvement of development and operations teams is essential. - Automated tests for database schema changes prevent regression errors. - Consider security-by-design from the outset, not as an add-on.

A company is looking for an experienced expert with comprehensive knowledge of License Manager, Inventory Server, and Integration Manager. The project’s goal is to optimize and integrate existing systems and ensure that all processes run efficiently and smoothly. In this role, the expert will work closely with internal teams to analyze requirements, implement solutions, and monitor the systems. Key responsibilities: - Analyzing and optimizing existing systems (License Manager, Inventory Server, Integration Manager) - Integrating new processes and tools - Collaborating with internal teams for requirements analysis - Ensuring system efficiency and security - Documenting and training teams

For the further development of a complex ServiceNow platform, a developer specializing in the middle layer is sought. The focus is on implementing business logic, integrations, and processing data between the frontend and backend systems. - **Typical areas of activity:** - Design and development of server-side business logic in ServiceNow using Business Rules, Script Includes, and Workflows. - Designing, implementing, and maintaining REST- and SOAP-based integrations with third-party systems (e.g., SAP, Jira, HR systems) via IntegrationHub or custom scripts. - Developing and optimizing data flows and transformations within the platform. - Performance analysis and optimization of server-side scripts and database interactions. - Ensuring platform stability and security through robust and error-resistant coding. - **Relevant technologies, tools, or methods:** - ServiceNow platform: in-depth knowledge of the Glide API (GlideRecord, GlideSystem), server-side scripting (JavaScript ES5). - Integrations: IntegrationHub (Spokes), REST/SOAP API Explorer, JSON, XML. - Automation: Flow Designer, Workflow Editor. - Development tools: ServiceNow Studio, VS Code with ServiceNow plugins. - Methodology: Agile (Scrum), use of Update Sets and Application Scopes for deployment. - **Typical KPIs or success metrics:** - Transaction response times for critical middle-layer processes. - Error rate in API calls and integrations (< 1%). - Success rate of automated workflows. - Code complexity (e.g., measured via SonarQube integration). - Adoption rate of new functionalities enabled by the middle layer. - **Specific challenges, risks, or specifics:** - Complexity of dependencies between various ServiceNow modules and external systems. - Ensuring scalability with high transaction volumes. - Debugging asynchronous processes and integrations. - Adhering to ServiceNow best practices to avoid jeopardizing platform upgradability ("out-of-the-box" vs. customizing). - **Concrete deliverables:** - Implemented and tested Script Includes and Business Rules. - Fully configured and documented integrations in IntegrationHub. - Technical documentation of developed logic and data flows. - Completed Update Sets, ready for deployment to the production environment. - **Lessons learned/best practices:** - Encapsulate reusable logic in Script Includes instead of duplicating it in multiple Business Rules. - Prefer asynchronous Business Rules for long-running operations to avoid blocking the user experience. - The Flow Designer is preferred over the classic Workflow Editor for new automations.

Setting up and further development of a Customer Data Platform (CDP) to optimize digital marketing campaigns. The goal is to create a 360-degree view of the customer. - Typical areas of responsibility: conceptualizing the CDP strategy, defining use cases, integrating data from various sources (CRM, web analytics, email marketing), segmenting target audiences, setting up and monitoring personalized marketing automation workflows, performance analysis and reporting. - Relevant technologies, tools or methods: CDP systems (e.g. Segment, Tealium, mParticle), CRM systems (e.g. Salesforce), web analytics tools (e.g. Google Analytics), email marketing tools, A/B testing frameworks, SQL, data visualization tools (e.g. Tableau). - Industry-typical KPIs or success metrics: conversion rate, customer lifetime value (CLV), churn rate, marketing ROI, engagement rate, number of customer profiles captured in the CDP. - Special challenges, risks or specifics: ensuring GDPR compliance, data quality and harmonization, complex system integrations, building internal know-how, platform scalability. - Concrete examples of deliverables: implemented and configured CDP, documentation of data flows and use cases, deployed automation campaigns, regular performance dashboards, training materials for the marketing team.

In assignment for a renowned client in the life sciences sector, a freelance support is sought in the area of Clinical Data Management. The main task is taking responsibility for coordinating all data management activities in clinical trials. - Typical responsibilities in this role:** - Creation and review of the Data Management Plan (DMP) and the Data Validation Plan (DVP). - Design and implementation of electronic case report forms (eCRFs) in EDC systems (Electronic Data Capture). - Coordination of data collection, validation, and cleaning throughout the study lifecycle. - Development and execution of query processes to resolve data inconsistencies with investigative sites. - Medical coding of adverse events (AEs) and medications (e.g., using MedDRA, WHODrug). - Conducting SAE reconciliation (matching serious adverse events). - Preparation and execution of database locks after data collection is complete. - Preparation of status reports and communication with the study team (project management, monitoring, biostatistics). - Relevant technologies, tools, or methods:** - EDC Systems: Medidata Rave, Oracle Clinical, Viedoc, Zelta, OpenClinica. - Programming/analysis tools: SAS, R, Python, SQL. - Standards: CDISC (SDTM, ADaM), GCP (Good Clinical Practice), 21 CFR Part 11. - Collaboration tools: MS Teams, Jira, Confluence. - Data visualization: Tableau, Power BI. - Typical KPIs or success metrics:** - Data quality: Query rate (number of queries per 1,000 data points) < X; data entry error rate < 1%. - Time management: Time from last patient last visit (LPLV) to database lock (target: 4–6 weeks). - Efficiency: Average time to query resolution (target: < 10 business days for critical queries). - Compliance: 100% adherence to DMP-defined milestones and processes. - Protocol adherence: Rate of protocol deviations related to data management < 5%. - Key challenges, risks, or specifics:** - Managing increasing volumes and sources of data (e.g., wearables, ePROs). - Ensuring data integrity and security (cybersecurity, data protection/GDPR). - Complexity due to mid-study changes (protocol amendments) and their impact on the database. - Ensuring consistent data quality across multiple global investigative sites. - Shortage of qualified specialists and high demands for onboarding in study-specific systems. - Concrete deliverables:** - Finalized and approved Data Management Plan (DMP). - Live and validated study database (EDC system). - Regular data cleaning reports and status updates. - Clean, quality-assured, and analysis-ready database. - Final locked study database with complete audit trail. - Archived project documentation after study close-out.

A company is looking for an experienced Mendix Lowcode Developer to develop mobile and web applications using the Mendix low-code development platform. - Development of mobile and web applications with Mendix - Creation of user interfaces based on templates and components - Definition of data structures and program logic in Mendix - Collaboration with clients on requirements definition

A company is looking for an expert in handling ECLASS for product classification. The goal of the project is to create a company-wide classification system for unambiguous description of products and services, similar to ECLASS. The expert will work closely with the specialist departments to capture company-specific requirements and terms. In addition, a central database structure for the classification system will be created, documented, and a training concept for company-wide application and integration will be developed. - Creation of a company-wide classification system for unambiguous description of products and services. - Coordination with specialist departments to capture company-specific requirements and terms. - Development of a central database structure for the classification system. - Documentation and creation of training concepts for company-wide application and integration.

A consulting firm is urgently seeking an experienced freelancer to fill a vacancy due to a resignation. The main goal of the project is to migrate the existing on-premises print servers to a cloud-based printing infrastructure using Canon uniFLOW Online and Microsoft Universal Print. The role includes performing the migration as well as potentially supporting the existing on-premises printing environment during the transition. Optionally, the role may also encompass ongoing support and administration after the migration until a permanent placement is found. - Perform the migration of on-premises print servers to Canon uniFLOW Online and Microsoft Universal Print - Support the existing on-premises printing environment during the transition - Optional: ongoing support and administration after the migration until the role is permanently filled

For a project in the power plant environment, a freelance specialist for the migration and adaptation of the ABB 800xA control system is urgently sought. - Typical tasks in this role:** - Implementation of programming and commissioning with the ABB 800xA process control system. - Migration of existing control system logic to the new system version, including adaptation of controllers and I/O modules. - Creation and adaptation of process displays, operator interfaces, and alarm management configurations. - Execution of system tests, error analysis, and performance optimizations to ensure plant availability and controllability. - Technical support for operations personnel during the commissioning and ramp-up phase. - Preparation and maintenance of technical documentation (functional diagrams, configuration descriptions, test protocols). - Close collaboration with the process engineering, electrical engineering departments, and the plant operator. - Relevant technologies, tools or methods:** - Control system: ABB Ability™ System 800xA (including AC 800M controller, Information Management, Batch Control). - Engineering tools: Control Builder M, Process Graphics Migration Tool, Bulk Data Manager. - Fieldbus systems: PROFIBUS, Foundation Fieldbus, Modbus. - Virtualization: VMware, Hyper-V for test and development environments. - Databases: SQL knowledge for analysis of historical data (e.g. 800xA History). - Knowledge of relevant standards for process and power plant technology (e.g. IEC 61508, IEC 61511). - Typical KPIs or success metrics:** - Migration speed: number of migrated system components/functions per week/month. - System availability: control system uptime after migration > 99.9%. - Commissioning error rate: number of critical software bugs after go-live < 5. - Test coverage: percentage of successfully executed and documented test cases > 95%. - Adherence to project schedule: completion of migration and commissioning by the defined deadline. - Operator acceptance: positive feedback from operations personnel on the new system environment. - Specific challenges, risks or peculiarities:** - Migration during live operation (“brownfield”) with minimal downtime. - Ensuring compatibility between old and new system components (hardware/software). - High complexity of process logic in power plants (e.g. boiler control, turbine regulation). - Risk of cybersecurity vulnerabilities in networked control systems (e.g. CVEs for 800xA). - Management of interfaces to third-party systems (e.g. MES, ERP). - Need for intensive and precise collaboration between control engineering, process engineering, and operations. - Concrete deliverables:** - Migrated and operational control logic on the target system. - Fully tested and customer-approved process displays and operator interfaces. - Acceptance protocols for Factory Acceptance Test (FAT) and Site Acceptance Test (SAT). - Updated technical plant documentation. - Final migration report with lessons learned. - Trained operations personnel.

A company is seeking a skilled Embedded Linux Engineer to support the rollout and commissioning of new hardware modules at a leading technology manufacturer. The role involves hardware-related software development, device driver programming, and direct troubleshooting with hardware teams on-site. Typical project responsibilities: - Develop and adapt Linux device drivers for custom hardware modules - Kernel customization, system integration and performance optimization of Embedded Linux systems - Conduct unit and integration tests on target hardware - Work closely with hardware development for debugging and failure analysis - Document software architectures and implementations for internal knowledge transfer - Support the deployment of the modules in production environments Key technologies/tools/methodologies: - Embedded Linux (Yocto/Buildroot), C/C++, shell scripting - Debugging tools: JTAG, gdb, logic analyzers - Version control (Git), CI/CD for embedded projects KPIs/Success Metrics: - On-time commissioning of modules, system uptime/MTBF, error rate in field use, stability under resource constraints Special challenges/risks: - Hardware/software integration under time pressure, managing resource limitations on embedded devices Deliverables: - Ready-to-use hardware modules with tested Linux firmware - Complete project and code documentation, transfer of know-how to client teams Lessons Learned/Best Practices: - Intensive cross-team collaboration, early integration testing, automated regression testing and code reviews

A company is looking for a specialist site manager for electrical engineering as well as a specialist site manager for control engineering (Siemens T3000) for a demanding project. The aim of the project is the technical monitoring and control of the control system interfaces of the existing plant during the integration of the new plant, as well as ensuring quality and contract compliance during the construction and commissioning phase. The role requires intensive coordination and monitoring of interfaces with construction planning due to the size of the project. The site manager will work closely with control engineers, planners, experts and contractors to ensure the successful implementation of the project. Key responsibilities: - Technical monitoring of the control system interfaces of the existing plant during the integration of the new plant - Technical management of control engineers, planners, experts and contractors - Preparation of technical and project phase–dependent documentation - Participation in project meetings and negotiations - Technical management of quality assurance and quality control during the construction and commissioning phase - Consulting on control system commissioning - Technical coordination with design engineers on quality monitoring tasks - Monitoring contract compliance and conducting quality inspections - Participation in safety meetings and implementation of measures to address identified deficiencies

On behalf of a leading medical technology company, an experienced technical drafter or product designer is being sought to create and maintain technical documentation and design drawings. - **Typical responsibilities:** - Creation of standards-compliant 2D manufacturing drawings and 3D models of parts and assemblies using CAD software. - Detailing and dimensioning of designs, considering geometric and positional tolerances. - Creation and management of bills of materials and technical documents in the PDM/PLM system (e.g., SAP ECTR). - Implementation of revision services on existing drawings and documentation. - Close collaboration with the development and production departments to ensure manufacturability. - **Relevant technologies, tools or methods:** - CAD systems: Siemens NX, SolidWorks, CATIA V5, Autodesk Inventor (depending on client system) - PDM/PLM systems: SAP ECTR, Teamcenter, Windchill - Standards: thorough knowledge of relevant ISO and DIN standards for technical drawings, especially in regulated environments. - ERP systems: SAP S/4HANA - **Typical KPIs or success metrics:** - On-time delivery of drawings and documents. - Error rate in technical documentation (number of required correction loops). - Compliance with internal and external design and documentation standards. - Efficiency in implementing changes (throughput time). - **Key challenges, risks or specifics:** - High demands on accuracy and completeness of documentation due to strict regulatory requirements in medical technology (MDR). - Seamless traceability of changes (versioning). - Complexity of parts to be designed (e.g., freeform surfaces, complex assemblies). - Close coordination with various stakeholders (development, purchasing, quality assurance, production). - **Concrete deliverables:** - Approval-ready 2D manufacturing drawings and 3D CAD models. - Complete and released bills of materials in the ERP system. - Updated technical product documentation. - Change logs. - **Lessons learned/best practices:** - A clear and standardized template management significantly accelerates the creation process. - Regular alignment meetings with production can prevent costly errors early. - Careful maintenance of master data in the PDM/PLM system is the foundation for efficient collaboration.

For a large pharmaceutical company, an IMP (Investigational Medicinal Product) Quality Manager is sought to ensure GMP compliance and quality of investigational products. **Typical responsibilities in this role:** - Review and approval of manufacturing and batch protocols (Batch Records) for drug substance and drug product. - Execution of final quality release of investigational products for use in clinical trials. - Review and approval of GMP-relevant documents such as SOPs, validation reports, deviations and change control requests. - Creation and maintenance of product-specific quality agreements with internal and external partners. - Support for production and QC departments on all GMP-related questions and quality issues. - Planning and conducting internal audits and support during regulatory inspections and external audits. - Management and oversight of CAPA (Corrective and Preventive Actions) measures for sustainable problem resolution. **Relevant technologies, tools or methods:** - Quality management systems (QMS): Veeva Vault QMS, MasterControl, TrackWise, SAP QM. - Document Management Systems (DMS): Veeva Vault, OpenText Documentum. - ERP systems: SAP S/4HANA (especially QM module). - Laboratory Information Management Systems (LIMS). - Manufacturing Execution Systems (MES). - Methods: risk analysis (FMEA), root cause analysis (5 Whys, Ishikawa), statistical process control (SPC). **Typical KPIs or success metrics:** - Batch Release Time: average time from production completion to final release (target: < X days). - Right-First-Time Rate: percentage of batches released without deviations or rework (target: > 95%). - CAPA Effectiveness: reduction in recurrence rate of deviations after CAPA implementation (target: > 80%). - Audit Performance: number of critical/major findings in internal and external audits (target: 0). - Deviation Closure Rate: percentage of deviations closed within the defined timeframe (target: > 90%). **Key challenges, risks or specifics:** - High complexity and variability due to the development of new molecules and processes in the clinical phase. - Strict adherence to constantly evolving GMP regulations (e.g. EU Annex 1 for sterile products). - Ensuring product quality and patient safety under high time pressure (time-to-market). - Managing interfaces between development, manufacturing, QC, and regulatory affairs. - Risk of supply chain interruptions for critical raw materials or services. - Ensuring data integrity in all quality-relevant systems. **Concrete deliverables:** - Released batches of investigational products. - Approved master batch records and SOPs. - Completed and assessed deviation and change reports. - Audit and inspection reports with tracked action plans. - Valid quality agreements with all relevant partners. - Regular quality reports for management.

Setup and further development of a test automation suite for the core applications of a large insurance company to increase release speed and quality. - **Typical Tasks:** - Analysis of test processes and identification of automation potential. - Selection, configuration, and implementation of automation frameworks. - Development and maintenance of automated test scripts. - Integration of tests into CI/CD pipelines (Jenkins, GitLab). - Test data management and reporting. - **Relevant Technologies, Tools & Methods:** - Selenium, Cypress, Playwright, Tosca, Postman. - Java, Python, JavaScript. - TestNG, JUnit, Cucumber. - Jenkins, GitLab CI, Docker, Jira. - **Typical KPIs & Success Metrics:** - Automation rate (>70%), reduction of test execution time, defect detection rate. - **Key Challenges & Risks:** - Complex legacy UIs, stable test data management, maintainability of scripts. - **Deliverables:** - Documented test automation framework, automated test suite, CI/CD integration, test reports.

Development and maintenance of backend services in a microservices architecture using Go (Golang) for a technology company. - Typical responsibilities: Designing and implementing RESTful APIs, connecting to databases (SQL/NoSQL), developing high-performance and scalable microservices, writing unit and integration tests, conducting code reviews, contributing to the architecture and design of the system landscape, deploying and operating services in a cloud environment. - Relevant technologies, tools or methods: Go (Golang), Docker, Kubernetes, AWS/GCP/Azure, PostgreSQL/MongoDB, gRPC, Git, CI/CD pipelines (e.g. with GitLab CI, Jenkins), Prometheus, Grafana. - Industry-specific KPIs or success metrics: API response times, system availability (uptime), error rate, scalability under load, code coverage by tests. - Key challenges, risks or specifics: Ensuring consistency in a distributed system, handling concurrency, performance optimization, managing dependencies between services. - Concrete examples of deliverables: Operational and documented microservices, API documentation (e.g. with Swagger/OpenAPI), established CI/CD pipelines, unit and integration tests, technical architecture diagram.

A leading automotive supplier is seeking an experienced quality expert for the inspection of weld seams on safety-critical body components. The project includes ensuring the highest quality standards through non-destructive testing methods. - Typical tasks: Independent planning, execution and evaluation of non-destructive tests (NDT), in particular visual testing (VT) and ultrasonic testing (UT). Creation and management of test plans and work instructions. Detailed documentation of test results in CAQ systems. Analysis of defect patterns and initiation of corrective actions in close coordination with welding shop and production planning. Calibration and maintenance of testing equipment. - Relevant technologies/tools: Ultrasonic testing devices, endoscopes, videoscopes, CAQ software (e.g. Babtec, QSYS), knowledge of standards DIN EN ISO 9712, ISO 5817, as well as relevant VDA volumes. - KPIs/success metrics: First Pass Yield (FPY) > 98%, reduction of internal defect rate (PPM), zero-defect tolerance on safety-critical seams (escape rate = 0), on-time completion of test orders. - Special challenges: Evaluating complex seam geometries under time pressure. Clear interpretation of test results and distinguishing between permissible irregularities and critical defects. Enforcing quality standards against production. - Deliverables: Completed test protocols, detailed defect analyses and reports, updated work and test instructions, contributions to FMEAs (Failure Mode and Effects Analysis). - Best practices: Regular team coordination (shopfloor management), continuous improvement of test processes (CIP), raising awareness and training of production staff.

For an internationally active manufacturer of special machinery, an experienced PLC programmer is sought to implement demanding automation projects. The focus is on new programming and commissioning of control systems. - Typical areas of responsibility: Development, testing and documentation of PLC software for new systems using Siemens SIMATIC S7 (TIA Portal) and/or CODESYS V3. Creation and adaptation of HMI visualizations (e.g., with WinCC Unified, TwinCAT HMI). Commissioning of machines and systems at the customer site (including I/O checks, configuration of fieldbus systems such as Profinet/EtherCAT, functional tests). Systematic troubleshooting and optimization of existing systems. Technical support for customer service. - Relevant technologies/tools: Siemens TIA Portal, SIMATIC S7-1500, CODESYS V3, Beckhoff TwinCAT, WinCC, various fieldbus configurators, EPLAN P8 (reading circuit diagrams). - KPIs/success metrics: Adherence to development and commissioning schedules, reduction of commissioning time through high software quality, machine cycle time and availability (OEE), customer satisfaction after commissioning. - Special challenges: Integration of hardware and software components from various manufacturers. Working under time pressure during on-site commissioning. Ensuring functional machine safety (Safety PLC) according to standards (e.g., ISO 13849-1). - Deliverables: Operational, fully documented PLC programs, final HMI projects, signed commissioning and acceptance protocols, creation or supplementing of operating manuals. - Best practices: Structured programming according to standards (e.g., IEC 61131-3), modular and reusable software blocks, consistent version control of code (e.g., in Git).