[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-data-observability-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fdata-observability":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fdata-observability":82,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fdata-observability":205},{},{"total":5,"jobs":6},1,[7],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":32,"processed_job_expertise_skills":56,"processed_job_expertise_skills_labels":57,"max_cpc":5,"actual_cpc":81},95084,"head-of-data-engineering-mg-fa-limited","Head of Data Engineering",null,false,{"name":14,"slug":15,"logo_url":11},"M&G FA Limited","mg-fa-limited",[17],"London",[19],"GB","hybrid",100000,140000,"GBP","estimated",[26],"FULL_TIME","permanent",{"api":29,"cdc":29,"dbt":30,"sql":30,"azure":29,"ci\u002Fcd":30,"python":30,"dataops":30,"snowpark":30,"snowpipe":30,"snowflake":30,"streaming":29,"databricks":31,"data lineage":30,"data quality":30,"data catalogue":30,"dynamic tables":30,"streams and tasks":30,"data observability":30,"event-driven integration":29,"data pipeline orchestration":30,"ai-assisted data engineering":29,"data quality monitoring tools":29},3,4,2,[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55],"Snowflake","Snowpipe","Streams and Tasks","Dynamic Tables","Snowpark","Azure","Databricks","SQL","Python","dbt","Data pipeline orchestration","DataOps","CI\u002FCD","Streaming","CDC","Event-driven integration","API","Data catalogue","Data quality","Data lineage","Data observability","AI-assisted data engineering","Data quality monitoring tools",{"elt":30,"finops":30,"data mesh":30,"data privacy":30,"data products":30,"cloud security":30,"data governance":30,"investment data":30,"asset management":30,"data engineering":30,"access management":30,"lakehouse patterns":30,"domain data modelling":30,"medallion architecture":30,"performance engineering":30,"data platform migrations":30,"offshore team leadership":30,"data platform architecture":30,"dimensional data modelling":30,"legacy platform retirement":30,"semantic layer implementation":30,"regulatory control requirements":30,"hub-and-spoke data operating models":30},[58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80],"Data Engineering","Data Platform Architecture","Medallion Architecture","Lakehouse Patterns","ELT","Dimensional Data Modelling","Domain Data Modelling","Data Products","Semantic Layer Implementation","Data Governance","Cloud Security","Data Privacy","Access Management","Regulatory Control Requirements","Offshore Team Leadership","Data Mesh","Hub-and-Spoke Data Operating Models","Investment Data","Asset Management","Data Platform Migrations","Legacy Platform Retirement","FinOps","Performance Engineering",0.5,{"industry":83,"employment_type":87,"expertise_skills":90,"it_skills":140,"salary_currency":201,"processed_working_hours":203},[84],{"key":85,"label":86,"count":5},"financial services","Financial Services",[88],{"key":27,"label":89,"count":5},"PERMANENT",[91,93,95,97,99,102,104,106,109,111,113,115,118,120,122,124,126,128,130,132,134,136,138],{"key":92,"label":65,"slug":92,"count":5},"data-products",{"key":94,"label":68,"slug":94,"count":5},"cloud-security",{"key":96,"label":75,"slug":96,"count":5},"investment-data",{"key":98,"label":76,"slug":98,"count":5},"asset-management",{"key":100,"label":101,"slug":100,"count":5},"finops","Finops",{"key":103,"label":78,"slug":103,"count":5},"legacy-platform-retirement",{"key":105,"label":59,"slug":105,"count":5},"data-platform-architecture",{"key":107,"label":108,"slug":107,"count":5},"hub-and-spoke-data-operating-models","Hub-And-Spoke Data Operating Models",{"key":110,"label":71,"slug":110,"count":5},"regulatory-control-requirements",{"key":112,"label":67,"slug":112,"count":5},"data-governance",{"key":114,"label":73,"slug":114,"count":5},"data-mesh",{"key":116,"label":117,"slug":116,"count":5},"elt","Elt",{"key":119,"label":72,"slug":119,"count":5},"offshore-team-leadership",{"key":121,"label":63,"slug":121,"count":5},"dimensional-data-modelling",{"key":123,"label":58,"slug":123,"count":5},"data-engineering",{"key":125,"label":64,"slug":125,"count":5},"domain-data-modelling",{"key":127,"label":61,"slug":127,"count":5},"lakehouse-patterns",{"key":129,"label":60,"slug":129,"count":5},"medallion-architecture",{"key":131,"label":70,"slug":131,"count":5},"access-management",{"key":133,"label":69,"slug":133,"count":5},"data-privacy",{"key":135,"label":66,"slug":135,"count":5},"semantic-layer-implementation",{"key":137,"label":80,"slug":137,"count":5},"performance-engineering",{"key":139,"label":77,"slug":139,"count":5},"data-platform-migrations",[141,144,147,149,152,155,158,160,162,165,168,170,172,175,178,181,183,185,187,190,193,196,198],{"key":142,"label":143,"slug":142,"count":5},"cicd","Ci\u002FCd",{"key":145,"label":146,"slug":145,"count":5},"ai-assisted-data-engineering","Ai-Assisted Data Engineering",{"key":148,"label":41,"slug":148,"count":5},"python",{"key":150,"label":151,"slug":150,"count":5},"data-observability","Data Observability",{"key":153,"label":154,"slug":153,"count":5},"api","Api",{"key":156,"label":157,"slug":156,"count":5},"data-lineage","Data Lineage",{"key":42,"label":159,"slug":42,"count":5},"Dbt",{"key":161,"label":33,"slug":161,"count":5},"snowflake",{"key":163,"label":164,"slug":163,"count":5},"data-quality-monitoring-tools","Data Quality Monitoring Tools",{"key":166,"label":167,"slug":166,"count":5},"ms-azure","MS Azure",{"key":169,"label":36,"slug":169,"count":5},"dynamic-tables",{"key":171,"label":37,"slug":171,"count":5},"snowpark",{"key":173,"label":174,"slug":173,"count":5},"cdc","Cdc",{"key":176,"label":177,"slug":176,"count":5},"dataops","Dataops",{"key":179,"label":180,"slug":179,"count":5},"event-driven-integration","Event-Driven Integration",{"key":182,"label":39,"slug":182,"count":5},"databricks",{"key":184,"label":46,"slug":184,"count":5},"streaming",{"key":186,"label":40,"slug":186,"count":5},"sql",{"key":188,"label":189,"slug":188,"count":5},"data-catalogue","Data Catalogue",{"key":191,"label":192,"slug":191,"count":5},"streams-and-tasks","Streams And Tasks",{"key":194,"label":195,"slug":194,"count":5},"data-quality","Data Quality",{"key":197,"label":34,"slug":197,"count":5},"snowpipe",{"key":199,"label":200,"slug":199,"count":5},"data-pipeline-orchestration","Data Pipeline Orchestration",[202],{"key":23,"label":23,"count":5},[204],{"key":26,"label":26,"count":5},{"total":5,"jobs":206},[207],{"id":208,"slug":209,"title":210,"raw_title":11,"is_featured":211,"company":212,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":216,"processed_country_iso_code_gmaps":218,"processed_home_office":220,"processed_salary_min":221,"processed_salary_max":222,"processed_salary_currency":223,"processed_salary_source":11,"processed_working_hours":224,"processed_employment_types":89,"processed_it_skills":226,"processed_it_skills_labels":11,"processed_job_expertise_skills":227,"processed_job_expertise_skills_labels":228,"max_cpc":235,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":213,"slug":214,"logo_url":215},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[217],"Frankfurt am Main",[219],"DE","HYBRID",45000,65000,"EUR",[225],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[229,230,231,232,233,234],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]