The successful candidate will work closely with stakeholders to understand business requirements, design and potenitally also develop/change existing solutions, ensuring seamless integration with existing systems. Deine Aufgaben Key Responsibilities: Design and Development: Maintain business applications using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
Aufbau einer Log-Ingestion- und Parsing-Pipeline für mehrgigabytegroße Archive (ZIP/XML/JSON/Windows-Event-Logs), um normalisierte Ereignisdaten zu erzeugen Ereigniskorrelation und Datenanreicherung (zeitliche Sortierung, korrelierte Events aus unterschiedlichen Quellen, unscharfer Abgleich mit einer Fehler-/FMEA-Wissensdatenbank) Entwicklung einer Embedding- und Hybrid-Retrieval-Pipeline (Azure OpenAI Embeddings + Keyword-Suche + Vektor-Suche) mit klar definierten Zielen für Latenz und Durchsatz Durchführung von Datenqualitätsprüfungen (Schema-Validierung, Encoding-Checks, Erkennung von Duplikaten) sowie Erstellung einer präzisen technischen Übergabedokumentation Erfahrung in Implementierung von ETL/ELT-Prozessen in Python zur Verarbeitung großer und heterogener Log-Datenmengen Kenntnisse Design von Schemas und Datenmodellen für normalisierte Events und Wissensbank-Dokumente (JSON/JSONL + SQL) Aufbau/Optimierung von Vektorindex-Sammlungen und Relevanzbewertungen (BM25/TF-IDF + Cosine Similarity) Performance-Optimierung (Batching, Caching) und Bereitstellung wartbaren Codes inkl.
Aufbau einer Log-Ingestion- und Parsing-Pipeline für mehrgigabytegroße Archive (ZIP/XML/JSON/Windows-Event-Logs), um normalisierte Ereignisdaten zu erzeugenEreigniskorrelation und Datenanreicherung (zeitliche Sortierung, korrelierte Events aus unterschiedlichen Quellen, unscharfer Abgleich mit einer Fehler-/FMEA-Wissensdatenbank)Entwicklung einer Embedding- und Hybrid-Retrieval-Pipeline (Azure OpenAI Embeddings + Keyword-Suche + Vektor-Suche) mit klar definierten Zielen für Latenz und DurchsatzDurchführung von Datenqualitätsprüfungen (Schema-Validierung, Encoding-Checks, Erkennung von Duplikaten) sowie Erstellung einer präzisen technischen Übergabedokumentation Erfahrung in Implementierung von ETL/ELT-Prozessen in Python zur Verarbeitung großer und heterogener Log-DatenmengenKenntnisse Design von Schemas und Datenmodellen für normalisierte Events und Wissensbank-Dokumente (JSON/JSONL + SQL)Aufbau/Optimierung von Vektorindex-Sammlungen und Relevanzbewertungen (BM25/TF-IDF + Cosine Similarity)Performance-Optimierung (Batching, Caching) und Bereitstellung wartbaren Codes inkl.
Unternehmensprofil Für unseren Kunden, einen führenden Anbieter von Content- und Customer Experience Management-Systemen mit Hauptsitz in einer Metropole im östlichen Ruhrgebiet, haben wir verschiedene hoch interessante Positionen zu besetzen. Aufgaben Bestimmung der Architektur und des Designs bestehender und zukünftiger Digital-Experience Plattformen Einsatz von "State-of-the-art"-Technologien zum Bau von hochverfügbaren und selbstskalierenden Plattformen Entwicklung von Plattformen, die sowohl in der Cloud als auch on-premise betrieben werden können Dienstsitz: Dortmund, Münster, München Einstellungsdatum: schnellst möglich Gehalt: nach Vereinbarung Anforderungen praktische Erfahrung im Bau von verteilten, hochverfügbaren und skalierbaren Systemen Kenntnis von (Micro-)Service-Architekturen und der Verarbeitung von Events in Echtzeit Erfahrungen mit Best-Practices-Themen wie automatisierte, cloud-basierte Softwareentwicklung sowie Design von Software und Services Kenntnisse in Produktentwicklung und Betrieb Kenntnis und Einsatz "junger" Technologien wie Docker und Kubernetes Selbständigkeit, Kreativität und Leidenschaft für die gestellten Aufgaben Kundenorientierung Teamfähigkeit Sehr gute Deutsch- und Englischkenntnisse Angebot Eine Atmosphäre in der die Mitarbeiter selbständig lernen, kreativ sind und den Status Quo hinterfragen können Interessante und hoch kompetente Kollegen Namhafte Kunden und anspruchsvolle Aufgaben Sorgsame Einarbeitung und gute Entwicklungsmöglichkeiten Flexible Arbeitszeiten, Mitarbeiterevents, Teamgeist, "Social Benefits"
YOUR TASKS: Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets. Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup. Create technical documentation.
Das wünschen wir uns: Abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare Qualifikation Mehrjährige Erfahrung im Bereich System- und Anwendungsintegration Fundierte Kenntnisse in Integrationsarchitekturen und -mustern, z.B. API-Design und -Management, Middleware-, ESB- oder iPaaS-Lösungen (z. B. MuleSoft Anypoint, SAP PI/PO, BizTalk o. ä.), Datenformaten und Protokollen (JSON, XML, REST, SOAP, OAuth, HTTP, Messaging) Gute Erfahrung mit agilem Projektmanagement (SCRUM) und idealerweise mit Cloud-Umgebungen (AWS, Azure) Erfahrung mit SAP S4 HANA-Integrationen sowie Grundkenntnisse in Programmiersprachen/Skripting (z.
Location: Mobile work (Germany-wide) What you’ll do Empower customers: Identify, design, and implement data‑ and AI‑driven use cases for external clients across diverse industries. Build the backbone: Collaborate with other Data Engineers to enhance and integrate solutions into existing data and platform architectures.
As an IT Data Engineer, you will contribute to discover insights about our customers and internal operations, by designing and implementing data pipelines and models, as well as maintaining and improving existing ones, so that you and your team can accelerate business experimentation and influence data-driven-augmented decision making. Tasks & Responsibilities Design and implement data pipelines to extract, transform, and load data from various sources, including databases, cloud storage, and APIs.
As an IT Data Engineer, you will contribute to discover insights about our customers and internal operations, by designing and implementing data pipelines and models, as well as maintaining and improving existing ones, so that you and your team can accelerate business experimentation and influence data-driven-augmented decision making. Tasks & Responsibilities Design and implement data pipelines to extract, transform, and load data from various sources, including databases, cloud storage, and APIs.
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
Impact & Team Power: High degree of creative freedom and unbeatable team power in a high performance work environment Salary & Employee Discounts: Secure job with the pioneer of discounts offering an attractive salary and corporate benefits Your tasks Lead the SAP development within the S/4HANA transformation program, functional developments and operational business Ensure all custom developments comply with SAP Clean Core principles and standardized development guidelines Design and implement scalable, maintainable custom solutions using ABAP, CDS Views, OData services, and Fiori/UI5 Collaborate with solution architects and challenge technical designs proposals Oversee integration scenarios leveraging SAP BTP services (CAP, Integration Suite, Workflow Management) Establish and enforce development best practices, code reviews, and quality assurance processes Support migration activities and ensure compatibility with future SAP upgrades Act as a technical mentor for development teams and coordinate offshore/nearshore resources Your profile Degree in Business Informatics or a comparable qualification Several years of experience in SAP development (ABAP, CDS, Fiori/UI5) Experience in SAP S/4HANA transformation projects and custom development governance Familiarity with SAP BTP services and cloud integration patterns as well as experience with SAP CAP (Cloud Application Programming Model) Ability to critically assess architecture proposals and provide sustainable alternatives Knowledge of API management and event driven architectures Familiarity with DevOps tools and CI/CD pipelines for SAP environments Strong knowledge of performance optimization and secure coding practices Very good German & English language skills, both spoken and written SAP-Developer-Core-Platform-m-f-d-Essen
What you will do Own and evolve the Commerce Cloud’s AWS infrastructure through the application of Infrastructure-as-Code (IaC) principles to ensure scalability, high availability, and cost efficiency Design, implement, and optimize CI/CD pipelines and operational workflows utilizing tools such as GitLab CI, AWS CloudFormation, and Terraform.
OSS-Umfeld und Verständnis für komplexe serviceorientierte Betriebsmodelle Erfahrung mit ServiceNow-Modulen wie OMT, TNI oder FSM oder vergleichbaren hochskalierenden Enterprise-Plattformen Fundierte Kenntnisse der ServiceNow-Plattform, insbesondere in Architektur, Datenmodellen, Entwicklung (JavaScript, Glide, Flow Designer, IntegrationHub, ATF), Security, CI/CD und Integrationen Tiefgehendes Verständnis von Rollen- und Berechtigungskonzepten, Security-Architekturen sowie Compliance-Anforderungen Ausgeprägte Kompetenz in Integrationstechnologien, insbesondere REST, SOAP und MID Server Hohe Kommunikationsstärke, Dialogorientierung und Überzeugungskraft Sehr gute Deutsch- und Englischkenntnisse Zusätzliche Informationen Unser Portfolio ist auf deine Bedürfnisse zugeschnitten.
OSS-Umfeld und Verständnis für komplexe serviceorientierte Betriebsmodelle Erfahrung mit ServiceNow-Modulen wie OMT, TNI oder FSM oder vergleichbaren hochskalierenden Enterprise-Plattformen Fundierte Kenntnisse der ServiceNow-Plattform, insbesondere in Architektur, Datenmodellen, Entwicklung (JavaScript, Glide, Flow Designer, IntegrationHub, ATF), Security, CI/CD und Integrationen Tiefgehendes Verständnis von Rollen- und Berechtigungskonzepten, Security-Architekturen sowie Compliance-Anforderungen Ausgeprägte Kompetenz in Integrationstechnologien, insbesondere REST, SOAP und MID Server Hohe Kommunikationsstärke, Dialogorientierung und Überzeugungskraft Sehr gute Deutsch- und Englischkenntnisse Zusätzliche Informationen Unser Portfolio ist auf deine Bedürfnisse zugeschnitten.
OSS-Umfeld und Verständnis für komplexe serviceorientierte Betriebsmodelle Erfahrung mit ServiceNow-Modulen wie OMT, TNI oder FSM oder vergleichbaren hochskalierenden Enterprise-Plattformen Fundierte Kenntnisse der ServiceNow-Plattform, insbesondere in Architektur, Datenmodellen, Entwicklung (JavaScript, Glide, Flow Designer, IntegrationHub, ATF), Security, CI/CD und Integrationen Tiefgehendes Verständnis von Rollen- und Berechtigungskonzepten, Security-Architekturen sowie Compliance-Anforderungen Ausgeprägte Kompetenz in Integrationstechnologien, insbesondere REST, SOAP und MID Server Hohe Kommunikationsstärke, Dialogorientierung und Überzeugungskraft Sehr gute Deutsch- und Englischkenntnisse Zusätzliche Informationen Unser Portfolio ist auf deine Bedürfnisse zugeschnitten.
Tradition und Verantwortung: Seit 1750 entwickelt und produziert Siedle als eigenständiges Unternehmen am Standort Furtwangen und sichert mit Innovation, hoher Qualität und einzigartigen Design deine Zukunftsperspektive. Nachhaltigkeit & Umweltbewusstsein: Dies ist Teil der Siedle-DNA. Von der Entwicklung bis zur Produktion denkt Siedle heute schon an morgen!
What makes you stand out You hold a degree in Computer Science, Business Informatics, or a comparable qualification.You have strong expertise in SQL databases, including data modeling, table design, and data querying — ideally with experience in Snowflake.You bring experience in developing and integrating data products and are familiar with Azure Data Factory, Python, and modern cloud technologies (preferably Azure).You have hands‑on experience creating meaningful Power BI reports; knowledge of CI/CD or container technologies (e.g., Docker, Kubernetes) is a plus.You work analytically, communicate effectively, collaborate well in teams, and demonstrate a strong hands‑on mentality.You are fluent in English and have very good German skills; you also have a passion for financial databases and enjoy exploring new topics.
DAS BRINGEN SIE MIT: Studium Bachelor-Abschluss in Informatik oder einem verwandten Bereich und ISTQB-Zertifizierung ist erforderlich Berufserfahrung mehr als 2 Jahre Erfahrung in der Softwareentwicklung Bewährte Erfahrung im Design, der Entwicklung und der Implementierung von automatischen Tests und deren Integration in bestehende Testumgebungen und Testframeworks.
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design, build and optimize enterprise Tableau dashboardsDevelop reporting-friendly data models on Cloudera Data Platform (Hadoop) and Azure Databricks (Delta Lake, SQL Warehouses)Implement and tune SQL queries (Hive, Impala, Spark SQL, Databricks SQL) for performance, cost efficiency and concurrencyApply Tableau performance optimization strategies (extract vs live, push-down optimization, query tuning)Design and implement secure enterprise Tableau configurations, including row-level security aligned with role conceptsEnsure compliance with IT security, data governance and regulatory requirementsCollaborate with data platform teams, DataOps, IT security/compliance and controlling solutionsProduce professional documentation: data models, dashboard specifications, data-source definitions, security concepts, test casesConduct testing for accuracy, performance, access control and stability of dashboards and data modelsProvide knowledge transfer, coaching and structured handover to internal teams Strong hands-on experience with Tableau Desktop and Tableau Server/Cloud in enterprise environmentsProven ability to build management-ready dashboards for finance/controlling or other regulated industriesPractical experience with Cloudera Data Platform, Hadoop ecosystems, and Azure Databricks integrationsAdvanced SQL skills across Hive, Impala, Spark SQL, Databricks SQLSolid understanding of Delta Lake, parquet/ORC formats, and BI-oriented data modeling principlesExperience implementing row-level security and with enterprise BI solutionsStrong knowledge of performance optimization in Tableau, Hadoop and Databricks environmentsAbility to operate in regulated financial environments with security, compliance and data governance constraintsExcellent communication and documentation skills in English International clientRemote option Ihr Kontakt Ansprechpartner Eliška Stejskalová Referenznummer 864486/1 Kontakt aufnehmen E-Mail: eliska.stejskalova@hays.at Anstellungsart Freiberuflich für ein Projekt
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design, build and optimize enterprise Tableau dashboards Develop reporting-friendly data models on Cloudera Data Platform (Hadoop) and Azure Databricks (Delta Lake, SQL Warehouses) Implement and tune SQL queries (Hive, Impala, Spark SQL, Databricks SQL) for performance, cost efficiency and concurrency Apply Tableau performance optimization strategies (extract vs live, push-down optimization, query tuning) Design and implement secure enterprise Tableau configurations, including row-level security aligned with role concepts Ensure compliance with IT security, data governance and regulatory requirements Collaborate with data platform teams, DataOps, IT security/compliance and controlling solutions Produce professional documentation: data models, dashboard specifications, data-source definitions, security concepts, test cases Conduct testing for accuracy, performance, access control and stability of dashboards and data models Provide knowledge transfer, coaching and structured handover to internal teams Strong hands-on experience with Tableau Desktop and Tableau Server/Cloud in enterprise environments Proven ability to build management-ready dashboards for finance/controlling or other regulated industries Practical experience with Cloudera Data Platform, Hadoop ecosystems, and Azure Databricks integrations Advanced SQL skills across Hive, Impala, Spark SQL, Databricks SQL Solid understanding of Delta Lake, parquet/ORC formats, and BI-oriented data modeling principles Experience implementing row-level security and with enterprise BI solutions Strong knowledge of performance optimization in Tableau, Hadoop and Databricks environments Ability to operate in regulated financial environments with security, compliance and data governance constraints Excellent communication and documentation skills in English International client Remote option Ihr Kontakt Ansprechpartner Eliška Stejskalová Referenznummer 864486/1 Kontakt aufnehmen E-Mail: eliska.stejskalova@hays.at Anstellungsart Freiberuflich für ein Projekt
Azure Functions, Azure AI Services) zur Erweiterung unserer Low-Code-Lösungen sowie zur Anbindung an bestehende Systeme Aktive Mitarbeit bei der technischen Konzeption und dem Architektur-Design unserer Lösungen sowie bei der Weiterentwicklung von Standards und Best Practices für Low-Code-Entwicklungsprozesse Enge Zusammenarbeit mit internen Kunden um neue Anwendungsfälle zu finden und digitale Produkte zu verbessern Abgeschlossene Ausbildung oder Studium im Bereich Informatik, oder vergleichbare Qualifikation Fundierte Berufserfahrung in der Entwicklung von Low-Code-Lösungen - idealerweise mit der Microsoft Power Platform (Power Apps, Power Automate) und Azure-Cloud-Diensten Fundiertes Wissen in modernen Cloud-Technologien und Software-Architekturen sowie Praxis in der Integration von Cloud-Lösungen in komplexe Unternehmenslandschaften – vorzugsweise mit Microsoft Azure und Power Plattform Idealerweise Erfahrung in der Umsetzung von KI-Anwendungen oder Chatbots (z.B. mit Copilot Studio/Power Virtual Agents oder vergleichbaren KI-Tools) sowie aktuelle Microsoft-Zertifizierungen im Power-Platform-/Azure-Umfeld (z.B.
Conduct a comprehensive review of our existing Artifactory platform, develop optimization concepts, and implement enterprise-grade improvements including: Platform Assessment & Optimization: Analyze current setup, identify bottlenecks, and implement performance and security enhancements Cleanup Policies: Design and implement automated lifecycle management strategies for TB-scale artifact retention SCIM Integration: Architect and deploy enterprise-wide identity management and user provisioning Repository Restructuring: Plan and execute large-scale migration of repositories into optimized project structures Permission Management at Scale: Redesign and implement RBAC frameworks for complex, multi-tenant environments Continuous Improvement: Establish monitoring, governance, and alignment with industry best practices Production experience with JFrog Artifactory in complex enterprise environments Edge Nodes: Deep understanding of architecture, replication, and performance tuning Permission & User Management: Expert in complex RBAC structures and SCIM integration SCIM: Hands-on experience with SCIM-based user provisioning and identity management Project Organisation: Solid knowledge in enterprise-wide repository structuring and governance &Repository Migration: Hands-on experience with large-scale migration projects (Repos to Projects) Cleanup Policies: Expertise in lifecycle management and storage optimization for TB-scale artifacts API Mastery: Confident use of REST/GraphQL APIs for automation and integration Best Practices: Proven experience implementing Artifactory best practices Kubernetes HA: Expert in operating highly available Artifactory clusters on Kubernetes OpenTofu: Solid knowledge in Infrastructure-as-Code for complex deployments Helm: Advanced knowledge in chart development and customization / Production Operations: Experience with monitoring, incident response, and performance tuning Possibilities to work remote A very renowned company Ihr Kontakt Ansprechpartner Michelle Winkels Referenznummer 862594/1 Kontakt aufnehmen E-Mail: michelle.winkels@hays.de Anstellungsart Freiberuflich für ein Projekt
Aufgaben Als Platform Architekt im internationalen Team Platform Architecture & Operations sind Sie verantwortlich für das Design und die Weiterentwicklung der globalen Platform Architektur und Cloudinfrastruktur unseres Mandanten. Ihr Fokus liegt auf Plan & Build für lokale, hybride und Cloud-basierte Lösungen z.B. in Microsoft Azure.
Conduct a comprehensive review of our existing Artifactory platform, develop optimization concepts, and implement enterprise-grade improvements including:Platform Assessment & Optimization: Analyze current setup, identify bottlenecks, and implement performance and security enhancementsCleanup Policies: Design and implement automated lifecycle management strategies for TB-scale artifact retentionSCIM Integration: Architect and deploy enterprise-wide identity management and user provisioningRepository Restructuring: Plan and execute large-scale migration of repositories into optimized project structuresPermission Management at Scale: Redesign and implement RBAC frameworks for complex, multi-tenant environmentsContinuous Improvement: Establish monitoring, governance, and alignment with industry best practices Production experience with JFrog Artifactory in complex enterprise environmentsEdge Nodes: Deep understanding of architecture, replication, and performance tuningPermission & User Management: Expert in complex RBAC structures and SCIM integrationSCIM: Hands-on experience with SCIM-based user provisioning and identity managementProject Organisation: Solid knowledge in enterprise-wide repository structuring and governance &Repository Migration: Hands-on experience with large-scale migration projects (Repos to Projects)Cleanup Policies: Expertise in lifecycle management and storage optimization for TB-scale artifactsAPI Mastery: Confident use of REST/GraphQL APIs for automation and integrationBest Practices: Proven experience implementing Artifactory best practicesKubernetes HA: Expert in operating highly available Artifactory clusters on Kubernetes OpenTofu: Solid knowledge in Infrastructure-as-Code for complex deploymentsHelm: Advanced knowledge in chart development and customization / Production Operations: Experience with monitoring, incident response, and performance tuning Possibilities to work remoteA very renowned company Ihr Kontakt Ansprechpartner Michelle Winkels Referenznummer 862594/1 Kontakt aufnehmen E-Mail: michelle.winkels@hays.de Anstellungsart Freiberuflich für ein Projekt
Azure Functions, Azure AI Services) zur Erweiterung unserer Low-Code-Lösungen sowie zur Anbindung an bestehende SystemeAktive Mitarbeit bei der technischen Konzeption und dem Architektur-Design unserer Lösungen sowie bei der Weiterentwicklung von Standards und Best Practices für Low-Code-EntwicklungsprozesseEnge Zusammenarbeit mit internen Kunden um neue Anwendungsfälle zu finden und digitale Produkte zu verbessern Abgeschlossene Ausbildung oder Studium im Bereich Informatik, oder vergleichbare QualifikationFundierte Berufserfahrung in der Entwicklung von Low-Code-Lösungen - idealerweise mit der Microsoft Power Platform (Power Apps, Power Automate) und Azure-Cloud-DienstenFundiertes Wissen in modernen Cloud-Technologien und Software-Architekturen sowie Praxis in der Integration von Cloud-Lösungen in komplexe Unternehmenslandschaften – vorzugsweise mit Microsoft Azure und Power PlattformIdealerweise Erfahrung in der Umsetzung von KI-Anwendungen oder Chatbots (z.B. mit Copilot Studio/Power Virtual Agents oder vergleichbaren KI-Tools) sowie aktuelle Microsoft-Zertifizierungen im Power-Platform-/Azure-Umfeld (z.B.
Du konzipierst und verantwortest Data-Governance- und Operating-Modelle (z. B. Rollen, Verantwortlichkeiten, Domains, Prozesse). Du designst, implementierst und optimierst die Collibra Data Governance Plattform (Data Catalog, Asset-Modelle, Workflows, Communities, Verantwortlichkeiten).
Du konzipierst und verantwortest Data-Governance- und Operating-Modelle (z. B. Rollen, Verantwortlichkeiten, Domains, Prozesse). Du designst, implementierst und optimierst die Collibra Data Governance Plattform (Data Catalog, Asset-Modelle, Workflows, Communities, Verantwortlichkeiten).
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design and implement a SQL-based landing zone for regulatory data Develop stored procedures for transformation, enrichment, and aggregation Build and operate high-volume batch processing chains for monthly/quarterly cycles Implement SSIS-based ingestion flows and job orchestration Ensure data quality, technical lineage, and full traceability across layers Define and document integration patterns and mapping logic between landing-zone datasets and Tagetik-based reporting templates Perform operational monitoring, troubleshooting, and performance optimization Strong expertise in Microsoft SQL Server and T-SQL Hands-on experience with stored-procedure-driven ETL and complex data models Solid SSIS skills for orchestration and control of processing chains Experience with batch processing, logging, restartability, and performance tuning Knowledge of data lineage, reconciliation, and regulatory processing needs Experience with reporting platforms such as Tagetik is a plus Familiarity with Oracle source systems is advantageous Renowned Client Remote Option Ihr Kontakt Ansprechpartner Eliška Stejskalová Referenznummer 862801/1 Kontakt aufnehmen E-Mail: eliska.stejskalova@hays.at Anstellungsart Freiberuflich für ein Projekt
You are responsible for the conceptual, logical, and structural integrity of our Core Data Model as well as the Gold Layer across Azure, Snowflake, and dbt.You ensure that fragmented data sources are transformed into consistent, reusable, and decision‑relevant data products, actively preventing the platform from drifting into team‑specific, incompatible models.You define and maintain central business objects, canonical dimensions, shared metrics, and facts, ensuring that the Core Data Model serves as a stable, business‑oriented foundation across all domains.You develop modeling standards, naming conventions, layering concepts (Staging → Intermediate → Gold), reuse patterns, and dbt design guidelines, and you ensure their consistent implementation across all teams.You safeguard the semantic consistency of the entire data model, resolve domain conflicts, ensure that identical business terms are modeled only once, and review changes affecting core layers.You act as the technical design authority for model changes in Snowflake/dbt, balancing local requirements with long‑term model coherence, and ensuring that all models remain performant, scalable, maintainable, and of high quality.
. * Begleitung von Projektteams: Du begleitest unsere Projektteams über den gesamten Projektzyklus hinweg – von Analyse, UX-Design, Implementierung und Qualitätssicherung bis zur Abnahme durch den Kunden. Alternativ begleitest du die Anforderungserhebung, * Beratung und Konzeption von E-Commerce Lösungen wie Webshops, PIM, Customer Journey und Backend. * Coaching: Du führst unsere Projektteams zu selbst organisiertem Arbeiten, agilen Werten und Methoden.
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design and implement a SQL-based landing zone for regulatory dataDevelop stored procedures for transformation, enrichment, and aggregationBuild and operate high-volume batch processing chains for monthly/quarterly cyclesImplement SSIS-based ingestion flows and job orchestrationEnsure data quality, technical lineage, and full traceability across layersDefine and document integration patterns and mapping logic between landing-zone datasets and Tagetik-based reporting templatesPerform operational monitoring, troubleshooting, and performance optimization Strong expertise in Microsoft SQL Server and T-SQLHands-on experience with stored-procedure-driven ETL and complex data modelsSolid SSIS skills for orchestration and control of processing chainsExperience with batch processing, logging, restartability, and performance tuningKnowledge of data lineage, reconciliation, and regulatory processing needsExperience with reporting platforms such as Tagetik is a plusFamiliarity with Oracle source systems is advantageous Renowned ClientRemote Option Ihr Kontakt Ansprechpartner Eliška Stejskalová Referenznummer 862801/1 Kontakt aufnehmen E-Mail: eliska.stejskalova@hays.at Anstellungsart Freiberuflich für ein Projekt
What you can expect You take on the functional and disciplinary responsibility for all FTEs in the Sales Data Hub within the federated data setup, including Data Engineers, Data Scientists, Data Governance roles and Product Owners Data.You define, design, develop, and operate cloud‑based data products for the Sales, Marketing, and Customer Service business units.You are responsible for the methodological integration of data assets and data products.You manage the Sales Data Hub operationally and further develop it as a specialized unit for data‑driven solutions in Sales, Marketing, and Customer Service.You are responsible for the further development and ongoing maintenance of all sales‑related models based on feedback and requirements from the sales organization.You lead projects related to planning, expanding, and organizing new and existing products in collaboration with the relevant business units and external partners.You assume technical responsibility for data products developed by or for the Sales, Marketing, and Customer Service areas within the Data Intelligence & Analytics team.You drive the continuous expansion, professionalization, and organizational development of the Sales Data Hub within the existing governance and organizational framework.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
Aufgaben als Full-Stack-Developer (m/w) entwickeln Sie herausragenden Code und sind im Team sowohl für den Nutzen, als auch die Qualität verantwortlich als Test-Engineer (m/w) wenden Sie verschiedene Testmethoden sicher an und beraten Ihr Team als Platform-Engineer (m/w) bestimmen Sie Architektur und Design der bestehenden und zukünftigen Digital Experience Platform als CMS-Specialist / Web Developer (m/w) sind Sie als Consultant hauptverantwortlich für die Umsetzung anspruchsvoller Projekte im direkten Kundenkontakt als CMS-Architekt / Technischer Projektleiter (m/w) beraten Sie die Kunden unseres Mandanten im Hinblick auf den Einsatz der Produkte und angrenzender Themen / Dienstleistungen Dienstsitz: Dortmund, Münster oder München Einstellungsdatum: schnellst möglich Gehalt: nach Vereinbarung Anforderungen Die spezifischen Anforderungen variieren mit der jeweiligen Aufgabenstellung.
Integrationsszenarien sowie Datenbankdesign und -programmierung (SQL) von Vorteil Kenntnisse in Fulfillment-Prozessen (SAP SD) wünschenswert Erfahrungen in Design und Administration von Cloud-Services Innovationsfreude und Erfahrung mit agilen Entwicklungsmethoden Kommunikationsstärke und Teamgeist Ein hohes Maß an Service- / Kundenorientierung Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift Angebot Ein herausfordernder Arbeitsplatz in einem erfolgsorientierten Unternehmen.Sie profitieren von der Zusammenarbeit in interkulturellen und interdisziplinären Teams, arbeiten gemeinsam an innovativen Produkten, Dienstleistungen und nachhaltigen Lösungen, erhalten ein attraktives Vergütungspaket und die gängigen betrieblichen Sozialleistungen eines Großunternehmens sowie mit der betriebsinternen Academy zahlreiche maßgeschneiderte Weiterbildungsmöglichkeiten.
Aufgabenbeschreibung: Der Entwickler übernimmt innerhalb der Media Data Squad, im Produkt Media Data Platform, folgende Aufgaben: Aufbau und Betrieb von (Geo-)Datenbanken und zugehörigen APIs Entwicklung benutzerfreundlicher (räumlicher) Frontend-Anwendungen (2D/3D) in Zusammenarbeit mit UX/UI-Designern Umsetzung und Optimierung von Upload-, Such- und Visualisierungskomponenten für Mediendaten Entwicklung und Wartung einer Microservice-Architektur für die Verarbeitung großer Raster-, Vektor- und Punktwolkendaten (z.
Our Infrastructure Engineering team is looking for a new technical star. You will architect, design and introduce multi-cloud services, provided by IT Services to support Deutsche Post DHL digitalization strategy and bring it to the cloud era.
For a perfect match, you need: Very good command of Microsoft PurviewIn-depth knowledge of data protection concepts: classification, DLP, information protection, retention/records, encryption, access governanceVery good understanding of data flows in modern collaboration/cloud environments and typical leakage scenariosExperience with policy design, rollout strategies, exception processes, and effectiveness measurementKnowledge of relevant standards/frameworks and governance requirements (e.g., data protection, auditability, control evidence)Analytical skills for evaluating alerts/findings, trend analyses, KPI reportingIn your job: Own and develop data security policies and controls (classification, DLP, retention, encryption) Design and optimize DLP and information protection measures (email, endpoints, cloud, collaboration tools) Identify sensitive data and assess exposure risks Monitor and improve the effectiveness of data protection measures Define retention and lifecycle requirements in cooperation with Legal & Compliance Create guidelines, training materials, and incident runbooks Collaborate closely with IT, Privacy, Legal, Cloud, and business teams
Deliver backend development for a multi-agent evaluation platform within an agile setupProvide technical consulting to the project team and contribute to solution designBuild and maintain backend services aligned with defined functional requirementsDesign and implement APIs for seamless integration across internal applicationsCollaborate with cross-functional teams to clarify and solve technical integration needsApply modern data processing and analysis techniques to support platform evolutionImprove system performance through testing strategies, code reviews, and tooling enhancementsSupport UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related fieldStrong expertise in Python programmingSolid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domainsProficiency with CI/CD pipelines using GitLabExperience with GitOps workflows and Kubernetes-based service hostingAbility to implement or contribute to user interface componentsKnowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology projectHighly collaborative, cross-functional environment with modern engineering practicesExposure to advanced ML, multi-agent systems, and cutting-edge data technologiesFlexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
As part of our team, you will take on the following responsibilities: You work in an innovative and rapidly growing environment, using your strong communication skills to generate business value from data.You collaborate with your team and business partners in an agile setup to develop data‑driven products that address business challenges — including building data pipelines as well as work related to product, reporting, and analytics.You help design and maintain a scalable, cloud‑based data landscape that creates a new foundation for how DKV handles data.You prepare and present your results in a clear and engaging way for your business partners.You are open to new approaches and continuously refine your solutions to achieve better performance, quality, and cost efficiency.
What you will do Gather, analyze, and interpret data to fulfill reporting requests from business stakeholders Translate complex data into clear, actionable insights that support business strategy Support ad hoc analysis and contribute to data-driven decision-making Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows Maintain, design, and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions Communicate findings effectively to technical and non-technical audiences Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes Who you are You have at least 1-2 years of experience as a Data Analyst Proficiency in SQL for complex data analysis, reporting, and querying large datasets Experience with Google BigQuery Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports Excellent communication skills in English Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
Manage and refine business and technical requirements in collaboration with stakeholders Coordinate data integration activities with various source systems Design and model data structures within a Data Warehouse environment, with a strong focus on Data Vault methodology Develop and optimize data pipelines using SQL and Python Work with tools like Databricks and dbt to build scalable data transformation workflows Ensure data quality, consistency, and compliance, especially within banking-related use cases Experience in requirements management Experience in coordination with source systems Experience with data modeling in a Data Warehouse environment: Focus on Data Vault Good German and English language skills Databricks experience is nice to have Experience with dbt (data build tool) is an advantage Experience with SQL (as a query language) and Python is an advantage Banking experience is an advantage Renowned client Remote work Ihr Kontakt Ansprechpartner Florian Pracher Referenznummer 863466/1 Kontakt aufnehmen E-Mail: florian.pracher@hays.at Anstellungsart Freiberuflich für ein Projekt
What you can expect We are looking for an experienced Platform Architect to design and drive future-oriented platform architectures. In this role, you will take full ownership of technical solution design, working closely with Software and Enterprise Architects to ensure scalable, secure, and high-performing platform ecosystems aligned with the organization’s long-term strategy.
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design, build, and optimize batch data pipelines for internal tool use casesDevelop efficient Spark SQL transformations for large-scale datasetsUse Python for data processing, orchestration, and automationCreate and maintain data models (facts, dimensions, aggregates) with clear grain and metric definitionsEnsure data quality and correctness, including handling late data, duplicates, and adjustmentsImplement validation, data quality checks, and reconciliation logicWork with business stakeholders to gather requirements, define metrics, and translate needs into pipelinesCollaborate with infrastructure teams on standards, performance tuning, and best practices Bachelor oder Master degree in a technical field or an equivalent qualificationExperience in data engineering or a related fieldStrong proficiency in Spark SQL for large-scale data transformationsSolid Python skills for data processing and pipeline developmentStrong understanding of data modeling (fact tables, dimensions, grain, SCDs)Hands-on experience building and maintaining batch pipelines in productionHigh attention to detail with a strong focus on data quality and metric integrityAbility to communicate clearly with non-technical stakeholders and translate business needs into data solutions Remuneration in the most attractive collective agreement in the industry Annual leave entitlement of 30 days Generous working time account with the possibility to pay overtime Subsidization of direct insurance (as company pension scheme) Ihr Kontakt Ansprechpartner Kristina Meng Referenznummer 863942/1 Kontakt aufnehmen E-Mail: kristina.meng@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
You will develop new tools and procedures for further customization and automatization of existing products and processes and improve system availability with proactive work to avoid outages and performance issues with particular focus on maintenance services for all infrastructure used by the Operations Centre. WHAT YOU WILL DO Provide low-level design for platforms supported within area of responsibility in IT Services Develop, test, implement and maintain/drives standards for platform build and management, in cooperation with other Infrastructure and Operations teams, peers from other IT Services locations and related global structures Define and maintain operation procedures for the platform, contribute to capacity planning and HW setup standards Provide 3rd level support for the infrastructure mentioned above, work on problem resolution and implement selected changes (including patching, upgrades, etc.) in cooperation with production operations and other departments and vendors Actively cooperate and contribute on other product/platform related tasks WHAT YOU SHOULD HAVE: Deep knowledge of RHEL operating system (senior administration level).
What makes you stand out You hold a Bachelor’s or Master’s degree in Business Administration, Industrial Engineering, Analytics, or Statistics.Ideally, you have additional qualifications in Marketing Analytics or CRM.You bring 3–5 years of professional experience in Campaign/CRM Analytics and Sales Operations.You have hands-on experience in end-to-end campaign tracking, KPI development, and European process harmonization.You are proficient in Power BI (including DAX and Data Modeling) and Power Query (ETL).You are familiar with Dynamics 365 and HubSpot (workflows/tracking).You have experience with SQL (Snowflake) and SAP data integration.You ensure data quality and consistency across systems.You communicate clearly and effectively and Stakeholder management motivates you and drives you to create solutions collaboratively.You design processes, promote enablement, and share best practices.You have excellent German and English skills, both written and spoken. We are looking forward to your application and to applicants who enrich our diverse culture!
As Senior Data Engineer (m/w/d), you design and operate scalable data pipelines and architectures that support Nordex analytics, reporting and machine learning solutions. You work closely with data scientists and engineering teams to deliver robust, high‑quality datasets.
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design and implement integration solutions using MuleSoft Platform to connect the Learning Experience Platform (LXP) with HR systems and external learning providers Take end-to-end ownership of integration solutions — define specifications, guide designs, take architectural decisions, perform unit tests, and ensure successful go-live Ensure integration landscapes align with enterprise standards and the long term platform roadmap Collaborate with engineering and product teams to translate business needs into technical integration requirements Monitor and analyze integration performance, support troubleshooting, and continuous optimization Produce clear documentation of integration flows, decisions, and processes Embed security, privacy, and compliance considerations into all integration activities Experience as a Java Architect with profound Java knowledge Extensive knowledge of the Mulesoft integration platform.
Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you. Design and implement integration solutions using MuleSoft Platform to connect the Learning Experience Platform (LXP) with HR systems and external learning providers Take end-to-end ownership of integration solutions — define specifications, guide designs, take architectural decisions, perform unit tests, and ensure successful go-live Ensure integration landscapes align with enterprise standards and the long term platform roadmap Collaborate with engineering and product teams to translate business needs into technical integration requirements Monitor and analyze integration performance, support troubleshooting, and continuous optimization Produce clear documentation of integration flows, decisions, and processes Embed security, privacy, and compliance considerations into all integration activities Experience as a Java Architect with profound Java knowledge Extensive knowledge of the Mulesoft integration platform.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.