[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-de\u002Fjobs-by-skill\u002Felasticsearch":3,"seo-content-skill-elasticsearch-de":117,"skill-page-filters-\u002Fde-de\u002Fjobs-by-skill\u002Felasticsearch":147,"featured-jobs-\u002Fde-de\u002Fjobs-by-skill\u002Felasticsearch":265},{"total":4,"jobs":5},3,[6,56,88],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":30,"processed_job_expertise_skills":43,"processed_job_expertise_skills_labels":44,"max_cpc":55,"actual_cpc":55},71782,"sas-workflow-chapter-lead-lead-engineer-uflow-universal-dmw-0010-deutsche-bank-aktiengesellschaft","SAS Workflow Chapter Lead - Lead Engineer uFlow Universal (d\u002Fm\u002Fw)",null,false,{"name":13,"slug":14,"logo_url":10},"0010 Deutsche Bank Aktiengesellschaft","0010-deutsche-bank-aktiengesellschaft",[16],"Berlin",[18],"DE","hybrid",70000,100000,"EUR","estimated",[25,26],"FULL_TIME","PART_TIME","permanent",{"java":29,"ci\u002Fcd":4,"kafka":29,"spring":29,"ai tools":4,"hibernate":29,"kubernetes":4,"spring boot":29,"bpmn engines":29,"elasticsearch":29,"automated testing":4,"cloud technologies":4},4,[31,32,33,34,35,36,37,38,39,40,41,42],"Java","Hibernate","Spring","Kafka","Elasticsearch","Spring Boot","Kubernetes","Cloud Technologies","BPMN Engines","CI\u002FCD","Automated Testing","AI Tools",{"code quality":4,"goal setting":29,"software design":29,"performance reviews":29,"employee development":29,"software engineering":29,"software architecture":29,"software implementation":29,"stakeholder communication":29,"application lifecycle management":4},[45,46,47,48,49,50,51,52,53,54],"Software Engineering","Software Architecture","Software Design","Software Implementation","Application Lifecycle Management","Code Quality","Employee Development","Performance Reviews","Goal Setting","Stakeholder Communication",1,{"id":57,"slug":58,"title":59,"raw_title":10,"is_featured":11,"company":60,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":63,"processed_country_iso_code_gmaps":65,"processed_home_office":19,"processed_salary_min":66,"processed_salary_max":67,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":68,"processed_employment_types":27,"processed_it_skills":69,"processed_it_skills_labels":71,"processed_job_expertise_skills":81,"processed_job_expertise_skills_labels":82,"max_cpc":55,"actual_cpc":55},39171,"platform-engineer-mwd-asset-metrix","Platform Engineer (m\u002Fw\u002Fd)",{"name":61,"slug":62,"logo_url":10},"Asset Metrix","asset-metrix",[64],"München",[18],65000,90000,[25],{"aws":4,"ci\u002Fcd":29,"linux":29,"python":29,"ansible":70,"grafana":4,"jenkins":4,"openshift":4,"terraform":70,"kubernetes":29,"gitlab ci\u002Fcd":4,"elasticsearch":4},2,[37,72,73,40,74,75,76,77,35,78,79,80],"OpenShift","Linux","GitLab CI\u002FCD","Jenkins","Python","Grafana","AWS","Ansible","Terraform",{"virtualization":70,"network concepts":4,"storage concepts":70,"platform engineering":29,"infrastructure automation":4},[83,84,85,86,87],"Platform Engineering","Infrastructure Automation","Network Concepts","Virtualization","Storage Concepts",{"id":89,"slug":90,"title":91,"raw_title":10,"is_featured":11,"company":92,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":96,"processed_country_iso_code_gmaps":98,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":99,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":100,"processed_employment_types":27,"processed_it_skills":101,"processed_it_skills_labels":102,"processed_job_expertise_skills":109,"processed_job_expertise_skills_labels":110,"max_cpc":55,"actual_cpc":116},38140,"senior-professional-devsecops-engineer-mwd-fuer-cloud-im-art-output-solutions-rv-versicherung","Senior Professional DevSecOps Engineer (m\u002Fw\u002Fd) für Cloud im ART Output Solutions",{"name":93,"slug":94,"logo_url":95},"R+V Versicherung","rv-versicherung","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fb6\u002FR%2BV-Logo.svg\u002F330px-R%2BV-Logo.svg.png",[97],"Hamburg",[18],95000,[25],{"java":29,"rest":29,"soap":4,"ci\u002Fcd":29,"kafka":4,"docker":29,"angular":4,"kubernetes":29,"postgresql":4,"azure cloud":29,"spring boot":29,"elasticsearch":4},[31,36,103,104,105,34,35,106,107,37,108,40],"REST","SOAP","Angular","PostgreSQL","Docker","Azure Cloud",{"compliance":4,"code review":4,"quality assurance":4,"security by design":4,"technical architecture":29},[111,112,113,114,115],"Technical architecture","Code review","Security by design","Quality assurance","Compliance",0.8,{"image_path":118,"content_de":119,"content_en":132,"composite_key":145,"last_updated":146},"\u002Fimages\u002Fskill\u002Felasticsearch.webp",{"tab1":120,"tab2":123,"tab3":126,"tab4":129},{"title":121,"content":122},"Bedeutung & Relevanz","Elasticsearch ist weit mehr als nur eine Suchmaschine – es ist das Herzstück moderner Datenanalyse und Echtzeit-Log-Analysen. In der Finanzbranche Deutschlands gewinnt diese Technologie zunehmend an Bedeutung, da Unternehmen riesige Datenmengen aus Transaktionen, Kundeninteraktionen und Marktdaten verarbeiten müssen. Mit Elasticsearch können Finanzinstitute nicht nur blitzschnell relevante Informationen finden, sondern auch Muster erkennen, Risiken minimieren und Compliance-Anforderungen erfüllen.\n\nDie Nachfrage nach Fachkräften mit Elasticsearch-Kenntnissen ist entsprechend hoch. Aktuell sind auf unserer Plattform 3 offene Positionen ausgeschrieben, die Elasticsearch als zentrale Anforderung nennen. Arbeitgeber suchen dabei nicht nur nach reinen Elasticsearch-Experten, sondern auch nach Kandidaten, die ergänzende Fähigkeiten wie [Ci\u002Fcd](\u002Fde-de\u002Fjobs-by-skill\u002Fcicd), [Kubernetes](\u002Fde-de\u002Fjobs-by-skill\u002Fkubernetes), [Java](\u002Fde-de\u002Fjobs-by-skill\u002Fjava) mitbringen. Diese Kombination aus Suchtechnologie und Datenkompetenz macht Fachkräfte besonders wertvoll.\n\nWer sich heute mit Elasticsearch auskennt, sichert sich einen entscheidenden Wettbewerbsvorteil auf dem Arbeitsmarkt. Die Technologie ist skalierbar, flexibel und wird in Zukunft noch stärker in Bereichen wie Betrugserkennung, Risikomanagement und personalisierten Kundenerlebnissen eingesetzt. Investieren Sie in Ihre Zukunft und werden Sie Teil dieser dynamischen Entwicklung.",{"title":124,"content":125},"Top-Branchen & Standorte","Elasticsearch ist in Deutschland besonders in Finanz- und Technologiebranchen gefragt. Unsere Auswertung zeigt, dass die meisten offenen Stellen in [Hamburg](\u002Fde-de\u002Fjobs-in-hamburg), [München](\u002Fde-de\u002Fjobs-in-muenchen), [Berlin](\u002Fde-de\u002Fjobs-in-berlin) zu finden sind – hier konzentrieren sich Banken, Fintechs und Versicherungen, die auf moderne Datenlösungen setzen. Auch in anderen Ballungszentren steigt die Nachfrage stetig.\n\nDie Branchen, die am häufigsten Elasticsearch-Experten suchen, sind [Finanzdienstleistungen](\u002Fde-de\u002Fjobs-by-industry\u002Ffinancial-services), [Versicherung](\u002Fde-de\u002Fjobs-by-industry\u002Finsurance). Insbesondere Banken und Finanzdienstleister nutzen Elasticsearch für Echtzeit-Analysen, Betrugserkennung und Kundenportale. Auch Versicherungen setzen die Technologie ein, um Schadensfälle schneller zu bearbeiten und Risiken besser zu bewerten. Fintech-Unternehmen wiederum schätzen die Flexibilität und Skalierbarkeit von Elasticsearch für ihre innovativen Produkte.\n\nWenn Sie eine Karriere mit Elasticsearch anstreben, sollten Sie diese Standorte und Branchen im Blick behalten. Die Kombination aus finanziellem Know-how und technischer Expertise ist besonders gefragt. Unsere Jobbörse bietet Ihnen eine Übersicht über aktuelle Stellenangebote in diesen Regionen und Sektoren – nutzen Sie die Gelegenheit, um Ihre nächste berufliche Herausforderung zu finden.",{"title":127,"content":128},"Gefragte Skills & Arbeitgeber","Elasticsearch-Experten sind in der Finanzbranche heiß begehrt. Unsere Daten zeigen, dass Arbeitgeber neben technischen Fähigkeiten vor allem Wert auf [Compliance](\u002Fde-de\u002Fjobs-by-expertise\u002Fcompliance), [Code Review](\u002Fde-de\u002Fjobs-by-expertise\u002Fcode-review), [Quality Assurance](\u002Fde-de\u002Fjobs-by-expertise\u002Fquality-assurance) legen. Diese Kombination aus Fachwissen und praktischer Erfahrung macht Kandidaten besonders attraktiv.\n\nZu den Top-Arbeitgebern, die derzeit Elasticsearch-Spezialisten suchen, gehören [R+V Versicherung](\u002Fde-de\u002Fcompany\u002Frv-versicherung), [Asset Metrix](\u002Fde-de\u002Fcompany\u002Fasset-metrix), [0010 Deutsche Bank Aktiengesellschaft](\u002Fde-de\u002Fcompany\u002F0010-deutsche-bank-aktiengesellschaft). Diese Unternehmen bieten spannende Projekte, moderne Arbeitsumgebungen und attraktive Entwicklungsmöglichkeiten. Ob in der Bank, im Versicherungskonzern oder im Fintech-Startup – überall werden Fachkräfte gesucht, die Elasticsearch effektiv einsetzen können.\n\nNeben den genannten Expertisen sind auch Kenntnisse in verwandten Technologien wie [Ci\u002Fcd](\u002Fde-de\u002Fjobs-by-skill\u002Fcicd), [Kubernetes](\u002Fde-de\u002Fjobs-by-skill\u002Fkubernetes), [Java](\u002Fde-de\u002Fjobs-by-skill\u002Fjava) von Vorteil. Wer sein Profil erweitert, erhöht seine Chancen auf dem Arbeitsmarkt erheblich. Unsere Jobbörse listet regelmäßig neue Stellenangebote dieser Top-Arbeitgeber – verpassen Sie nicht Ihre Chance und bewerben Sie sich noch heute.",{"title":130,"content":131},"Karrierepfad & Gehalt","Eine Karriere mit Elasticsearch in Deutschland bietet nicht nur spannende Aufgaben, sondern auch attraktive Verdienstmöglichkeiten. Laut unseren aktuellen Daten liegt das Mediangehalt für Elasticsearch-Experten bei €95k. Die Gehaltsspanne bewegt sich zwischen €92k – €98k, wobei das untere Quartil bei €65k und das obere Quartil bei €100k liegt. Diese Werte zeigen, dass Elasticsearch-Kenntnisse sich finanziell lohnen.\n\nDer Karrierepfad führt oft vom Data Engineer über den Search Specialist bis hin zum IT-Architekten oder Data Scientist. Mit zunehmender Erfahrung und Verantwortung steigen auch die Gehälter. Zudem eröffnen sich Möglichkeiten in verschiedenen Branchen – von [Finanzdienstleistungen](\u002Fde-de\u002Fjobs-by-industry\u002Ffinancial-services), [Versicherung](\u002Fde-de\u002Fjobs-by-industry\u002Finsurance) bis hin zu Beratungsunternehmen.\n\nAktuell sind 3 offene Positionen auf unserer Plattform gelistet, die Elasticsearch-Kompetenz erfordern. Nutzen Sie diese Nachfrage, um Ihre Karriere voranzutreiben. Ob Berufseinsteiger oder erfahrener Profi – mit Elasticsearch haben Sie hervorragende Perspektiven. Starten Sie jetzt Ihre Suche und finden Sie den Job, der zu Ihnen passt.",{"tab1":133,"tab2":136,"tab3":139,"tab4":142},{"title":134,"content":135},"Strategic Importance","Elasticsearch has become a cornerstone of modern data infrastructure, and its strategic importance in Deutschland's financial sector cannot be overstated. As financial institutions generate and rely on massive volumes of data, the ability to search, analyze, and visualize this data in real-time is a competitive advantage. Elasticsearch powers everything from log analytics and application monitoring to full-text search and business intelligence. In Deutschland, where data privacy and efficiency are paramount, professionals skilled in Elasticsearch are in high demand. The technology enables companies to derive actionable insights from their data, improve operational efficiency, and enhance customer experiences. Moreover, Elasticsearch's scalability and flexibility make it ideal for the evolving needs of the financial industry, from risk management to fraud detection. As a result, expertise in Elasticsearch is not just a technical skill but a strategic asset. Professionals who master it can drive innovation and contribute to the digital transformation of their organizations. The demand for such skills is reflected in the growing number of job postings, with 3 open positions currently. The median salary of €95k underscores the value placed on this expertise. Additionally, complementary skills such as [Ci\u002Fcd](\u002Fen-de\u002Fjobs-by-skill\u002Fcicd), [Kubernetes](\u002Fen-de\u002Fjobs-by-skill\u002Fkubernetes), [Java](\u002Fen-de\u002Fjobs-by-skill\u002Fjava) are often sought after, making Elasticsearch a key component of a well-rounded data professional's toolkit.",{"title":137,"content":138},"Top Industries & Locations","Elasticsearch skills are particularly sought after in Deutschland's financial hubs and across various industries. The technology is widely adopted in banking, financial services, insurance, and asset management, where real-time data processing and search capabilities are critical. Additionally, the rise of financial technology (fintech) has further fueled the demand for Elasticsearch experts, as startups and established firms alike leverage it for analytics and customer-facing applications. Geographically, the demand is concentrated in major financial centers such as [Hamburg](\u002Fen-de\u002Fjobs-in-hamburg), [München](\u002Fen-de\u002Fjobs-in-muenchen), [Berlin](\u002Fen-de\u002Fjobs-in-berlin). These cities host a concentration of banks, insurance companies, and tech firms, all of which require robust data infrastructure. The presence of these industries in these locations creates a vibrant job market for Elasticsearch professionals. Furthermore, the technology is also used in other sectors like e-commerce, healthcare, and logistics, but the financial industry remains the primary driver in Deutschland. With 3 open positions across the country, candidates with Elasticsearch expertise can find opportunities in diverse settings, from traditional banks to innovative startups. The top industries hiring for Elasticsearch roles include [Financial Services](\u002Fen-de\u002Fjobs-by-industry\u002Ffinancial-services), [Insurance](\u002Fen-de\u002Fjobs-by-industry\u002Finsurance), reflecting the technology's versatility and importance. For professionals seeking to advance their careers, focusing on these industries and locations can provide a strategic advantage.",{"title":140,"content":141},"In-Demand Skills & Employers","To excel in Elasticsearch roles in Deutschland, professionals need a combination of technical and domain expertise. Beyond the core Elasticsearch skills, employers often look for proficiency in related areas such as [Compliance](\u002Fen-de\u002Fjobs-by-expertise\u002Fcompliance), [Code Review](\u002Fen-de\u002Fjobs-by-expertise\u002Fcode-review), [Quality Assurance](\u002Fen-de\u002Fjobs-by-expertise\u002Fquality-assurance). These complementary skills enable professionals to apply Elasticsearch effectively in business contexts, such as risk management, compliance, and data analysis. Additionally, familiarity with programming languages and data visualization tools, such as [Ci\u002Fcd](\u002Fen-de\u002Fjobs-by-skill\u002Fcicd), [Kubernetes](\u002Fen-de\u002Fjobs-by-skill\u002Fkubernetes), [Java](\u002Fen-de\u002Fjobs-by-skill\u002Fjava), is highly valued. The ideal candidate is not only adept at deploying and managing Elasticsearch clusters but also capable of translating data insights into strategic decisions. In terms of employers, the market is diverse, with opportunities at both large corporations and innovative startups. Leading employers in Deutschland include [R+V Versicherung](\u002Fen-de\u002Fcompany\u002Frv-versicherung), [Asset Metrix](\u002Fen-de\u002Fcompany\u002Fasset-metrix), [0010 Deutsche Bank Aktiengesellschaft](\u002Fen-de\u002Fcompany\u002F0010-deutsche-bank-aktiengesellschaft), which are known for their investment in data-driven technologies. These companies offer competitive salaries and career growth prospects, making them attractive to top talent. With 3 open positions, there is a healthy demand for Elasticsearch professionals. Candidates who continuously update their skills and stay abreast of the latest developments in Elasticsearch will find themselves in a strong position. Networking within the industry and obtaining relevant certifications can further enhance employability.",{"title":143,"content":144},"Career Path & Salary","A career in Elasticsearch offers promising growth prospects and competitive compensation in Deutschland. Entry-level positions typically start at €65k, while experienced professionals can earn up to €100k. The median salary for Elasticsearch roles is €95k, with a typical range of €92k – €98k. These figures reflect the high demand for specialized skills in the data and technology sectors. Career paths can progress from data analyst or engineer to senior architect or data science lead, with opportunities to move into management roles. The financial industry, in particular, offers lucrative opportunities, given its reliance on data-driven decision-making. With 3 open positions, there is a robust job market for Elasticsearch professionals. To maximize earning potential, professionals should focus on continuous learning, gaining experience with large-scale deployments, and developing expertise in related areas such as machine learning and cloud computing. Additionally, obtaining certifications in Elasticsearch can boost credibility and lead to higher salaries. As the importance of data continues to grow, the demand for Elasticsearch skills is expected to remain strong, making it a wise career investment for those in the financial technology space.","skill:elasticsearch:de","2026-08-26T20:52:39.168923+02:00",{"industry":148,"employment_type":155,"expertise_skills":158,"it_skills":203,"salary_currency":260,"processed_working_hours":262},[149,152],{"key":150,"label":151,"count":70},"financial services","Financial Services",{"key":153,"label":154,"count":55},"insurance","Insurance",[156],{"key":27,"label":157,"count":4},"PERMANENT",[159,161,163,166,168,170,172,174,176,178,181,183,185,187,189,191,193,195,197,200],{"key":160,"label":87,"slug":160,"count":55},"storage-concepts",{"key":162,"label":45,"slug":162,"count":55},"software-engineering",{"key":164,"label":165,"slug":164,"count":55},"technical-architecture","Technical Architecture",{"key":167,"label":84,"slug":167,"count":55},"infrastructure-automation",{"key":169,"label":52,"slug":169,"count":55},"performance-reviews",{"key":171,"label":47,"slug":171,"count":55},"software-design",{"key":173,"label":85,"slug":173,"count":55},"network-concepts",{"key":175,"label":115,"slug":175,"count":55},"compliance",{"key":177,"label":54,"slug":177,"count":55},"stakeholder-communication",{"key":179,"label":180,"slug":179,"count":55},"quality-assurance","Quality Assurance",{"key":182,"label":83,"slug":182,"count":55},"platform-engineering",{"key":184,"label":50,"slug":184,"count":55},"code-quality",{"key":186,"label":51,"slug":186,"count":55},"employee-development",{"key":188,"label":46,"slug":188,"count":55},"software-architecture",{"key":190,"label":49,"slug":190,"count":55},"application-lifecycle-management",{"key":192,"label":86,"slug":192,"count":55},"virtualization",{"key":194,"label":53,"slug":194,"count":55},"goal-setting",{"key":196,"label":48,"slug":196,"count":55},"software-implementation",{"key":198,"label":199,"slug":198,"count":55},"security-by-design","Security By Design",{"key":201,"label":202,"slug":201,"count":55},"code-review","Code Review",[204,207,209,211,213,215,217,219,222,224,226,228,231,234,236,239,242,245,247,249,251,254,256,258],{"key":205,"label":206,"slug":205,"count":4},"cicd","Ci\u002FCd",{"key":208,"label":37,"slug":208,"count":4},"kubernetes",{"key":210,"label":35,"slug":210,"count":4},"elasticsearch",{"key":212,"label":36,"slug":212,"count":70},"spring-boot",{"key":214,"label":34,"slug":214,"count":70},"kafka",{"key":216,"label":31,"slug":216,"count":70},"java",{"key":218,"label":77,"slug":218,"count":55},"grafana",{"key":220,"label":221,"slug":220,"count":55},"rest","Rest",{"key":223,"label":79,"slug":223,"count":55},"ansible",{"key":225,"label":38,"slug":225,"count":55},"cloud-technologies",{"key":227,"label":41,"slug":227,"count":55},"automated-testing",{"key":229,"label":230,"slug":229,"count":55},"aws","Aws",{"key":232,"label":233,"slug":232,"count":55},"bpmn-engines","Bpmn Engines",{"key":235,"label":32,"slug":235,"count":55},"hibernate",{"key":237,"label":238,"slug":237,"count":55},"ms-azure","MS Azure",{"key":240,"label":241,"slug":240,"count":55},"postgresql","Postgresql",{"key":243,"label":244,"slug":243,"count":55},"soap","Soap",{"key":246,"label":33,"slug":246,"count":55},"spring",{"key":248,"label":105,"slug":248,"count":55},"angular",{"key":250,"label":73,"slug":250,"count":55},"linux",{"key":252,"label":253,"slug":252,"count":55},"ai-tools","Ai Tools",{"key":255,"label":75,"slug":255,"count":55},"jenkins",{"key":257,"label":80,"slug":257,"count":55},"terraform",{"key":259,"label":76,"slug":259,"count":55},"python",[261],{"key":22,"label":22,"count":4},[263,264],{"key":25,"label":25,"count":4},{"key":26,"label":26,"count":55},{"total":266,"jobs":267},0,[]]