[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-dbt-gb":3,"job-search-\u002Fen-gb\u002Fjobs-by-skill\u002Fdbt":33,"skill-page-filters-\u002Fen-gb\u002Fjobs-by-skill\u002Fdbt":257,"featured-jobs-\u002Fen-gb\u002Fjobs-by-skill\u002Fdbt":397},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fdbt.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Dbt (Data Build Tool) ist ein entscheidendes Werkzeug für die moderne Datenverarbeitung im [Vereinigtes Königreich](\u002Fsearch), insbesondere in Finanzzentren wie [London](\u002Fjobs-in-london). Es ermöglicht die Automatisierung und Standardisierung von [ETL](\u002Fjobs-by-expertise\u002Fetl-best-practices)-Prozessen, was die Effizienz in datenintensiven Branchen wie [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fwealth-management) und [Kompensationsdaten und -tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) erheblich steigert. Durch die Integration mit Cloud-Plattformen wie [GCP](\u002Fjobs-by-skill\u002Fgcp) und Tools wie [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake) unterstützt dbt die Skalierbarkeit und Zuverlässigkeit von Datenpipelines, was für datengesteuerte Entscheidungen in Unternehmen wie [Ravio](\u002Fcompany\u002Fravio) und [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp) unverzichtbar ist. Seine Rolle in der [Datenqualität und Governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance) macht es zu einem Schlüsselelement für Compliance und Innovation im britischen Finanzsektor.",{"title":10,"content":11},"Top-Branchen & Standorte","In [London](\u002Fjobs-in-london), dem führenden Finanzhub im [Vereinigtes Königreich](\u002Fsearch), ist dbt besonders in Branchen wie [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fwealth-management) und [Kompensationsdaten und -tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) gefragt. Diese Branchen nutzen dbt, um komplexe Datenanalysen für Investmententscheidungen und Vergütungsstrategien zu optimieren. Weitere relevante Standorte könnten Finanzzentren wie [Leeds](\u002Fjobs-in-leeds) oder [Birmingham](\u002Fjobs-in-birmingham) umfassen, wo datengetriebene Unternehmen wachsen. Die Nachfrage wird durch den Bedarf an effizienter [Datenpipeline-Entwicklung](\u002Fjobs-by-expertise\u002Fdata-pipeline-development) und [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) in diesen urbanen Gebieten getrieben, was dbt zu einem wertvollen Skill für lokale und internationale Märkte macht.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Top-Unternehmen wie [Ravio](\u002Fcompany\u002Fravio) und [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp) im [Vereinigtes Königreich](\u002Fsearch) suchen nach Experten mit dbt-Kenntnissen, kombiniert mit [Datenengineering](\u002Fjobs-by-expertise\u002Fdata-engineering), [Datenmodellierung](\u002Fjobs-by-expertise\u002Fdata-modelling) und [agiler Methodik](\u002Fjobs-by-expertise\u002Fagile-methodology). Diese Expertise ist essenziell für die Entwicklung robuster Datenlösungen in [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fwealth-management) und datenbasierter Tools. Zusätzlich sind Fähigkeiten in [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management) und [Datenqualität und Governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance) hochrelevant, um dbt effektiv in unternehmenskritischen Anwendungen einzusetzen und die Wettbewerbsfähigkeit in dynamischen Märkten zu stärken.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege mit dbt im [Vereinigtes Königreich](\u002Fsearch) führen oft zu Rollen wie Data Engineer oder Analytics Specialist, insbesondere in [London](\u002Fjobs-in-london). Um dbt zu erlernen, empfiehlt sich die Kombination von Online-Kursen mit praktischer Erfahrung in [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql) und Tools wie [Terraform](\u002Fjobs-by-skill\u002Fterraform) oder [Apache Airflow](\u002Fjobs-by-skill\u002Fapache-airflow). Die Integration mit [agiler Methodik](\u002Fjobs-by-expertise\u002Fagile-methodology) und [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) fördert die berufliche Entwicklung, während Zertifizierungen und Community-Engagement in Plattformen wie GitHub die Skills vertiefen. Dies ebnet den Weg für Führungspositionen in datengetriebenen Unternehmen.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","dbt (data build tool) is critically important in the [Vereinigtes Königreich](\u002Fsearch) for transforming raw data into analytics-ready datasets, enabling companies to make data-driven decisions efficiently. In the competitive financial sector, dbt streamlines [data engineering](\u002Fjobs-by-expertise\u002Fdata-engineering) workflows, reduces time-to-insight, and enhances data reliability, which is essential for compliance and strategic planning. With the rise of [compensation data and tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) and [wealth management](\u002Fjobs-by-industry\u002Fwealth-management), dbt helps organizations in [London](\u002Fjobs-in-london) and beyond manage complex data pipelines, ensuring accurate reporting and personalized client services. Its adoption supports agile methodologies and cloud infrastructure, making it a cornerstone for modern data operations in the UK's dynamic market.",{"title":23,"content":24},"Top Industries & Locations","In the [Vereinigtes Königreich](\u002Fsearch), dbt is in high demand across key industries such as [compensation data and tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) and [wealth management](\u002Fjobs-by-industry\u002Fwealth-management), where data accuracy and transformation are paramount. Top locations like [London](\u002Fjobs-in-london) serve as hubs for these sectors, hosting numerous firms that leverage dbt for efficient data processing. Additionally, industries like [finance](\u002Fjobs-by-industry\u002Ffinance) and [financial services](\u002Fjobs-by-industry\u002Ffinancial-services) in cities across the UK rely on dbt to enhance their analytics capabilities, driving innovation and competitive advantage in data-intensive environments.",{"title":26,"content":27},"In-Demand Skills & Employers","Employers in the [Vereinigtes Königreich](\u002Fsearch), including top companies like [Ravio](\u002Fcompany\u002Fravio) and [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp), seek professionals with dbt expertise alongside skills in [data engineering](\u002Fjobs-by-expertise\u002Fdata-engineering), [data pipeline development](\u002Fjobs-by-expertise\u002Fdata-pipeline-development), and [cloud infrastructure](\u002Fjobs-by-expertise\u002Fcloud-infrastructure). These roles often require knowledge in [data quality and governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance) and [data warehouse design](\u002Fjobs-by-expertise\u002Fdata-warehouse-design), as dbt integrates seamlessly with tools like [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake) and [Apache Airflow](\u002Fjobs-by-skill\u002Fapache-airflow). The demand is strong in [London](\u002Fjobs-in-london), where firms prioritize agile methodologies and robust data modeling to support their operations in compensation and wealth management sectors.",{"title":29,"content":30},"Career & Development","A career in dbt within the [Vereinigtes Königreich](\u002Fsearch) often starts with roles in [data engineering](\u002Fjobs-by-expertise\u002Fdata-engineering) or analytics, progressing to senior positions focused on [data pipeline development](\u002Fjobs-by-expertise\u002Fdata-pipeline-development) and [data modelling](\u002Fjobs-by-expertise\u002Fdata-modelling). To learn dbt, professionals should master related IT skills like [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), and [GCP](\u002Fjobs-by-skill\u002Fgcp), and gain experience with tools such as [Terraform](\u002Fjobs-by-skill\u002Fterraform) and [GitHub Actions](\u002Fjobs-by-skill\u002Fgithub-actions). Pursuing certifications in [agile methodology](\u002Fjobs-by-expertise\u002Fagile-methodology) and [project management](\u002Fjobs-by-expertise\u002Fproject-management) can enhance prospects, with opportunities abundant in [London](\u002Fjobs-in-london) for those skilled in ETL best practices and cloud-based data solutions.","skill:dbt:gb","2026-08-17T09:02:58.352676+02:00",{"total":34,"jobs":35},7,[36,84,113,140,171,202,234],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":46,"processed_country_iso_code_gmaps":48,"processed_home_office":50,"processed_salary_min":51,"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":60,"processed_job_expertise_skills":71,"processed_job_expertise_skills_labels":73,"max_cpc":83,"actual_cpc":83},81901,"senior-data-engineer-devopsmlops-allianz-insurance","Senior Data Engineer (DevOps\u002FMLOps)",null,false,{"name":43,"slug":44,"logo_url":45},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[47],"London",[49],"GB","hybrid",60000,"GBP","estimated",[55],"FULL_TIME","permanent",{"dbt":58,"sql":59,"azure":59,"docker":59,"github":58,"python":59,"terraform":58,"databricks":58,"kubernetes":59,"azure devops":58},3,4,[61,62,63,64,65,66,67,68,69,70],"Python","SQL","Azure","Kubernetes","Docker","Terraform","Databricks","dbt","Azure DevOps","GitHub",{"ci\u002Fcd":59,"mlops":59,"devops":59,"responsible ai":72,"cloud computing":59,"data governance":58,"data protection":58,"containerization":59,"software development life cycle":59},2,[74,75,76,77,78,79,80,81,82],"MLOps","DevOps","CI\u002FCD","Containerization","Cloud Computing","Software Development Life Cycle","Data Governance","Data Protection","Responsible AI",1,{"id":85,"slug":86,"title":87,"raw_title":40,"is_featured":41,"company":88,"raw_hiringOrganization_logo_url":91,"processed_city_gmaps":92,"processed_country_iso_code_gmaps":96,"processed_home_office":50,"processed_salary_min":97,"processed_salary_max":98,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":99,"processed_employment_types":56,"processed_it_skills":100,"processed_it_skills_labels":101,"processed_job_expertise_skills":105,"processed_job_expertise_skills_labels":106,"max_cpc":83,"actual_cpc":83},80557,"analytics-engineering-team-lead-fraud-aml-starling","Analytics Engineering - Team Lead (Fraud & AML)",{"name":89,"slug":90,"logo_url":40},"Starling","starling","https:\u002F\u002Fworkablehr.s3.amazonaws.com\u002Fuploads\u002Faccount\u002Flogo\u002F71732\u002Flogo",[47,93,94,95],"Cardiff","Bury","Southampton",[49],80000,120000,[55],{"dbt":59,"git":58,"sql":59,"ci\u002Fcd":58,"looker":59,"cloud data warehouses":58},[62,68,102,103,76,104],"Looker","Git","Cloud Data Warehouses",{"fraud and aml":58,"data modelling":59,"data governance":58,"risk management":58,"data science support":58,"analytics engineering":59,"ml model development and monitoring":58},[107,108,109,80,110,111,112],"Data Modelling","Analytics Engineering","Fraud and AML","Risk Management","Data Science Support","ML Model Development and Monitoring",{"id":114,"slug":115,"title":116,"raw_title":40,"is_featured":41,"company":117,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":118,"processed_country_iso_code_gmaps":119,"processed_home_office":50,"processed_salary_min":120,"processed_salary_max":121,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":122,"processed_employment_types":56,"processed_it_skills":123,"processed_it_skills_labels":124,"processed_job_expertise_skills":130,"processed_job_expertise_skills_labels":131,"max_cpc":83,"actual_cpc":83},81608,"senior-ml-ops-engineer-allianz-insurance","Senior ML Ops Engineer",{"name":43,"slug":44,"logo_url":45},[47],[49],55000,65000,[55],{"dbt":58,"sql":59,"llms":72,"azure":59,"docker":59,"python":59,"pyspark":72,"sqlmesh":72,"terraform":59,"kubernetes":59,"azure devops":59,"github actions":59,"microsoft fabric":72},[61,62,65,64,66,63,69,125,68,126,127,128,129],"GitHub Actions","PySpark","Microsoft Fabric","SQLMesh","LLMs",{"ci\u002Fcd":59,"mlops":59,"dataops":59,"monitoring":59,"api management":59,"data governance":72,"containerization":59,"disaster recovery":72,"cloud infrastructure":59,"production deployment":59,"service orchestration":59,"infrastructure as code":59},[74,132,76,133,134,135,136,77,137,138,80,139],"Cloud Infrastructure","DataOps","Production Deployment","Monitoring","Infrastructure as Code","Service Orchestration","API Management","Disaster Recovery",{"id":141,"slug":142,"title":143,"raw_title":40,"is_featured":41,"company":144,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":147,"processed_country_iso_code_gmaps":148,"processed_home_office":149,"processed_salary_min":98,"processed_salary_max":150,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":151,"processed_employment_types":56,"processed_it_skills":152,"processed_it_skills_labels":153,"processed_job_expertise_skills":158,"processed_job_expertise_skills_labels":159,"max_cpc":83,"actual_cpc":83},59823,"lead-data-engineer-lch-ltd","Lead Data Engineer",{"name":145,"slug":146,"logo_url":40},"LCH Ltd","lch-ltd",[47],[49],"onsite",180000,[55],{"dbt":59,"sql":59,"pl\u002Fsql":59,"python":59,"datadog":58,"snowflake":59,"informatica powercenter":58},[154,68,62,155,61,156,157],"Snowflake","PL\u002FSQL","Informatica PowerCenter","DataDog",{"data lineage":59,"observability":58,"cyber security":58,"data migration":59,"data governance":59,"risk management":58,"agile frameworks":58,"data engineering":59,"elt architecture":59,"data architecture":59,"cloud data platforms":59,"regulatory reporting":59,"data warehouse modelling":59},[160,161,80,162,163,164,165,166,167,110,168,169,170],"Data Engineering","Data Architecture","Data Lineage","Cloud Data Platforms","ELT Architecture","Data Warehouse Modelling","Data Migration","Regulatory Reporting","Agile Frameworks","Cyber Security","Observability",{"id":172,"slug":173,"title":174,"raw_title":40,"is_featured":41,"company":175,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":178,"processed_country_iso_code_gmaps":179,"processed_home_office":149,"processed_salary_min":180,"processed_salary_max":181,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":182,"processed_employment_types":56,"processed_it_skills":183,"processed_it_skills_labels":184,"processed_job_expertise_skills":192,"processed_job_expertise_skills_labels":193,"max_cpc":83,"actual_cpc":83},49201,"assistant-vice-president-data-virtualisation-lead-mufg-united-kingdom-btmu","Assistant Vice President, Data Virtualisation Lead",{"name":176,"slug":177,"logo_url":40},"MUFG - United Kingdom (BTMU)","mufg-united-kingdom-btmu",[47],[49],100000,150000,[55],{"aws":59,"dbt":58,"gcp":58,"sql":59,"azure":58,"spark":58,"trino":59,"presto":58,"python":58,"power bi":58,"starburst":59,"kubernetes":59},[185,186,187,62,64,188,63,189,61,190,191,68],"Starburst","Trino","Presto","AWS","GCP","Spark","Power BI",{"agentic ai":58,"data lakes":59,"data security":59,"ai fundamentals":58,"data governance":59,"data engineering":59,"cloud engineering":59,"architecture design":59,"distributed systems":59,"large language models":58},[160,194,195,80,196,197,198,199,200,201],"Distributed Systems","Data Lakes","Data Security","Cloud Engineering","Architecture Design","AI Fundamentals","Large Language Models","Agentic AI",{"id":203,"slug":204,"title":205,"raw_title":40,"is_featured":41,"company":206,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":209,"processed_country_iso_code_gmaps":210,"processed_home_office":50,"processed_salary_min":97,"processed_salary_max":98,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":211,"processed_employment_types":56,"processed_it_skills":212,"processed_it_skills_labels":213,"processed_job_expertise_skills":217,"processed_job_expertise_skills_labels":218,"max_cpc":83,"actual_cpc":83},79020,"data-design-lead-snowflake-hcc-service-co-uk-branch","Data Design Lead (Snowflake)",{"name":207,"slug":208,"logo_url":40},"HCC Service Co. UK Branch","hcc-service-co-uk-branch",[47],[49],[55],{"dbt":59,"sql":59,"pega":72,"fivetran":58,"snowflake":59},[154,62,214,215,216],"DBT","Fivetran","Pega",{"cdc patterns":59,"data lineage":59,"data modeling":59,"access control":59,"cost management":59,"data governance":59,"gdpr compliance":58,"data engineering":59,"data architecture":59,"performance tuning":59,"data quality controls":59,"production operations":59,"semantic layer design":59,"medallion architecture":59,"regulated environments":58,"enterprise data platforms":59,"architecture documentation":59,"data solution architecture":59,"insurance domain knowledge":58},[161,219,160,220,80,221,222,223,224,225,226,227,228,162,229,230,231,232,233],"Data Solution Architecture","Data Modeling","GDPR Compliance","CDC Patterns","Medallion Architecture","Performance Tuning","Cost Management","Access Control","Production Operations","Architecture Documentation","Data Quality Controls","Semantic Layer Design","Enterprise Data Platforms","Regulated Environments","Insurance Domain Knowledge",{"id":235,"slug":236,"title":237,"raw_title":40,"is_featured":41,"company":238,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":239,"processed_country_iso_code_gmaps":240,"processed_home_office":50,"processed_salary_min":180,"processed_salary_max":181,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":241,"processed_employment_types":56,"processed_it_skills":242,"processed_it_skills_labels":243,"processed_job_expertise_skills":246,"processed_job_expertise_skills_labels":247,"max_cpc":83,"actual_cpc":83},59836,"lead-software-amp-platform-engineering-lch-ltd","Lead, Software & Platform Engineering",{"name":145,"slug":146,"logo_url":40},[47],[49],[55],{"aws":59,"dbt":59,"sql":59,"azure":58,"ci\u002Fcd":59,"python":59,"snowflake":59,"api interfaces":58,"ai development tools":58},[61,62,154,188,63,68,76,244,245],"AI development tools","API 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Infrastructure",{"key":275,"label":276,"count":83},"data","Data",[278],{"key":56,"label":279,"count":34},"PERMANENT",[281,283,285,287,289,291,293,296,299,301,303,305,307,309,311,313,315,317,320,322,325,327,329,332],{"key":282,"label":80,"slug":282,"count":34},"data-governance",{"key":284,"label":160,"slug":284,"count":59},"data-engineering",{"key":286,"label":161,"slug":286,"count":72},"data-architecture",{"key":288,"label":162,"slug":288,"count":72},"data-lineage",{"key":290,"label":110,"slug":290,"count":72},"risk-management",{"key":292,"label":77,"slug":292,"count":72},"containerization",{"key":294,"label":295,"slug":294,"count":72},"cicd","Ci\u002FCd",{"key":297,"label":298,"slug":297,"count":72},"mlops","Mlops",{"key":300,"label":135,"slug":300,"count":83},"monitoring",{"key":302,"label":197,"slug":302,"count":83},"cloud-engineering",{"key":304,"label":226,"slug":304,"count":83},"access-control",{"key":306,"label":248,"slug":306,"count":83},"data-warehousing",{"key":308,"label":111,"slug":308,"count":83},"data-science-support",{"key":310,"label":81,"slug":310,"count":83},"data-protection",{"key":312,"label":132,"slug":312,"count":83},"cloud-infrastructure",{"key":314,"label":137,"slug":314,"count":83},"service-orchestration",{"key":316,"label":167,"slug":316,"count":83},"regulatory-reporting",{"key":318,"label":319,"slug":318,"count":83},"api-management","Api 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