[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-data-engineering-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fdata-engineering":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fdata-engineering":687,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fdata-engineering":853},{},{"total":5,"jobs":6},24,[7,51,103,140,164,188,225,262,305,339,377,411,426,454,484,537,572,616,638,664],{"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":39,"processed_job_expertise_skills_labels":40,"max_cpc":50,"actual_cpc":50},82471,"associate-resource-optimization-analytics-global-markets-12-24-month-contract-cibc-world-markets-inc-canada","Associate, Resource Optimization & Analytics, Global Markets (12-24 month contract)",null,false,{"name":14,"slug":15,"logo_url":11},"CIBC World Markets Inc (Canada)","cibc-world-markets-inc-canada",[17],"Toronto",[19],"CA","onsite",100000,125000,"CAD","estimated",[26],"FULL_TIME","temporary",{"sql":29,"python":29,"databricks":30,"plotly dash":30,"cloud platforms":30,"data engineering":30,"machine learning":30},4,3,[32,33,34,35,36,37,38],"Python","SQL","Databricks","Plotly Dash","Data Engineering","Cloud Platforms","Machine Learning",{"data analytics":29,"ui development":29,"capital markets":30,"scenario analysis":29,"integrated planning":29,"collateral management":30,"dashboard development":29,"resource optimization":29,"liquidity risk management":30},[41,42,43,44,45,46,47,48,49],"Data Analytics","Dashboard Development","UI Development","Scenario Analysis","Integrated Planning","Capital Markets","Liquidity Risk Management","Collateral Management","Resource Optimization",1,{"id":52,"slug":53,"title":54,"raw_title":11,"is_featured":12,"company":55,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":58,"processed_country_iso_code_gmaps":60,"processed_home_office":20,"processed_salary_min":62,"processed_salary_max":63,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":65,"processed_employment_types":66,"processed_it_skills":67,"processed_it_skills_labels":68,"processed_job_expertise_skills":87,"processed_job_expertise_skills_labels":88,"max_cpc":50,"actual_cpc":50},87453,"ai-solutions-engineer-portsmouth-nh-service-federal-credit-union","AI Solutions Engineer - Portsmouth NH",{"name":56,"slug":57,"logo_url":11},"Service Federal Credit Union","service-federal-credit-union",[59],"Portsmouth",[61],"US",94960,118700,"USD",[26],"permanent",{"sql":29,"devops":30,"python":29,"uipath":30,"rest apis":29,"javascript":29,"typescript":29,"generative ai":29,"microsoft azure":29,"semantic search":30,"data engineering":30,"machine learning":29,"vector databases":30,"azure ai services":29,"microsoft copilot":30,"prompt engineering":29,"automation anywhere":30,"business intelligence":30,"source control systems":30,"microsoft power automate":30,"robotic process automation":30,"model context protocol (mcp)":30},[32,69,70,33,71,72,73,74,75,76,77,78,79,80,81,82,38,83,84,85,36,86],"JavaScript","TypeScript","Microsoft Azure","Azure AI services","REST APIs","Microsoft Power Automate","UiPath","Automation Anywhere","DevOps","Source Control Systems","Vector Databases","Semantic Search","Model Context Protocol (MCP)","Microsoft Copilot","Generative AI","Prompt Engineering","Robotic Process Automation","Business Intelligence",{"data privacy":29,"ai governance":30,"generative ai":29,"data analytics":29,"reporting tools":30,"risk management":29,"machine learning":29,"security controls":29,"cloud technologies":29,"prompt engineering":29,"workflow automation":29,"predictive analytics":29,"dashboard development":30,"regulatory compliance":29,"artificial intelligence":29,"model context protocol (mcp)":30,"financial services regulations":29,"nist ai risk management framework":30,"enterprise application integration":29,"retrieval-augmented generation (rag)":29},[89,38,83,84,90,81,91,92,93,41,94,42,95,96,97,98,99,100,101,102],"Artificial Intelligence","Retrieval-Augmented Generation (RAG)","Enterprise Application Integration","Cloud Technologies","Workflow Automation","Predictive Analytics","Reporting Tools","Regulatory Compliance","Risk Management","Data Privacy","Security Controls","Financial Services Regulations","AI Governance","NIST AI Risk Management Framework",{"id":104,"slug":105,"title":106,"raw_title":11,"is_featured":12,"company":107,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":111,"processed_country_iso_code_gmaps":113,"processed_home_office":115,"processed_salary_min":116,"processed_salary_max":117,"processed_salary_currency":118,"processed_salary_source":24,"processed_working_hours":119,"processed_employment_types":66,"processed_it_skills":120,"processed_it_skills_labels":121,"processed_job_expertise_skills":129,"processed_job_expertise_skills_labels":130,"max_cpc":50,"actual_cpc":50},84246,"chapter-lead-data-finance-risk-ing-bank-personeel-bv","Chapter Lead Data - Finance & Risk",{"name":108,"slug":109,"logo_url":110},"ING Bank Personeel BV","ing-bank-personeel-bv","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[112],"Amsterdam",[114],"NL","hybrid",90000,130000,"EUR",[26],{"data modeling":29,"data ingestion":30,"data engineering":29,"data warehousing":29,"data architecture":29,"open-source components":30,"cloud-native principles":30,"data processing engines":30},[36,122,123,124,125,126,127,128],"Cloud-native principles","Open-source components","Data Architecture","Data Warehousing","Data Modeling","Data Ingestion","Data Processing Engines",{"accounting":30,"financial risk":30,"data engineering":29,"it risk management":30,"architecture vision":30,"resource management":30,"regulatory reporting":30,"requirements management":30,"financial industry knowledge":30,"software development lifecycle":30},[36,131,132,133,134,135,136,137,138,139],"Financial Industry Knowledge","Accounting","Regulatory Reporting","Financial Risk","IT Risk Management","Requirements Management","Software Development Lifecycle","Architecture Vision","Resource Management",{"id":141,"slug":142,"title":143,"raw_title":11,"is_featured":12,"company":144,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":147,"processed_country_iso_code_gmaps":149,"processed_home_office":20,"processed_salary_min":151,"processed_salary_max":152,"processed_salary_currency":153,"processed_salary_source":24,"processed_working_hours":154,"processed_employment_types":66,"processed_it_skills":155,"processed_it_skills_labels":156,"processed_job_expertise_skills":157,"processed_job_expertise_skills_labels":158,"max_cpc":50,"actual_cpc":50},86189,"vp-risk-analyst-business-operational-audit-ocbc-malaysia","VP - Risk Analyst, Business & Operational Audit",{"name":145,"slug":146,"logo_url":11},"OCBC Malaysia","ocbc-malaysia",[148],"Kuala Lumpur",[150],"MY",80000,120000,"MYR",[26],{"sql":29,"python":29,"data engineering":29,"machine learning":29,"predictive analytics":29},[32,33,38,94,36],{"audit":29,"surveillance":29,"data analysis":29,"risk management":29,"operational risk":29,"regulatory compliance":29,"financial crime compliance":29},[97,159,160,161,96,162,163],"Audit","Financial Crime Compliance","Operational Risk","Surveillance","Data Analysis",{"id":165,"slug":166,"title":167,"raw_title":11,"is_featured":12,"company":168,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":172,"processed_country_iso_code_gmaps":174,"processed_home_office":20,"processed_salary_min":175,"processed_salary_max":176,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":177,"processed_employment_types":178,"processed_it_skills":179,"processed_it_skills_labels":181,"processed_job_expertise_skills":186,"processed_job_expertise_skills_labels":187,"max_cpc":50,"actual_cpc":50},80409,"enterprise-data-intern-american-century-services-llc","Enterprise Data Intern",{"name":169,"slug":170,"logo_url":171},"American Century Services, LLC","american-century-services-llc","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fbd\u002FAmerican_Century_Investments_Logo.svg\u002F320px-American_Century_Investments_Logo.svg.png",[173],"Southlake",[61],62400,72800,[26],"student",{"sql":180,"python":180,"data science":180,"data analytics":180,"data engineering":180,"machine learning (ml)":180,"artificial intelligence (ai)":180,"cloud computing (aws or azure)":180},2,[32,33,41,36,182,183,184,185],"Data Science","Cloud Computing (AWS or Azure)","Artificial Intelligence (AI)","Machine Learning (ML)",{},[],{"id":189,"slug":190,"title":191,"raw_title":11,"is_featured":12,"company":192,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":196,"processed_country_iso_code_gmaps":198,"processed_home_office":115,"processed_salary_min":200,"processed_salary_max":21,"processed_salary_currency":118,"processed_salary_source":24,"processed_working_hours":201,"processed_employment_types":66,"processed_it_skills":202,"processed_it_skills_labels":203,"processed_job_expertise_skills":213,"processed_job_expertise_skills_labels":214,"max_cpc":50,"actual_cpc":50},70854,"senior-data-ai-transformation-expert-mfd-allianz-insurance","Senior Data & AI Transformation Expert (m\u002Ff\u002Fd)",{"name":193,"slug":194,"logo_url":195},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[197],"Barcelona",[199],"ES",70000,[26],{"ai":180,"sas":180,"azure":30,"ci\u002Fcd":30,"genai":180,"dataops":30,"etl\u002Felt":29,"snowflake":30,"databricks":30,"data modeling":29,"data engineering":29,"machine learning":180,"data architecture":29,"solution architecture":29},[204,34,205,206,126,124,207,36,208,209,210,38,211,212],"Azure","Snowflake","ETL\u002FELT","Solution Architecture","DataOps","CI\u002FCD","SAS","AI","GenAI",{"lean":30,"agile":30,"estimation":29,"data migration":29,"technical scoping":29,"data modernization":29,"delivery governance":29,"cloud data platforms":29,"insurance domain knowledge":180,"legacy system decommissioning":29},[215,216,217,218,219,220,221,222,223,224],"Data Modernization","Data Migration","Legacy System Decommissioning","Cloud Data Platforms","Technical Scoping","Estimation","Delivery Governance","Agile","Lean","Insurance Domain Knowledge",{"id":226,"slug":227,"title":228,"raw_title":11,"is_featured":12,"company":229,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":232,"processed_country_iso_code_gmaps":233,"processed_home_office":234,"processed_salary_min":235,"processed_salary_max":236,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":237,"processed_employment_types":66,"processed_it_skills":238,"processed_it_skills_labels":239,"processed_job_expertise_skills":248,"processed_job_expertise_skills_labels":249,"max_cpc":50,"actual_cpc":50},78126,"vice-president-product-management-situsamc-holdings-corp","Vice President, Product Management",{"name":230,"slug":231,"logo_url":11},"SitusAMC Holdings Corp","situsamc-holdings-corp",[],[],"remote",110000,170000,[26],{"big data":30,"ux design":30,"data engineering":30,"operating systems":30,"logical data models":30,"system architecture":30,"full stack development":30,"application infrastructure":30,"continuous integration and continuous delivery (ci\u002Fcd) pipelines":30},[240,241,242,243,36,244,245,246,247],"Continuous Integration and Continuous Delivery (CI\u002FCD) pipelines","Application Infrastructure","System Architecture","Operating Systems","Big Data","Logical Data Models","Full Stack Development","UX Design",{"product roadmap":29,"risk management":29,"solution design":29,"user interviews":29,"change management":29,"backlog management":29,"feature definition":29,"metrics definition":29,"product management":29,"release management":29,"user story writing":29,"agile methodologies":29,"real estate finance":30},[250,251,252,253,254,255,256,257,258,259,97,260,261],"Product Management","Agile Methodologies","Backlog Management","User Story Writing","Feature Definition","User Interviews","Product Roadmap","Release Management","Change Management","Metrics Definition","Solution Design","Real Estate Finance",{"id":263,"slug":264,"title":265,"raw_title":11,"is_featured":12,"company":266,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":269,"processed_country_iso_code_gmaps":271,"processed_home_office":20,"processed_salary_min":273,"processed_salary_max":274,"processed_salary_currency":275,"processed_salary_source":24,"processed_working_hours":276,"processed_employment_types":66,"processed_it_skills":277,"processed_it_skills_labels":278,"processed_job_expertise_skills":289,"processed_job_expertise_skills_labels":290,"max_cpc":50,"actual_cpc":50},75374,"return-to-work-program-bengaluru-morgan-stanley-advantage-svcs","Return to Work Program - Bengaluru",{"name":267,"slug":268,"logo_url":11},"Morgan Stanley Advantage Svcs","morgan-stanley-advantage-svcs",[270],"Bengaluru",[272],"IN",2000000,3500000,"INR",[26],{"ai":30,"c#":30,"c++":30,"etl":30,".net":30,"java":30,"scala":30,"ui\u002Fux":30,"gen ai":30,"python":30,"angular":30,"full stack":30,"data engineering":30},[279,280,281,282,283,32,284,285,286,287,211,288,36],"Java","Scala","Angular",".NET","C++","Full Stack","UI\u002FUX","C#","ETL","Gen AI",{"aml":30,"gru":30,"itu":30,"kyc":30,"taxation":30,"derivatives":30,"settlements":30,"trade support":30,"asset services":30,"reconciliation":30,"reference data":30,"prime brokerage":30,"client onboarding":30,"listed derivatives":30},[291,292,293,294,295,296,297,298,299,300,301,302,303,304],"KYC","Client Onboarding","AML","Reconciliation","Settlements","Asset Services","Reference Data","ITU","GRU","Taxation","Listed Derivatives","Derivatives","Trade Support","Prime Brokerage",{"id":306,"slug":307,"title":308,"raw_title":11,"is_featured":12,"company":309,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":312,"processed_country_iso_code_gmaps":314,"processed_home_office":20,"processed_salary_min":315,"processed_salary_max":316,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":317,"processed_employment_types":66,"processed_it_skills":318,"processed_it_skills_labels":319,"processed_job_expertise_skills":325,"processed_job_expertise_skills_labels":326,"max_cpc":50,"actual_cpc":50},78919,"director-financial-crime-technology-application-development-leader-tiaa-global-capabilities-private-limited","Director - Financial Crime Technology Application Development Leader",{"name":310,"slug":311,"logo_url":11},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[313],"Pune",[272],150000,250000,[26],{"sql":30,"jira":30,"agile":30,"python":30,"statistics":30,"generative ai":30,"data engineering":30,"data warehousing":29,"machine learning":30,"data architecture":29,"data visualization":30,"predictive modeling":30,"system architecture":30,"large language models":30},[32,33,320,38,83,321,124,125,36,322,323,324,242,222],"Jira","Large Language Models","Data Visualization","Predictive Modeling","Statistics",{"compliance":29,"ai governance":30,"data strategy":29,"responsible ai":30,"financial crime":29,"risk management":29,"fraud monitoring":29,"budget management":29,"vendor management":30,"portfolio analysis":30,"project management":29,"strategic planning":29,"resource management":29,"anti-money laundering":29,"regulatory compliance":29,"application development":29},[327,328,97,329,330,331,332,333,139,334,335,336,337,96,101,338],"Application Development","Compliance","Financial Crime","Anti-Money Laundering","Fraud Monitoring","Budget Management","Project Management","Strategic Planning","Data Strategy","Portfolio Analysis","Vendor Management","Responsible AI",{"id":340,"slug":341,"title":342,"raw_title":11,"is_featured":12,"company":343,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":346,"processed_country_iso_code_gmaps":348,"processed_home_office":115,"processed_salary_min":350,"processed_salary_max":351,"processed_salary_currency":352,"processed_salary_source":24,"processed_working_hours":353,"processed_employment_types":66,"processed_it_skills":354,"processed_it_skills_labels":355,"processed_job_expertise_skills":365,"processed_job_expertise_skills_labels":366,"max_cpc":50,"actual_cpc":50},72163,"market-and-valuations-risk-management-valuations-specialistanalyst-associate-senior-analyst-9019-deutsche-knowledge-services-pte-ltd-manila-branch","Market and Valuations Risk Management – Valuations Specialist\u002FAnalyst - Associate \u002F Senior Analyst",{"name":344,"slug":345,"logo_url":11},"9019 Deutsche Knowledge Services Pte. Ltd., Manila Branch","9019-deutsche-knowledge-services-pte-ltd-manila-branch",[347],"Manila",[349],"PH",600000,1200000,"PHP",[26],{"sql":30,"keras":29,"numpy":29,"pandas":29,"python":29,"pytorch":29,"tableau":30,"power bi":180,"tensorflow":29,"scikit-learn":29,"data engineering":30,"machine learning":29,"artificial intelligence":29,"cloud-based data platforms":30},[32,33,356,357,358,359,360,361,362,363,38,89,36,364],"Tableau","Power BI","scikit-learn","TensorFlow","PyTorch","Keras","Pandas","NumPy","Cloud-based data platforms",{"algorithms":30,"market risk":30,"data science":29,"control mindset":29,"data structures":30,"data visualization":30,"trading strategies":30,"quantitative finance":30,"regulatory environment":30,"valuation methodologies":30,"financial markets products":30,"software development best practices":30},[367,368,369,370,371,372,182,373,374,375,376,322],"Financial Markets Products","Valuation Methodologies","Market Risk","Trading Strategies","Regulatory Environment","Control Mindset","Quantitative Finance","Data Structures","Algorithms","Software Development Best Practices",{"id":378,"slug":379,"title":380,"raw_title":11,"is_featured":12,"company":381,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":384,"processed_country_iso_code_gmaps":386,"processed_home_office":115,"processed_salary_min":152,"processed_salary_max":388,"processed_salary_currency":389,"processed_salary_source":24,"processed_working_hours":390,"processed_employment_types":66,"processed_it_skills":391,"processed_it_skills_labels":392,"processed_job_expertise_skills":398,"processed_job_expertise_skills_labels":399,"max_cpc":50,"actual_cpc":50},75075,"global-customer-technology-director-refinitiv-limited","Global Customer Technology Director",{"name":382,"slug":383,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[385],"London",[387],"GB",180000,"GBP",[26],{"ai\u002Fml":29,"data analytics":29,"cloud computing":29,"data engineering":29,"digital workflows":29,"trading technology":29,"enterprise architecture":29},[393,394,36,395,41,396,397],"AI\u002FML","Cloud Computing","Enterprise Architecture","Digital Workflows","Trading Technology",{"value delivery":29,"knowledge sharing":29,"internal influence":29,"practice leadership":29,"technology strategy":29,"opportunity generation":29,"customer transformation":29,"hyperscaler partnership":30,"regulatory understanding":30,"financial markets knowledge":29,"industry thought leadership":29},[400,401,402,403,404,405,406,407,408,409,410],"Technology Strategy","Customer Transformation","Industry Thought Leadership","Opportunity Generation","Value Delivery","Internal Influence","Practice Leadership","Knowledge Sharing","Financial Markets Knowledge","Regulatory Understanding","Hyperscaler Partnership",{"id":412,"slug":413,"title":414,"raw_title":11,"is_featured":12,"company":415,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":416,"processed_country_iso_code_gmaps":417,"processed_home_office":115,"processed_salary_min":418,"processed_salary_max":116,"processed_salary_currency":352,"processed_salary_source":24,"processed_working_hours":419,"processed_employment_types":66,"processed_it_skills":420,"processed_it_skills_labels":421,"processed_job_expertise_skills":422,"processed_job_expertise_skills_labels":423,"max_cpc":50,"actual_cpc":50},82986,"market-valuation-and-risk-management-valuations-senior-specialist-avp-9019-deutsche-knowledge-services-pte-ltd-manila-branch","Market Valuation and Risk Management – Valuations Senior Specialist - AVP",{"name":344,"slug":345,"logo_url":11},[347],[349],60000,[26],{"sql":30,"keras":29,"numpy":29,"pandas":29,"python":29,"pytorch":29,"tableau":30,"power bi":180,"tensorflow":29,"scikit-learn":29,"data engineering":30,"machine learning":29,"artificial intelligence":29,"cloud-based data platforms":30},[32,33,356,357,358,359,360,361,362,363,38,89,36,364],{"ai ethics":30,"algorithms":30,"derivatives":29,"data analytics":30,"control mindset":29,"data structures":30,"data visualization":30,"trading strategies":30,"market risk management":29,"regulatory environment":30,"valuation methodologies":29,"financial markets products":29,"software development best practices":30},[367,368,424,302,370,371,372,41,425,322,376,374,375],"Market Risk Management","AI Ethics",{"id":427,"slug":428,"title":429,"raw_title":11,"is_featured":12,"company":430,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":431,"processed_country_iso_code_gmaps":433,"processed_home_office":115,"processed_salary_min":418,"processed_salary_max":116,"processed_salary_currency":118,"processed_salary_source":24,"processed_working_hours":435,"processed_employment_types":66,"processed_it_skills":436,"processed_it_skills_labels":437,"processed_job_expertise_skills":441,"processed_job_expertise_skills_labels":442,"max_cpc":50,"actual_cpc":50},70931,"product-owner-for-data-ai-transformation-allianz-insurance","Product Owner for Data & AI Transformation",{"name":193,"slug":194,"logo_url":195},[432],"Bucharest",[434],"RO",[26],{"ai":180,"sas":30,"azure":29,"ci\u002Fcd":30,"dataops":30,"snowflake":29,"databricks":29,"data modeling":29,"generative ai":180,"data engineering":29,"machine learning":180,"data architecture":29,"etl\u002Felt pipelines":29,"cloud data platforms":29,"solution architecture":29},[204,205,34,210,438,439,36,124,207,440,208,209,83,38,211],"ETL\u002FELT pipelines","Data modeling","Cloud data platforms",{"data migration":29,"data validation":29,"cutover management":29,"data modernization":29,"lean methodologies":30,"project management":29,"agile methodologies":30,"delivery governance":29,"insurance domain knowledge":180,"legacy system decommissioning":29,"technical scoping and estimation":29},[443,444,445,446,447,448,449,450,451,452,453],"Data modernization","Data migration","Legacy system decommissioning","Cutover management","Data validation","Technical scoping and estimation","Delivery governance","Agile methodologies","Lean methodologies","Insurance domain knowledge","Project management",{"id":455,"slug":456,"title":457,"raw_title":11,"is_featured":12,"company":458,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":461,"processed_country_iso_code_gmaps":463,"processed_home_office":115,"processed_salary_min":465,"processed_salary_max":466,"processed_salary_currency":467,"processed_salary_source":24,"processed_working_hours":468,"processed_employment_types":66,"processed_it_skills":469,"processed_it_skills_labels":470,"processed_job_expertise_skills":477,"processed_job_expertise_skills_labels":478,"max_cpc":50,"actual_cpc":50},78492,"vp-head-of-data-transformation-pt-sun-life-financial-indonesia","VP, Head of Data Transformation",{"name":459,"slug":460,"logo_url":11},"PT Sun Life Financial Indonesia","pt-sun-life-financial-indonesia",[462],"Kota Jakarta Selatan",[464],"ID",1200000000,2000000000,"IDR",[26],{"aws":30,"gcp":30,"azure":30,"ai enablement":29,"data modelling":29,"data management":29,"data engineering":29,"data architecture":29,"advanced analytics":29},[471,204,472,36,124,473,474,475,476],"AWS","GCP","Data Management","Data Modelling","Advanced Analytics","AI Enablement",{"data strategy":29,"data governance":29,"data transformation":29,"insurance industry knowledge":30,"regulatory compliance (ojk, uu pdp)":29,"financial services industry knowledge":30},[335,479,480,481,482,483],"Data Governance","Data Transformation","Regulatory Compliance (OJK, UU PDP)","Insurance Industry Knowledge","Financial Services Industry Knowledge",{"id":485,"slug":486,"title":487,"raw_title":11,"is_featured":12,"company":488,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":491,"processed_country_iso_code_gmaps":493,"processed_home_office":115,"processed_salary_min":494,"processed_salary_max":495,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":496,"processed_employment_types":66,"processed_it_skills":497,"processed_it_skills_labels":498,"processed_job_expertise_skills":505,"processed_job_expertise_skills_labels":506,"max_cpc":50,"actual_cpc":50},76704,"director-data-strategy-data-products-activation-prudential-ins-co-of-america","Director, Data Strategy, Data Products & Activation",{"name":489,"slug":490,"logo_url":11},"Prudential Ins Co of America","prudential-ins-co-of-america",[492],"Newark",[61],158800,238200,[26],{"sql":30,"python":30,"marketo":29,"ai\u002Fml enablement":30,"data engineering":30,"data architecture":30,"cloud-native data stacks":30,"adobe experience platform":29,"enterprise data warehouse (edw)":29,"salesforce marketing cloud (sfmc)":29},[499,500,501,502,36,124,503,504,33,32],"Adobe Experience Platform","Marketo","Salesforce Marketing Cloud (SFMC)","Enterprise Data Warehouse (EDW)","Cloud-native data stacks","AI\u002FML enablement",{"agile":30,"budgeting":30,"compliance":29,"ethical ai":29,"attribution":29,"stewardship":29,"data capture":29,"data lineage":29,"data privacy":29,"data quality":29,"lean product":30,"roi modeling":29,"cdp platforms":29,"data strategy":29,"martech stack":29,"identity graph":29,"kpi definition":29,"data cataloging":29,"data governance":29,"data management":29,"design thinking":30,"instrumentation":29,"campaign taxonomy":29,"matrix leadership":29,"vendor management":30,"consent management":29,"project management":29,"identity resolution":29,"metadata management":29,"data democratization":29,"data risk management":29,"self-serve analytics":29,"continuous improvement":29,"data product lifecycle":29,"performance monitoring":29,"closed-loop measurement":29,"data product management":29,"marketing data and technology":29},[335,473,507,508,479,509,510,511,512,513,514,515,516,517,98,518,328,519,520,222,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,333,337],"Data Product Management","Marketing Data and Technology","Metadata Management","Data Lineage","Data Cataloging","Data Quality","Stewardship","Identity Resolution","Identity Graph","CDP Platforms","MarTech Stack","Consent Management","Closed-loop Measurement","Attribution","Design Thinking","Lean Product","Data Product Lifecycle","KPI Definition","ROI Modeling","Data Democratization","Self-serve Analytics","Data Risk Management","Ethical AI","Campaign Taxonomy","Instrumentation","Data Capture","Performance Monitoring","Continuous Improvement","Matrix Leadership","Budgeting",{"id":538,"slug":539,"title":540,"raw_title":11,"is_featured":12,"company":541,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":544,"processed_country_iso_code_gmaps":545,"processed_home_office":20,"processed_salary_min":546,"processed_salary_max":547,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":548,"processed_employment_types":66,"processed_it_skills":549,"processed_it_skills_labels":550,"processed_job_expertise_skills":559,"processed_job_expertise_skills_labels":560,"max_cpc":50,"actual_cpc":50},66699,"avp-data-products-and-engineering-the-toronto-dominion-bank-canada","AVP, Data Products and Engineering",{"name":542,"slug":543,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[17],[19],155000,215000,[26],{"lineage":29,"ontology":30,"data quality":29,"observability":29,"data contracts":29,"data modelling":29,"semantic layers":30,"data engineering":29,"knowledge graphs":30,"lakehouse platforms":29,"metadata management":29,"ai-ready data structures":30},[36,474,551,552,509,512,553,554,555,556,557,558],"Lakehouse Platforms","Data Contracts","Lineage","Observability","Semantic Layers","Ontology","Knowledge Graphs","AI-Ready Data Structures",{"ai":29,"finance":29,"payments":29,"analytics":29,"compliance":29,"governance":29,"capital markets":29,"risk management":29,"operating models":29,"corporate banking":29,"front office data":29,"sales and trading":29,"investment banking":29,"roadmap development":29,"technology delivery":29,"data product management":29},[46,561,507,562,211,563,564,565,566,567,568,569,570,97,328,571],"Front Office Data","Analytics","Technology Delivery","Sales and Trading","Corporate Banking","Investment Banking","Payments","Operating Models","Roadmap Development","Governance","Finance",{"id":573,"slug":574,"title":575,"raw_title":11,"is_featured":12,"company":576,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":579,"processed_country_iso_code_gmaps":581,"processed_home_office":115,"processed_salary_min":418,"processed_salary_max":116,"processed_salary_currency":118,"processed_salary_source":24,"processed_working_hours":583,"processed_employment_types":66,"processed_it_skills":584,"processed_it_skills_labels":585,"processed_job_expertise_skills":589,"processed_job_expertise_skills_labels":590,"max_cpc":50,"actual_cpc":50},73624,"digital-assets-compliance-engineer-ing-hubs-bv-turkiye","Digital Assets Compliance Engineer",{"name":577,"slug":578,"logo_url":11},"ING Hubs B.V. Turkiye","ing-hubs-bv-turkiye",[580],"Sarıyer",[582],"TR",[26],{"sql":30,"devops":180,"python":30,"api integration":30,"graph analytics":180,"data engineering":30,"machine learning":180,"blockchain analytics tools (e.g., chainalysis, trm labs)":30},[32,33,586,36,587,38,588,77],"Blockchain Analytics Tools (e.g., Chainalysis, TRM Labs)","API Integration","Graph Analytics",{"cbdcs":180,"aml\u002Fcft":29,"custody":180,"settlement":180,"stablecoins":180,"alert triage":30,"tokenization":180,"audit evidence":30,"defi protocols":180,"case management":30,"data governance":30,"crypto typologies":30,"sanctions screening":29,"smart contract risk":180,"transaction tracing":30,"wallet risk scoring":30,"blockchain analytics":30,"regulatory technology":30,"customer due diligence":30,"enhanced due diligence":30,"transaction monitoring":29,"investigation workflows":30,"travel rule requirements":30,"suspicious activity reporting":30,"eu digital asset regulation (mica)":30,"permissioned blockchain platforms (e.g., corda, hyperledger)":180},[591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,479,614,615],"AML\u002FCFT","Sanctions Screening","Transaction Monitoring","Customer Due Diligence","Enhanced Due Diligence","Suspicious Activity Reporting","Blockchain Analytics","Wallet Risk Scoring","Transaction Tracing","Crypto Typologies","Travel Rule Requirements","EU Digital Asset Regulation (MiCA)","Case Management","Alert Triage","Investigation Workflows","Tokenization","Stablecoins","CBDCs","Custody","Settlement","Permissioned Blockchain Platforms (e.g., Corda, Hyperledger)","DeFi Protocols","Smart Contract Risk","Audit Evidence","Regulatory Technology",{"id":617,"slug":618,"title":619,"raw_title":11,"is_featured":12,"company":620,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":623,"processed_country_iso_code_gmaps":625,"processed_home_office":20,"processed_salary_min":626,"processed_salary_max":627,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":628,"processed_employment_types":66,"processed_it_skills":629,"processed_it_skills_labels":630,"processed_job_expertise_skills":633,"processed_job_expertise_skills_labels":634,"max_cpc":50,"actual_cpc":50},67540,"gen-ai-data-engineer-ii-020-travelers-indemnity-co","Gen AI - Data Engineer II",{"name":621,"slug":622,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[624],"Atlanta",[61],126500,208700,[26],{"python":29,"cloud platforms":29,"data engineering":29,"full stack design\u002Farchitecture":29,"gen ai concepts (agentic frameworks, rag, llm, chunking, hyper-parameters)":29},[32,37,631,36,632],"Gen AI concepts (Agentic Frameworks, RAG, LLM, Chunking, Hyper-parameters)","Full Stack Design\u002FArchitecture",{"data quality":30,"data analysis":29,"data security":30,"data governance":30,"system analysis":30,"data engineering":29,"software engineering practices":29},[36,479,635,512,163,636,637],"Data Security","System Analysis","Software Engineering Practices",{"id":639,"slug":640,"title":641,"raw_title":11,"is_featured":12,"company":642,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":645,"processed_country_iso_code_gmaps":647,"processed_home_office":20,"processed_salary_min":200,"processed_salary_max":116,"processed_salary_currency":649,"processed_salary_source":24,"processed_working_hours":650,"processed_employment_types":27,"processed_it_skills":651,"processed_it_skills_labels":652,"processed_job_expertise_skills":657,"processed_job_expertise_skills_labels":658,"max_cpc":50,"actual_cpc":50},46887,"graduate-program-technology-development-stream-cmc-markets-stockbroking-limited","Graduate Program - Technology Development stream",{"name":643,"slug":644,"logo_url":11},"CMC Markets Stockbroking Limited","cmc-markets-stockbroking-limited",[646],"Sydney",[648],"AU","AUD",[26],{"ai":30,"sdlc":30,"data engineering":30,"agile development":30,"production support":30,"prompt engineering":30,"software engineering":29},[653,211,36,84,654,655,656],"Software Engineering","Agile Development","SDLC","Production Support",{"ai evaluation":30,"structured ai outputs":30,"enterprise ai governance":30,"financial markets knowledge":30,"ai skills and agent workflows":30,"regulated software development":30},[408,659,660,661,662,663],"Regulated Software Development","Enterprise AI Governance","AI Evaluation","AI Skills and Agent Workflows","Structured AI Outputs",{"id":665,"slug":666,"title":667,"raw_title":11,"is_featured":12,"company":668,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":669,"processed_country_iso_code_gmaps":670,"processed_home_office":20,"processed_salary_min":671,"processed_salary_max":672,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":673,"processed_employment_types":66,"processed_it_skills":674,"processed_it_skills_labels":675,"processed_job_expertise_skills":680,"processed_job_expertise_skills_labels":681,"max_cpc":50,"actual_cpc":686},65796,"machine-learning-engineer-ii-the-toronto-dominion-bank-canada","Machine Learning Engineer II",{"name":542,"slug":543,"logo_url":11},[17],[19],154000,199500,[26],{"r":30,"sql":29,"mlops":29,"scala":30,"python":29,"data engineering":29,"machine learning":29,"cloud architecture":30,"software development":29},[32,676,33,280,677,678,38,36,679],"R","Cloud Architecture","MLOps","Software Development",{"scrum":30,"data science":29,"generative ai":29,"responsible ai":30,"product adoption":30,"time series forecasting":30,"machine learning systems":29},[182,682,83,683,338,684,685],"Machine Learning Systems","Time Series Forecasting","Product Adoption","Scrum",0.5,{"industry":688,"employment_type":722,"expertise_skills":730,"it_skills":780,"salary_currency":838,"processed_working_hours":851},[689,693,697,701,704,707,710,713,716,719],{"key":690,"label":691,"count":692},"financial services","Financial Services",16,{"key":694,"label":695,"count":696},"banking","Banking",6,{"key":698,"label":699,"count":700},"insurance","Insurance",5,{"key":702,"label":703,"count":180},"financial markets infrastructure","Financial Markets Infrastructure",{"key":705,"label":706,"count":180},"data","Data",{"key":708,"label":709,"count":50},"real estate","Real Estate",{"key":711,"label":712,"count":50},"credit union","Credit Union",{"key":714,"label":715,"count":50},"asset management","Asset Management",{"key":717,"label":718,"count":50},"property","Property",{"key":720,"label":721,"count":50},"casualty insurance","Casualty Insurance",[723,726,728],{"key":66,"label":724,"count":725},"PERMANENT",20,{"key":178,"label":727,"count":180},"STUDENT",{"key":27,"label":729,"count":180},"TEMPORARY",[731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,766,768,770,772,774,776,778],{"key":732,"label":97,"slug":732,"count":696},"risk-management",{"key":734,"label":453,"slug":734,"count":700},"project-management",{"key":736,"label":41,"slug":736,"count":29},"data-analytics",{"key":738,"label":182,"slug":738,"count":29},"data-science",{"key":740,"label":479,"slug":740,"count":29},"data-governance",{"key":742,"label":163,"slug":742,"count":29},"data-analysis",{"key":744,"label":96,"slug":744,"count":30},"regulatory-compliance",{"key":746,"label":335,"slug":746,"count":30},"data-strategy",{"key":748,"label":328,"slug":748,"count":30},"compliance",{"key":750,"label":336,"slug":750,"count":180},"portfolio-analysis",{"key":752,"label":216,"slug":752,"count":180},"data-migration",{"key":754,"label":217,"slug":754,"count":180},"legacy-system-decommissioning",{"key":756,"label":368,"slug":756,"count":180},"valuation-methodologies",{"key":758,"label":367,"slug":758,"count":180},"financial-markets-products",{"key":760,"label":89,"slug":760,"count":180},"artificial-intelligence",{"key":762,"label":322,"slug":762,"count":180},"data-visualization",{"key":764,"label":765,"slug":764,"count":180},"responsible-ai","Responsible Ai",{"key":767,"label":370,"slug":767,"count":180},"trading-strategies",{"key":769,"label":46,"slug":769,"count":180},"capital-markets",{"key":771,"label":139,"slug":771,"count":180},"resource-management",{"key":773,"label":42,"slug":773,"count":180},"dashboard-development",{"key":775,"label":215,"slug":775,"count":180},"data-modernization",{"key":777,"label":224,"slug":777,"count":180},"insurance-domain-knowledge",{"key":779,"label":371,"slug":779,"count":180},"regulatory-environment",[781,783,786,789,792,794,796,799,802,805,806,808,810,812,813,816,819,821,823,825,828,830,833,836],{"key":782,"label":36,"slug":782,"count":5},"data-engineering",{"key":784,"label":32,"slug":784,"count":785},"python",15,{"key":787,"label":38,"slug":787,"count":788},"machine-learning",13,{"key":790,"label":33,"slug":790,"count":791},"sql",12,{"key":793,"label":124,"slug":793,"count":696},"data-architecture",{"key":795,"label":126,"slug":795,"count":29},"data-modeling",{"key":797,"label":798,"slug":797,"count":29},"ai","Ai",{"key":800,"label":801,"slug":800,"count":30},"ms-azure","MS Azure",{"key":803,"label":804,"slug":803,"count":30},"generative-ai","Generative Ai",{"key":762,"label":322,"slug":762,"count":30},{"key":807,"label":34,"slug":807,"count":30},"databricks",{"key":809,"label":84,"slug":809,"count":30},"prompt-engineering",{"key":811,"label":676,"slug":811,"count":30},"r",{"key":736,"label":41,"slug":736,"count":30},{"key":814,"label":815,"slug":814,"count":180},"aws","Aws",{"key":817,"label":818,"slug":817,"count":180},"sas","Sas",{"key":820,"label":361,"slug":820,"count":180},"keras",{"key":822,"label":474,"slug":822,"count":180},"data-modelling",{"key":824,"label":324,"slug":824,"count":180},"statistics",{"key":826,"label":827,"slug":826,"count":180},"dataops","Dataops",{"key":829,"label":205,"slug":829,"count":180},"snowflake",{"key":831,"label":832,"slug":831,"count":180},"mlops","Mlops",{"key":834,"label":835,"slug":834,"count":180},"numpy","Numpy",{"key":837,"label":356,"slug":837,"count":180},"tableau",[839,841,842,843,844,845,846,848,849,850],{"key":64,"label":64,"count":840},7,{"key":118,"label":118,"count":696},{"key":23,"label":23,"count":30},{"key":352,"label":352,"count":180},{"key":153,"label":153,"count":50},{"key":649,"label":649,"count":50},{"key":847,"label":847,"count":50},"VND",{"key":389,"label":389,"count":50},{"key":467,"label":467,"count":50},{"key":275,"label":275,"count":50},[852],{"key":26,"label":26,"count":5},{"total":50,"jobs":854},[855],{"id":856,"slug":857,"title":858,"raw_title":11,"is_featured":859,"company":860,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":864,"processed_country_iso_code_gmaps":866,"processed_home_office":868,"processed_salary_min":869,"processed_salary_max":870,"processed_salary_currency":118,"processed_salary_source":11,"processed_working_hours":871,"processed_employment_types":724,"processed_it_skills":873,"processed_it_skills_labels":11,"processed_job_expertise_skills":874,"processed_job_expertise_skills_labels":875,"max_cpc":881,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":861,"slug":862,"logo_url":863},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[865],"Frankfurt am Main",[867],"DE","HYBRID",45000,65000,[872],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[876,877,878,96,879,880],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]