[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-industry-compensation-data-and-tools-gb":3,"job-search-\u002Fde-gb\u002Fjobs-by-industry\u002Fcompensation-data-and-tools":33,"industry-filters-\u002Fde-gb\u002Fjobs-by-industry\u002Fcompensation-data-and-tools":100,"featured-jobs-\u002Fde-gb\u002Fjobs-by-industry\u002Fcompensation-data-and-tools":194},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Findustry\u002Fcompensation-data-and-tools.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Branchenübersicht","Die Branche für [Vergütungsdaten und -tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) im [Vereinigtes Königreich](\u002Fsearch) konzentriert sich auf die Entwicklung und Bereitstellung von datengesteuerten Lösungen für Vergütungsmanagement, Belohnungsstrategien und Compliance. Dieser Sektor wächst rasant, da Unternehmen zunehmend auf präzise Daten angewiesen sind, um wettbewerbsfähige Gehälter zu setzen und regulatorische Anforderungen zu erfüllen. Im [Vereinigtes Königreich](\u002Fsearch) ist [London](\u002Fjobs-in-london) das führende Zentrum für diese Branche, mit einem hohen Bedarf an innovativen Tools, die [Datenanalyse und Business Intelligence](\u002Fjobs-by-industry\u002Fdata-analysis-and-business-intelligence) integrieren. Top-Unternehmen wie [Ravio](\u002Fcompany\u002Fravio) treiben die Innovation voran, indem sie SaaS-Plattformen entwickeln, die [Vergütungsexpertise](\u002Fjobs-by-expertise\u002Fcompensation-expertise) mit fortschrittlicher Technologie kombinieren. Die Branche profitiert von der starken [Finanz-](\u002Fjobs-by-industry\u002Ffinance) und [Technologie-Infrastruktur](\u002Fjobs-by-industry\u002Ffinance-and-technology) des Landes, was sie zu einem Schlüsselsektor für [Business Development](\u002Fjobs-by-expertise\u002Fbusiness-development) und strategische Partnerschaften macht.",{"title":10,"content":11},"Wichtige Rollen & Aufgaben","Im [Vereinigtes Königreich](\u002Fsearch) umfassen typische Rollen in der [Vergütungsdaten und -tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools)-Branche Positionen wie Business Development Manager, die für [Partnerschaftsstrategie](\u002Fjobs-by-expertise\u002Fpartnership-strategy) und [Vertragsverhandlungen](\u002Fjobs-by-expertise\u002Fcontract-negotiation) verantwortlich sind, um Allianzen mit Unternehmen zu schließen. Data Engineers entwickeln [Datenpipelines](\u002Fjobs-by-expertise\u002Fdata-pipeline-development) und sorgen für [Datenqualität und Governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance), während Softwareentwickler [SaaS-Plattformen](\u002Fjobs-by-expertise\u002Fsaas-platform-development) erstellen, die Tools für [Vergütungsmanagement](\u002Fjobs-by-expertise\u002Fcompensation-management) bereitstellen. Product Designer führen [Benutzerforschung](\u002Fjobs-by-expertise\u002Fuser-research) und [Usability-Tests](\u002Fjobs-by-expertise\u002Fusability-testing) durch, um benutzerfreundliche Lösungen zu gestalten. Sales-Spezialisten managen den [Verkaufslebenszyklus](\u002Fjobs-by-expertise\u002Fsales-lifecycle-management) und nutzen Kenntnisse in [B2B-SaaS-Verkauf](\u002Fjobs-by-expertise\u002Fb2b-saas-sales), um Kunden zu gewinnen. Compliance-Experten stellen die Einhaltung von [Datenprivatzgesetzen](\u002Fjobs-by-expertise\u002Fdata-privacy-laws) und [regulatorischen Rahmenbedingungen](\u002Fjobs-by-expertise\u002Fregulatory-frameworks) sicher, was entscheidend für die Branchenintegrität ist.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Im [Vereinigtes Königreich](\u002Fsearch) sind gefragte Expertisen in der [Vergütungsdaten und -tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools)-Branche [Business Development](\u002Fjobs-by-expertise\u002Fbusiness-development), [Partnerschaftsstrategie](\u002Fjobs-by-expertise\u002Fpartnership-strategy), [strategische Allianzen](\u002Fjobs-by-expertise\u002Fstrategic-alliances), und [Vergütungsexpertise](\u002Fjobs-by-expertise\u002Fcompensation-expertise), um innovative Lösungen zu entwickeln. Kenntnisse in [Datenprivatzgesetzen](\u002Fjobs-by-expertise\u002Fdata-privacy-laws), [Compliance-Standards](\u002Fjobs-by-expertise\u002Fcompliance-standards), und [regulatorischen Rahmenbedingungen](\u002Fjobs-by-expertise\u002Fregulatory-frameworks) sind essenziell, um rechtliche Anforderungen zu erfüllen. Top-Arbeitgeber wie [Ravio](\u002Fcompany\u002Fravio) suchen nach Talenten mit Fähigkeiten in [Datenengineering](\u002Fjobs-by-expertise\u002Fdata-engineering), [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure), und [Softwareentwicklung](\u002Fjobs-by-expertise\u002Fsoftware-development). Weitere relevante Expertisen umfassen [Produktdesign](\u002Fjobs-by-expertise\u002Fproduct-design), [Benutzerforschung](\u002Fjobs-by-expertise\u002Fuser-research), und [Verkaufslebenszyklus-Management](\u002Fjobs-by-expertise\u002Fsales-lifecycle-management). Unternehmen priorisieren Kandidaten mit Erfahrung in [B2B-SaaS-Verkauf](\u002Fjobs-by-expertise\u002Fb2b-saas-sales) und Kenntnissen der [Belohnungs- und Benefits-Branche](\u002Fjobs-by-expertise\u002Freward-&-benefits-industry-knowledge), um wettbewerbsfähige Angebote zu schaffen.",{"title":16,"content":17},"Karrierepfad & Gehalt","Der Karrierepfad in der [Vergütungsdaten und -tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools)-Branche im [Vereinigtes Königreich](\u002Fsearch) beginnt oft mit Einstiegspositionen wie Junior Data Analyst oder Software Developer, mit Gehältern ab £30.000–£40.000. Mit Erfahrung können Fachkräfte zu Senior Roles wie Senior Data Engineer oder Product Manager aufsteigen, die £50.000–£70.000 verdienen, basierend auf Expertisen wie [Datenpipelines-Entwicklung](\u002Fjobs-by-expertise\u002Fdata-pipeline-development) und [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure). Leadership-Positionen wie Director of Business Development oder CTO bieten Gehälter von £80.000–£120.000+, erfordern aber fortgeschrittene Skills in [strategischen Allianzen](\u002Fjobs-by-expertise\u002Fstrategic-alliances) und [technischer Führung](\u002Fjobs-by-expertise\u002Ftechnical-leadership). Gefragte IT-Skills wie [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), und [Terraform](\u002Fjobs-by-skill\u002Fterraform) steigern das Gehaltspotenzial. Die Branche belohnt kontinuierliche Weiterbildung in Bereichen wie [Compliance-Standards](\u002Fjobs-by-expertise\u002Fcompliance-standards) und [Datenqualität](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance), was zu höheren Verdienstmöglichkeiten führt.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Industry Overview","The [Compensation Data And Tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) industry in the [United Kingdom](\u002Fsearch) is a rapidly growing sector focused on providing data-driven solutions for employee rewards and benefits. This industry leverages advanced analytics and technology to help organizations make informed decisions about compensation, ensuring competitiveness and compliance. Key hubs for this industry include [London](\u002Fjobs-in-london), which serves as a major center for fintech and HR technology innovation. Companies in this space often collaborate with sectors like [Banking](\u002Fjobs-by-industry\u002Fbanking) and [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) to integrate compensation tools with broader financial systems. The industry is driven by the need for transparency and efficiency in reward management, supported by expertise in areas such as data privacy laws and regulatory frameworks. As businesses in the [UK](\u002Fsearch) prioritize employee satisfaction and retention, the demand for sophisticated compensation tools continues to rise, making it a vital part of the modern workplace ecosystem.",{"title":23,"content":24},"Key Roles & Responsibilities","In the [United Kingdom](\u002Fsearch), key roles in the [Compensation Data And Tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) industry include Business Development Managers, who drive growth by forming strategic alliances and partnerships. Data Engineers focus on developing robust data pipelines and ensuring data quality and governance, often using cloud infrastructure. Software Developers build and maintain SaaS platforms, incorporating user research and usability testing to enhance product design. Sales Professionals manage the full sales lifecycle, leveraging knowledge of the reward & benefits industry and B2B SaaS space. Additionally, roles in compliance and regulatory affairs ensure adherence to data privacy laws and corporate governance standards. These professionals work collaboratively to address compensation-related challenges, supported by skills in contract negotiation and market research. Team culture development is also crucial, fostering innovation and efficiency in dynamic environments like [London](\u002Fjobs-in-london).",{"title":26,"content":27},"In-Demand Skills & Employers","Top companies hiring in the [Compensation Data And Tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) industry in the [United Kingdom](\u002Fsearch) include [Ravio](\u002Fcompany\u002Fravio), a leader in compensation data solutions. In-demand expertise encompasses [Business Development](\u002Fjobs-by-expertise\u002Fbusiness-development), [Partnership Strategy](\u002Fjobs-by-expertise\u002Fpartnership-strategy), [Strategic Alliances](\u002Fjobs-by-expertise\u002Fstrategic-alliances), and deep knowledge of the compensation and rewards landscape. Professionals must be adept in [Data Privacy Laws](\u002Fjobs-by-expertise\u002Fdata-privacy-laws), [Compliance Standards](\u002Fjobs-by-expertise\u002Fcompliance-standards), and [Regulatory Frameworks](\u002Fjobs-by-expertise\u002Fregulatory-frameworks). Skills in [Product Design](\u002Fjobs-by-expertise\u002Fproduct-design), [User Research](\u002Fjobs-by-expertise\u002Fuser-research), and [Usability Testing](\u002Fjobs-by-expertise\u002Fusability-testing) are highly valued, along with [Data Engineering](\u002Fjobs-by-expertise\u002Fdata-engineering) and [Cloud Infrastructure](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) expertise. Knowledge of [B2B SaaS Sales](\u002Fjobs-by-expertise\u002Fb2b-saas-sales) and the reward survey vertical is essential for roles focused on sales and market expansion. These skills are critical for driving innovation and growth in competitive markets like [London](\u002Fjobs-in-london).",{"title":29,"content":30},"Career Path & Salary","Career progression in the [Compensation Data And Tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) industry in the [United Kingdom](\u002Fsearch) typically starts with entry-level roles such as Data Analyst or Junior Developer, advancing to senior positions like Lead Data Engineer or Product Manager. Salaries range from £40,000 for starters to over £100,000 for experienced professionals, with factors like location (e.g., higher in [London](\u002Fjobs-in-london)) and expertise influencing earnings. Key areas for advancement include [Compensation Expertise](\u002Fjobs-by-expertise\u002Fcompensation-expertise), [Total Rewards](\u002Fjobs-by-expertise\u002Ftotal-rewards) management, and technical leadership in [Software Development](\u002Fjobs-by-expertise\u002Fsoftware-development). In-demand IT skills such as [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), and cloud technologies support career growth, while knowledge of [Sales Lifecycle Management](\u002Fjobs-by-expertise\u002Fsales-lifecycle-management) and [Market Research](\u002Fjobs-by-expertise\u002Fmarket-research) enhances opportunities in business roles. Continuous learning in areas like [Data Quality and Governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance) is essential for long-term success in this evolving field.","industry:compensation-data-and-tools:gb",null,{"total":34,"jobs":35},1,[36],{"id":37,"slug":38,"title":39,"raw_title":32,"is_featured":40,"company":41,"raw_hiringOrganization_logo_url":44,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":61,"processed_job_expertise_skills":89,"processed_job_expertise_skills_labels":90,"max_cpc":34,"actual_cpc":34},43011,"lead-software-engineer-ravio-2","Lead Software Engineer",false,{"name":42,"slug":43,"logo_url":32},"Ravio","ravio","https:\u002F\u002Fapp.ashbyhq.com\u002Fapi\u002Fimages\u002Forg-theme-logo\u002F967f3421-4458-498b-b3fe-910182b0a3f8\u002F8e491013-1614-4a48-a8f5-75d1b32c3074\u002Ffd50ac96-be87-4067-bbb0-d4e517a29b2b.png",[46],"London",[48],"GB","hybrid",110000,150000,"GBP","original",[55],"FULL_TIME","permanent",{"gcp":58,"mcp":59,"jest":59,"auth0":59,"figma":60,"neo4j":60,"react":59,"slack":60,"linear":60,"bedrock":60,"bifrost":60,"datadog":59,"foundry":60,"graphql":58,"mantine":60,"node.js":58,"phoenix":60,"temporal":59,"chromatic":60,"storybook":60,"vertex ai":60,"playwright":59,"postgresql":58,"typescript":58,"graphql yoga":59,"apollo client":59,"github actions":59},4,3,2,[62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88],"TypeScript","Node.js","PostgreSQL","GraphQL","React","Playwright","Jest","Storybook","Chromatic","Mantine","GCP","Auth0","Temporal","MCP","Neo4j","GitHub Actions","Datadog","Figma","Slack","Linear","Apollo Client","GraphQL Yoga","Vertex AI","Bedrock","Foundry","Bifrost","Phoenix",{"llm evals":59,"observability":58,"agentic systems":59,"workflow engines":59,"prompt engineering":59,"distributed systems":58,"performance at scale":58,"platform engineering":58,"eval-driven development":59},[91,92,93,94,95,96,97,98,99],"Agentic Systems","Workflow Engines","LLM Evals","Prompt Engineering","Eval-Driven Development","Platform Engineering","Distributed Systems","Observability","Performance at Scale",{"industry":101,"employment_type":108,"expertise_skills":111,"it_skills":132,"salary_currency":190,"processed_working_hours":192},[102,105],{"key":103,"label":104,"count":34},"compensation","Compensation",{"key":106,"label":107,"count":34},"tools","Tools",[109],{"key":56,"label":110,"count":34},"PERMANENT",[112,114,117,119,122,124,126,128,130],{"key":113,"label":95,"slug":113,"count":34},"eval-driven-development",{"key":115,"label":116,"slug":115,"count":34},"performance-at-scale","Performance At Scale",{"key":118,"label":91,"slug":118,"count":34},"agentic-systems",{"key":120,"label":121,"slug":120,"count":34},"llm-evals","Llm Evals",{"key":123,"label":98,"slug":123,"count":34},"observability",{"key":125,"label":96,"slug":125,"count":34},"platform-engineering",{"key":127,"label":94,"slug":127,"count":34},"prompt-engineering",{"key":129,"label":92,"slug":129,"count":34},"workflow-engines",{"key":131,"label":97,"slug":131,"count":34},"distributed-systems",[133,135,137,139,141,144,146,149,151,153,155,158,161,163,166,168,170,173,175,177,179,182,184,187],{"key":134,"label":87,"slug":134,"count":34},"bifrost",{"key":136,"label":69,"slug":136,"count":34},"storybook",{"key":138,"label":74,"slug":138,"count":34},"temporal",{"key":140,"label":66,"slug":140,"count":34},"react",{"key":142,"label":143,"slug":142,"count":34},"mcp","Mcp",{"key":145,"label":85,"slug":145,"count":34},"bedrock",{"key":147,"label":148,"slug":147,"count":34},"github-actions","Github Actions",{"key":150,"label":81,"slug":150,"count":34},"linear",{"key":152,"label":68,"slug":152,"count":34},"jest",{"key":154,"label":67,"slug":154,"count":34},"playwright",{"key":156,"label":157,"slug":156,"count":34},"graphql-yoga","Graphql Yoga",{"key":159,"label":160,"slug":159,"count":34},"typescript","Typescript",{"key":162,"label":80,"slug":162,"count":34},"slack",{"key":164,"label":165,"slug":164,"count":34},"neo4j","Neo4J",{"key":167,"label":78,"slug":167,"count":34},"datadog",{"key":169,"label":73,"slug":169,"count":34},"auth0",{"key":171,"label":172,"slug":171,"count":34},"postgresql","Postgresql",{"key":174,"label":79,"slug":174,"count":34},"figma",{"key":176,"label":82,"slug":176,"count":34},"apollo-client",{"key":178,"label":70,"slug":178,"count":34},"chromatic",{"key":180,"label":181,"slug":180,"count":34},"nodejs","Node.Js",{"key":183,"label":88,"slug":183,"count":34},"phoenix",{"key":185,"label":186,"slug":185,"count":34},"gcp","Gcp",{"key":188,"label":189,"slug":188,"count":34},"vertex-ai","Vertex Ai",[191],{"key":52,"label":52,"count":34},[193],{"key":55,"label":55,"count":34},{"total":195,"jobs":196},0,[]]