[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-dynamic-tables-gb":3,"job-search-\u002Fde-gb\u002Fjobs-by-skill\u002Fdynamic-tables":4,"skill-page-filters-\u002Fde-gb\u002Fjobs-by-skill\u002Fdynamic-tables":108,"featured-jobs-\u002Fde-gb\u002Fjobs-by-skill\u002Fdynamic-tables":227},{},{"total":5,"jobs":6},2,[7,81],{"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":31,"processed_job_expertise_skills":55,"processed_job_expertise_skills_labels":56,"max_cpc":80,"actual_cpc":80},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":5,"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,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54],"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},[57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79],"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",1,{"id":82,"slug":83,"title":84,"raw_title":11,"is_featured":12,"company":85,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":86,"processed_country_iso_code_gmaps":87,"processed_home_office":20,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":90,"processed_employment_types":27,"processed_it_skills":91,"processed_it_skills_labels":92,"processed_job_expertise_skills":95,"processed_job_expertise_skills_labels":96,"max_cpc":80,"actual_cpc":80},95088,"lead-data-engineer-mg-fa-limited","Lead Data Engineer",{"name":14,"slug":15,"logo_url":11},[17],[19],90000,120000,[26],{"api":29,"cdc":29,"dbt":30,"git":29,"sql":30,"azure":29,"ci\u002Fcd":29,"python":30,"dataops":29,"snowpark":30,"snowpipe":30,"snowflake":30,"streaming":29,"databricks":5,"dynamic tables":30,"streams and tasks":30,"ai-assisted coding tools":29},[32,33,34,35,36,37,38,39,40,41,93,44,43,45,46,48,94],"Git","AI-assisted coding tools",{"elt":30,"data mesh":29,"data lineage":30,"data privacy":29,"data quality":30,"cloud security":29,"data catalogue":30,"investment data":29,"asset management":30,"data engineering":30,"access management":29,"data observability":30,"financial services":30,"lakehouse patterns":30,"performance tuning":30,"data reconciliation":30,"data pipeline design":30,"domain data modelling":30,"regulatory compliance":29,"medallion architecture":30,"data platform migrations":30,"data product development":30,"cost optimisation (finops)":30,"dimensional data modelling":30,"legacy platform retirement":30,"semantic layer implementation":30,"hub-and-spoke data operating models":29},[57,97,98,59,60,61,62,63,65,99,100,101,102,67,69,68,103,72,73,76,104,77,74,75,105,106,107],"Data Pipeline Design","Data Product Development","Data Catalogue","Data Quality","Data Lineage","Data Observability","Regulatory Compliance","Data Reconciliation","Financial Services","Performance Tuning","Cost Optimisation (FinOps)",{"industry":109,"employment_type":112,"expertise_skills":115,"it_skills":167,"salary_currency":223,"processed_working_hours":225},[110],{"key":111,"label":105,"count":5},"financial services",[113],{"key":27,"label":114,"count":5},"PERMANENT",[116,118,120,122,124,126,129,131,134,136,138,140,142,144,146,148,150,152,155,157,159,161,163,165],{"key":117,"label":76,"slug":117,"count":5},"data-platform-migrations",{"key":119,"label":67,"slug":119,"count":5},"cloud-security",{"key":121,"label":74,"slug":121,"count":5},"investment-data",{"key":123,"label":75,"slug":123,"count":5},"asset-management",{"key":125,"label":77,"slug":125,"count":5},"legacy-platform-retirement",{"key":127,"label":128,"slug":127,"count":5},"hub-and-spoke-data-operating-models","Hub-And-Spoke Data Operating Models",{"key":130,"label":72,"slug":130,"count":5},"data-mesh",{"key":132,"label":133,"slug":132,"count":5},"elt","Elt",{"key":135,"label":62,"slug":135,"count":5},"dimensional-data-modelling",{"key":137,"label":57,"slug":137,"count":5},"data-engineering",{"key":139,"label":63,"slug":139,"count":5},"domain-data-modelling",{"key":141,"label":60,"slug":141,"count":5},"lakehouse-patterns",{"key":143,"label":59,"slug":143,"count":5},"medallion-architecture",{"key":145,"label":69,"slug":145,"count":5},"access-management",{"key":147,"label":68,"slug":147,"count":5},"data-privacy",{"key":149,"label":65,"slug":149,"count":5},"semantic-layer-implementation",{"key":151,"label":98,"slug":151,"count":80},"data-product-development",{"key":153,"label":154,"slug":153,"count":80},"cost-optimisation-finops","Cost Optimisation (Finops)",{"key":156,"label":106,"slug":156,"count":80},"performance-tuning",{"key":158,"label":102,"slug":158,"count":80},"data-observability",{"key":160,"label":97,"slug":160,"count":80},"data-pipeline-design",{"key":162,"label":103,"slug":162,"count":80},"regulatory-compliance",{"key":164,"label":101,"slug":164,"count":80},"data-lineage",{"key":166,"label":99,"slug":166,"count":80},"data-catalogue",[168,171,174,176,178,181,184,186,188,190,193,195,197,200,202,204,207,210,211,213,214,216,219,220],{"key":169,"label":170,"slug":169,"count":5},"cicd","Ci\u002FCd",{"key":172,"label":173,"slug":172,"count":5},"ms-azure","MS Azure",{"key":175,"label":35,"slug":175,"count":5},"dynamic-tables",{"key":177,"label":36,"slug":177,"count":5},"snowpark",{"key":179,"label":180,"slug":179,"count":5},"cdc","Cdc",{"key":182,"label":183,"slug":182,"count":5},"dataops","Dataops",{"key":185,"label":38,"slug":185,"count":5},"databricks",{"key":187,"label":45,"slug":187,"count":5},"streaming",{"key":189,"label":39,"slug":189,"count":5},"sql",{"key":191,"label":192,"slug":191,"count":5},"streams-and-tasks","Streams And Tasks",{"key":194,"label":33,"slug":194,"count":5},"snowpipe",{"key":196,"label":40,"slug":196,"count":5},"python",{"key":198,"label":199,"slug":198,"count":5},"api","Api",{"key":41,"label":201,"slug":41,"count":5},"Dbt",{"key":203,"label":32,"slug":203,"count":5},"snowflake",{"key":205,"label":206,"slug":205,"count":80},"ai-assisted-data-engineering","Ai-Assisted Data Engineering",{"key":208,"label":209,"slug":208,"count":80},"data-pipeline-orchestration","Data Pipeline Orchestration",{"key":158,"label":102,"slug":158,"count":80},{"key":212,"label":100,"slug":212,"count":80},"data-quality",{"key":164,"label":101,"slug":164,"count":80},{"key":215,"label":93,"slug":215,"count":80},"git",{"key":217,"label":218,"slug":217,"count":80},"ai-assisted-coding-tools","Ai-Assisted Coding Tools",{"key":166,"label":99,"slug":166,"count":80},{"key":221,"label":222,"slug":221,"count":80},"data-quality-monitoring-tools","Data Quality Monitoring Tools",[224],{"key":23,"label":23,"count":5},[226],{"key":26,"label":26,"count":5},{"total":228,"jobs":229},0,[]]