[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-neo4j-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fneo4j":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fneo4j":632,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fneo4j":788},{},{"total":5,"jobs":6},16,[7,90,140,201,234,301,329,356,393,414,438,468,509,535,559,612],{"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":68,"processed_job_expertise_skills_labels":69,"max_cpc":89,"actual_cpc":89},83074,"data-science-and-ai-engineering-lead-vp-f337-deutsche-india-private-limited-pune-branch","Data Science and AI Engineering Lead​, VP",null,false,{"name":14,"slug":15,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[17],"Pune",[19],"IN","hybrid",5000000,8000000,"INR","estimated",[26],"FULL_TIME","permanent",{"adk":29,"gke":29,"sql":30,"java":30,"flask":29,"neo4j":29,"redis":29,"spark":29,"denodo":29,"github":29,"looker":29,"mlflow":29,"python":29,"fastapi":29,"fastmcp":29,"mongodb":29,"pytorch":29,"vs code":29,"bigquery":29,"cloudsql":29,"pinecone":29,"langchain":29,"langgraph":29,"snowflake":29,"databricks":29,"postgresql":29,"tensorflow":29,"claude code":29,"gcp cloudrun":29,"hugging face":29,"scikit-learn":29,"cloud composer":29,"github copilot":29,"google vertexai":29,"jupyter notebook":29,"weights and biases":29},4,3,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67],"Python","FastAPI","Flask","FastMcp","LangGraph","ADK","Google VertexAI","GitHub","VS Code","PyTorch","TensorFlow","scikit-learn","MLflow","Weights and Biases","Jupyter Notebook","Hugging Face","Langchain","Neo4J","GCP CloudRun","GKE","BigQuery","Cloud Composer","CloudSQL","Looker","PostgreSQL","Pinecone","Spark","MongoDB","Redis","Databricks","Denodo","Snowflake","SQL","Java","Claude Code","GitHub Copilot",{"deployment":29,"roi analysis":30,"ai governance":29,"api architecture":29,"data engineering":29,"budget management":30,"people management":29,"ai risk management":29,"feature engineering":29,"ai model integration":29,"ai model optimization":29,"data product creation":29,"performance monitoring":29,"testing and validation":29,"research and innovation":29,"ai solution architecture":29,"cross-functional collaboration":29,"cloud infrastructure management":29,"software development lifecycle (sdlc)":29},[70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88],"AI Solution Architecture","AI Model Integration","AI Model Optimization","API Architecture","Cloud Infrastructure Management","AI Governance","AI Risk Management","Software Development Lifecycle (SDLC)","Data Engineering","Feature Engineering","Data Product Creation","Performance Monitoring","Testing and Validation","Deployment","Research and Innovation","Cross-Functional Collaboration","People Management","Budget Management","ROI Analysis",1,{"id":91,"slug":92,"title":93,"raw_title":11,"is_featured":12,"company":94,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":97,"processed_country_iso_code_gmaps":99,"processed_home_office":20,"processed_salary_min":101,"processed_salary_max":102,"processed_salary_currency":103,"processed_salary_source":24,"processed_working_hours":104,"processed_employment_types":27,"processed_it_skills":105,"processed_it_skills_labels":106,"processed_job_expertise_skills":116,"processed_job_expertise_skills_labels":117,"max_cpc":89,"actual_cpc":89},83786,"senior-staff-ml-engineer-government-employees-insurance-company","Senior Staff ML Engineer",{"name":95,"slug":96,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[98],"Palo Alto",[100],"US",150000,300000,"USD",[26],{"aws":30,"dbt":30,"java":29,"azure":30,"neo4j":30,"redis":30,"spark":30,"python":29,"airflow":30,"mongodb":30,"pytorch":30,"azure ml":30,"sagemaker":30,"snowflake":30,"kubernetes":30,"tensorflow":30,"scikit-learn":30},[32,65,107,108,109,58,59,63,110,60,111,112,113,114,42,41,115],"Airflow","DBT","Kubernetes","Neo4j","AWS","Azure","SageMaker","Azure ML","Scikit-learn",{"rag":30,"fairness":29,"fine-tuning":30,"risk modeling":29,"explainability":29,"llm deployment":30,"bias mitigation":29,"cloud platforms":29,"fraud detection":29,"digital identity":29,"machine learning":29,"model governance":29,"trust and safety":29,"big data technologies":29,"graph neural networks":30,"regulatory compliance":29,"model interpretability":29,"artificial intelligence":29,"aiml lifecycle management":29,"large-scale data pipelines":29,"backend distributed systems":29,"real-time aiml serving architectures":29},[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139],"Machine Learning","Artificial Intelligence","Fraud Detection","Risk Modeling","Trust and Safety","Digital Identity","Large-scale Data Pipelines","Real-time AIML Serving Architectures","AIML Lifecycle Management","Backend Distributed Systems","Big Data Technologies","Cloud Platforms","Model Interpretability","Fairness","Regulatory Compliance","Model Governance","Explainability","Bias Mitigation","LLM Deployment","RAG","Fine-tuning","Graph Neural Networks",{"id":141,"slug":142,"title":143,"raw_title":11,"is_featured":12,"company":144,"raw_hiringOrganization_logo_url":147,"processed_city_gmaps":148,"processed_country_iso_code_gmaps":150,"processed_home_office":20,"processed_salary_min":152,"processed_salary_max":153,"processed_salary_currency":154,"processed_salary_source":155,"processed_working_hours":156,"processed_employment_types":27,"processed_it_skills":157,"processed_it_skills_labels":159,"processed_job_expertise_skills":182,"processed_job_expertise_skills_labels":183,"max_cpc":89,"actual_cpc":89},84459,"staff-software-engineer-ravio-2","Staff Software Engineer",{"name":145,"slug":146,"logo_url":11},"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",[149],"London",[151],"GB",110000,170000,"GBP","original",[26],{"gcp":29,"mcp":30,"jest":158,"auth0":158,"figma":158,"neo4j":158,"react":30,"slack":158,"linear":158,"bifrost":158,"datadog":158,"graphql":29,"mantine":158,"node.js":29,"phoenix":158,"temporal":30,"chromatic":158,"llm evals":30,"storybook":158,"playwright":158,"postgresql":29,"typescript":29,"anthropic sdk":30,"github actions":158},2,[160,161,56,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,110,180,181],"TypeScript","Node.js","GraphQL","GCP","React","Temporal","MCP","Anthropic SDK","LLM evals","Playwright","Jest","Storybook","Chromatic","Mantine","Auth0","GitHub Actions","Datadog","Figma","Slack","Linear","Bifrost","Phoenix",{"code review":29,"design review":29,"observability":29,"system design":29,"data platforms":29,"agentic systems":30,"workflow engines":30,"cost optimization":29,"prompt engineering":30,"developer platforms":30,"distributed systems":29,"platform engineering":29,"software architecture":29,"eval-driven development":30,"performance optimization":29,"durability and consistency":29,"multi-service orchestration":29},[184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200],"System Design","Software Architecture","Distributed Systems","Platform Engineering","Agentic Systems","Workflow Engines","Developer Platforms","Eval-Driven Development","Prompt Engineering","Code Review","Design Review","Observability","Performance Optimization","Cost Optimization","Multi-Service Orchestration","Data Platforms","Durability and Consistency",{"id":202,"slug":203,"title":204,"raw_title":11,"is_featured":12,"company":205,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":208,"processed_country_iso_code_gmaps":210,"processed_home_office":212,"processed_salary_min":102,"processed_salary_max":213,"processed_salary_currency":214,"processed_salary_source":24,"processed_working_hours":215,"processed_employment_types":27,"processed_it_skills":216,"processed_it_skills_labels":217,"processed_job_expertise_skills":222,"processed_job_expertise_skills_labels":223,"max_cpc":89,"actual_cpc":89},69566,"aml-compliance-associate-ciclo-y-analitica-investigations-ciudad-de-mexico-cuauhtemoc-bbva-mexico-sa","AML Compliance Associate Ciclo y Analítica (Investigations) (Ciudad de México, Cuauhtemoc)",{"name":206,"slug":207,"logo_url":11},"BBVA MÉXICO S.A.","bbva-mexico-sa",[209],"Mexiko-Stadt",[211],"MX","onsite",500000,"MXN",[26],{"neo4j":158,"python":158,"maltego":30,"microsoft azure ai":158,"google ai essentials":158,"ibm i2 analyst's notebook":30},[32,110,218,219,220,221],"IBM i2 Analyst's Notebook","Maltego","Microsoft Azure AI","Google AI Essentials",{"graph theory":29,"link analysis":29,"osint analysis":29,"fraud prevention":29,"forensic analysis":29,"financial investigation":29,"corporate deconstruction":29,"anti-money laundering (aml)":29,"forensic narrative and evidentiary documentation":29,"ultimate beneficial ownership (ubo) identification":29},[224,225,226,227,228,229,230,231,232,233],"Link Analysis","Graph Theory","Corporate Deconstruction","Ultimate Beneficial Ownership (UBO) Identification","OSINT Analysis","Anti-Money Laundering (AML)","Fraud Prevention","Forensic Narrative and Evidentiary Documentation","Financial Investigation","Forensic Analysis",{"id":235,"slug":236,"title":237,"raw_title":11,"is_featured":12,"company":238,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":241,"processed_country_iso_code_gmaps":243,"processed_home_office":20,"processed_salary_min":244,"processed_salary_max":245,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":246,"processed_employment_types":27,"processed_it_skills":247,"processed_it_skills_labels":248,"processed_job_expertise_skills":277,"processed_job_expertise_skills_labels":278,"max_cpc":89,"actual_cpc":89},78821,"ind-senior-engineer-data-hartford-global-services-private-limited","IND Senior Engineer, Data",{"name":239,"slug":240,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[242],"Hyderabad",[19],2500000,4000000,[26],{"a2a":29,"aws":29,"mcp":29,"rdf":29,"sql":29,"azure":29,"ci\u002Fcd":29,"neo4j":29,"nosql":29,"spark":29,"aws s3":29,"cypher":29,"docker":29,"python":29,"sparql":29,"aws ec2":29,"mongodb":29,"pytorch":30,"big data":29,"dynamodb":29,"data lake":29,"data mesh":29,"langchain":29,"langgraph":29,"snowflake":29,"aws lambda":29,"kubernetes":29,"tensorflow":30,"aws kinesis":29,"data fabric":29,"apache kafka":29,"document dbs":29,"etl\u002Felt tools":29,"gcp vertex ai":29,"spanner graph":29,"amazon neptune":29,"aws opensearch":29,"graph databases":29,"spark streaming":29,"vector databases":29,"google cloud platform":29},[249,250,251,64,252,63,253,254,255,111,256,112,32,58,257,258,259,260,109,41,42,261,262,263,264,265,110,266,267,59,268,269,270,271,272,36,166,273,274,275,276],"Apache Kafka","AWS Kinesis","Spark Streaming","NoSQL","ETL\u002FELT tools","CI\u002FCD","Big Data","Google Cloud Platform","Data Mesh","Data Lake","Data Fabric","Docker","Vector Databases","Graph Databases","Document DBs","AWS OpenSearch","GCP Vertex AI","Spanner Graph","Amazon Neptune","DynamoDB","AWS Lambda","AWS S3","AWS EC2","LangChain","A2A","Cypher","SPARQL","RDF",{"devops":29,"data lakes":29,"data domains":29,"data lineage":29,"data quality":29,"scaled agile":29,"data products":29,"generative ai":29,"data catalogue":29,"data governance":29,"cloud technology":29,"data engineering":29,"data integration":29,"data warehousing":29,"knowledge graphs":29,"data architecture":29,"semantic modeling":29,"prompt engineering":29,"business intelligence":29,"reliability engineering":29,"synthetic data generation":29,"ai-driven data engineering":29,"insurance domain knowledge":30,"retrieval-augmented generation (rag)":29},[78,279,280,281,282,283,284,285,286,287,288,192,289,290,291,292,293,294,295,296,297,298,299,300],"Data Architecture","Data Warehousing","Data Integration","Data Lakes","Data Domains","Data Products","Business Intelligence","Cloud Technology","Generative AI","Retrieval-Augmented Generation (RAG)","Semantic Modeling","Knowledge Graphs","Synthetic Data Generation","Data Governance","Data Quality","Data Lineage","Data Catalogue","AI-driven Data Engineering","DevOps","Reliability Engineering","Scaled Agile","Insurance Domain Knowledge",{"id":302,"slug":303,"title":304,"raw_title":11,"is_featured":12,"company":305,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":308,"processed_country_iso_code_gmaps":309,"processed_home_office":212,"processed_salary_min":310,"processed_salary_max":311,"processed_salary_currency":103,"processed_salary_source":24,"processed_working_hours":312,"processed_employment_types":27,"processed_it_skills":313,"processed_it_skills_labels":314,"processed_job_expertise_skills":319,"processed_job_expertise_skills_labels":320,"max_cpc":89,"actual_cpc":89},69193,"knowledge-engineer-associated-bank-na","Knowledge Engineer",{"name":306,"slug":307,"logo_url":11},"Associated Bank, NA","associated-bank-na",[],[],92610,158760,[26],{"neo4j":30,"snowflake":30,"data lineage":30,"data modeling":29,"graph databases":29,"metadata management":30,"data governance tools":30,"semantic web standards":29},[110,63,262,315,316,317,294,318],"Semantic Web Standards","Data Modeling","Metadata Management","Data Governance Tools",{"data engineering":30,"data architecture":30,"ai data capabilities":30,"ontology development":29,"taxonomy development":29,"semantic technologies":29,"data quality initiatives":30,"knowledge representation":29,"enterprise data governance":30,"knowledge graph implementation":29},[321,322,323,324,325,326,327,279,78,328],"Semantic Technologies","Knowledge Representation","Ontology Development","Taxonomy Development","Knowledge Graph Implementation","Enterprise Data Governance","Data Quality Initiatives","AI Data Capabilities",{"id":330,"slug":331,"title":332,"raw_title":11,"is_featured":12,"company":333,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":334,"processed_country_iso_code_gmaps":335,"processed_home_office":20,"processed_salary_min":336,"processed_salary_max":21,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":337,"processed_employment_types":27,"processed_it_skills":338,"processed_it_skills_labels":339,"processed_job_expertise_skills":342,"processed_job_expertise_skills_labels":343,"max_cpc":89,"actual_cpc":89},78805,"ind-lead-engineer-data-hartford-global-services-private-limited","IND Lead Engineer, Data",{"name":239,"slug":240,"logo_url":11},[242],[19],3000000,[26],{"a2a":29,"mcp":29,"rdf":29,"sql":29,"ci\u002Fcd":29,"neo4j":29,"nosql":29,"aws s3":29,"cypher":29,"docker":29,"python":29,"sparql":29,"aws ec2":29,"mongodb":29,"pytorch":30,"big data":29,"dynamodb":29,"langchain":29,"langgraph":29,"snowflake":29,"aws lambda":29,"kubernetes":29,"tensorflow":30,"aws kinesis":29,"apache kafka":29,"apache spark":29,"etl\u002Felt tools":29,"gcp vertex ai":29,"spanner graph":29,"amazon neptune":29,"aws opensearch":29,"graph databases":29,"vector databases":29,"cloud technologies (aws\u002Fgcp\u002Fazure)":29},[32,64,252,63,253,254,255,340,341,249,250,260,109,41,42,261,262,110,267,59,268,269,270,271,272,36,166,273,274,275,276,264,265,266],"Cloud Technologies (AWS\u002FGCP\u002FAzure)","Apache Spark",{"ai\u002Fml":29,"devops":29,"alerting":29,"analytics":29,"data mesh":29,"data lakes":29,"monitoring":29,"redundancy":29,"data fabric":29,"data catalog":29,"data domains":29,"data lineage":29,"data quality":29,"scaled agile":29,"data products":29,"generative ai":29,"data governance":29,"fault tolerance":29,"data engineering":29,"data integration":29,"data warehousing":29,"knowledge graphs":29,"agentic solutions":29,"data architecture":29,"disaster recovery":29,"semantic modeling":29,"prompt engineering":29,"incident management":29,"business intelligence":29,"reliability engineering":29,"real-time data streaming":29,"synthetic data generation":29,"insurance domain knowledge":30,"unstructured data processing":29,"retrieval-augmented generation (rag)":29},[78,279,280,281,282,283,284,285,292,293,294,344,287,288,192,289,290,291,345,299,297,298,346,347,348,349,350,351,257,259,352,353,354,355,300],"Data Catalog","Agentic Solutions","Disaster Recovery","Fault Tolerance","Redundancy","Monitoring","Alerting","Incident Management","Unstructured Data Processing","Real-Time Data Streaming","AI\u002FML","Analytics",{"id":357,"slug":358,"title":359,"raw_title":11,"is_featured":12,"company":360,"raw_hiringOrganization_logo_url":363,"processed_city_gmaps":364,"processed_country_iso_code_gmaps":366,"processed_home_office":212,"processed_salary_min":368,"processed_salary_max":368,"processed_salary_currency":369,"processed_salary_source":24,"processed_working_hours":370,"processed_employment_types":371,"processed_it_skills":372,"processed_it_skills_labels":373,"processed_job_expertise_skills":383,"processed_job_expertise_skills_labels":384,"max_cpc":89,"actual_cpc":89},74611,"abschlussarbeiten-in-der-itlvm-beginn-2027-heike-franke","Abschlussarbeiten in der IT@LVM - Beginn 2027",{"name":361,"slug":362,"logo_url":11},"LVM-Versicherung","lvm-versicherung","https:\u002F\u002Fd1m3qravo0uxtt.cloudfront.net\u002Fimage\u002F346054306320\u002Fimage_jcirioducl34982mqb20jru124\u002F-FPNG-S500\u002Flvm_logo.png",[365],"Münster",[367],"DE",16800,"EUR",[26],"student",{"db2":30,"sas":30,"java":30,"kafka":30,"mysql":30,"neo4j":30,"redis":30,"python":30,"spring":30,"angular":30,"teradata":30,"postgresql":30,"springboot":30,"typescript":30,"informatica":30},[65,374,375,160,376,377,56,378,379,110,60,32,380,381,382],"Spring","SpringBoot","Angular","Kafka","MySQL","DB2","SAS","Informatica","Teradata",{"usability":30,"ux design":30,"it security":30,"data warehouse":30,"web development":30,"software development":30,"business intelligence":30,"database architecture":30,"it infrastructure development":30},[385,386,387,388,389,285,390,391,392],"Software Development","Web Development","IT Infrastructure Development","IT Security","Database Architecture","Data Warehouse","UX Design","Usability",{"id":394,"slug":395,"title":396,"raw_title":11,"is_featured":12,"company":397,"raw_hiringOrganization_logo_url":363,"processed_city_gmaps":398,"processed_country_iso_code_gmaps":399,"processed_home_office":212,"processed_salary_min":400,"processed_salary_max":401,"processed_salary_currency":369,"processed_salary_source":24,"processed_working_hours":402,"processed_employment_types":371,"processed_it_skills":403,"processed_it_skills_labels":404,"processed_job_expertise_skills":409,"processed_job_expertise_skills_labels":410,"max_cpc":89,"actual_cpc":89},74682,"hochschulpraktika-in-der-itlvm-beginn-2027-heike-franke","Hochschulpraktika in der IT@LVM - Beginn 2027",{"name":361,"slug":362,"logo_url":11},[365],[367],18000,24000,[26],{"db2":158,"ios":158,"sas":158,"java":158,"z\u002Fos":158,"kafka":158,"mysql":158,"neo4j":158,"redis":158,"python":158,"spring":158,"android":158,"angular":158,"teradata":158,"usability":158,"ux design":158,"postgresql":158,"typescript":158,"informatica":158,"spring boot":158,"machine learning":158},[65,374,405,160,376,406,407,377,56,378,379,110,60,408,118,380,381,382,32,391,392],"Spring Boot","Android","iOS","z\u002FOS",{"it security":158,"data warehouse":158,"internal audit":158,"app development":158,"web development":158,"system development":158,"software development":158,"business intelligence":158,"database architecture":158,"it infrastructure development":158},[385,386,411,387,388,389,412,285,390,413],"App Development","System Development","Internal Audit",{"id":415,"slug":416,"title":417,"raw_title":11,"is_featured":12,"company":418,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":419,"processed_country_iso_code_gmaps":420,"processed_home_office":20,"processed_salary_min":421,"processed_salary_max":422,"processed_salary_currency":103,"processed_salary_source":24,"processed_working_hours":423,"processed_employment_types":27,"processed_it_skills":424,"processed_it_skills_labels":425,"processed_job_expertise_skills":428,"processed_job_expertise_skills_labels":429,"max_cpc":89,"actual_cpc":89},83772,"distinguished-engineer-ai-applications-government-employees-insurance-company-2","Distinguished Engineer, AI Applications",{"name":95,"slug":96,"logo_url":11},[98],[100],210000,350000,[26],{"aws":29,"dbt":29,"java":29,"azure":29,"neo4j":29,"spark":29,"python":29,"airflow":29,"mongodb":29,"azure ml":29,"sagemaker":29,"snowflake":29,"aws bedrock":29,"elasticsearch":29},[32,65,108,107,58,59,426,63,110,111,112,113,114,427],"ElasticSearch","AWS Bedrock",{"fairness":29,"security":29,"explainability":29,"data governance":29,"machine learning":29,"model monitoring":29,"scalable systems":29,"model maintenance":29,"strategic planning":29,"architecture design":29,"real-time ml serving":29,"regulatory compliance":29,"model interpretability":29,"large-scale data pipelines":29,"cross-functional leadership":29},[118,292,430,132,130,131,134,431,432,433,434,435,436,437,124],"Security","Model Monitoring","Model Maintenance","Scalable Systems","Cross-functional Leadership","Strategic Planning","Architecture Design","Real-time ML Serving",{"id":439,"slug":440,"title":441,"raw_title":11,"is_featured":12,"company":442,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":445,"processed_country_iso_code_gmaps":447,"processed_home_office":212,"processed_salary_min":449,"processed_salary_max":450,"processed_salary_currency":451,"processed_salary_source":24,"processed_working_hours":452,"processed_employment_types":27,"processed_it_skills":453,"processed_it_skills_labels":454,"processed_job_expertise_skills":460,"processed_job_expertise_skills_labels":461,"max_cpc":89,"actual_cpc":89},66814,"principal-platform-engineer-the-toronto-dominion-bank-canada","Principal Platform Engineer",{"name":443,"slug":444,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[446],"Toronto",[448],"CA",165000,200000,"CAD",[26],{"sql":29,"java":29,"llms":30,"mtls":29,"oidc":29,"rest":29,"azure":29,"neo4j":30,"nosql":29,"oauth2":29,"python":30,"graphql":29,"mongodb":30,"kubernetes":29,"generative ai":30},[65,32,109,112,455,162,64,252,59,49,456,457,458,287,459],"REST","OAuth2","mTLS","OIDC","LLMs",{"data modeling":29,"cash management":158,"api architecture":29,"distributed systems":29,"transaction banking":158,"platform engineering":29,"technical leadership":29,"graph-based data models":29,"event-driven integration":29,"cloud-native application delivery":29},[187,73,462,316,463,186,464,465,466,467],"Event-Driven Integration","Graph-Based Data Models","Cloud-Native Application Delivery","Technical Leadership","Cash Management","Transaction Banking",{"id":469,"slug":470,"title":471,"raw_title":11,"is_featured":12,"company":472,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":473,"processed_country_iso_code_gmaps":474,"processed_home_office":212,"processed_salary_min":449,"processed_salary_max":450,"processed_salary_currency":451,"processed_salary_source":24,"processed_working_hours":475,"processed_employment_types":27,"processed_it_skills":476,"processed_it_skills_labels":477,"processed_job_expertise_skills":491,"processed_job_expertise_skills_labels":492,"max_cpc":89,"actual_cpc":89},66714,"principal-engineer-gtb-data-and-platforms-the-toronto-dominion-bank-canada","Principal Engineer - GTB Data and Platforms",{"name":443,"slug":444,"logo_url":11},[446],[448],[26],{"mq":29,"ecs":29,"sql":29,"java":29,"llms":30,"ci\u002Fcd":29,"genai":30,"kafka":29,"neo4j":29,"nosql":29,"kibana":29,"oracle":29,"python":29,"solace":29,"splunk":29,"datadog":29,"graphql":29,"mongodb":29,"confluent":29,"dynatrace":29,"openshift":29,"databricks":29,"kubernetes":29,"spring boot":29,"apache flink":29,"apache spark":29,"restful apis":29,"microsoft azure":29},[65,32,478,162,405,64,479,252,59,49,341,61,377,480,481,482,483,109,484,485,254,486,487,488,176,489,490,459],"RESTful APIs","Oracle","Solace","MQ","Confluent","Apache Flink","OpenShift","ECS","Splunk","Kibana","Dynatrace","Microsoft Azure","GenAI",{"scrum":29,"data modeling":29,"system design":29,"devops practices":29,"stream processing":29,"big data platforms":29,"agile methodologies":29,"architecture design":29,"distributed systems":29,"platform resilience":29,"graph-based data models":29,"multi-cloud environments":29,"technical debt management":29,"event-driven architectures":29,"non-functional requirements":29,"cash management\u002Ftransaction banking":30},[493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508],"Data modeling","Graph-based data models","Big data platforms","Event-driven architectures","Stream processing","Distributed systems","System design","Non-functional requirements","Technical debt management","Platform resilience","Architecture design","Agile methodologies","Scrum","DevOps practices","Multi-cloud environments","Cash Management\u002FTransaction Banking",{"id":510,"slug":511,"title":512,"raw_title":11,"is_featured":12,"company":513,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":514,"processed_country_iso_code_gmaps":515,"processed_home_office":212,"processed_salary_min":516,"processed_salary_max":517,"processed_salary_currency":451,"processed_salary_source":24,"processed_working_hours":518,"processed_employment_types":27,"processed_it_skills":519,"processed_it_skills_labels":520,"processed_job_expertise_skills":522,"processed_job_expertise_skills_labels":523,"max_cpc":89,"actual_cpc":89},66748,"data-architect-the-toronto-dominion-bank-canada","Data Architect",{"name":443,"slug":444,"logo_url":11},[446],[448],125500,148000,[26],{"sql":30,"kafka":29,"neo4j":158,"python":30,"mongodb":158,"confluent":29,"databricks":29,"delta lake":29,"apache flink":30,"apache spark":29,"microsoft azure":29},[341,61,521,377,482,483,489,64,32,49,59],"Delta Lake",{"data mesh":30,"devsecops":29,"data lineage":29,"data quality":29,"data modeling":29,"model serving":30,"feature stores":30,"data governance":29,"llm integration":30,"vector databases":30,"data architecture":29,"metadata management":29,"regulatory reporting":30,"ai\u002Fml platform patterns":30,"enterprise architecture":29,"ci\u002Fcd for data pipelines":29,"event-driven architecture":29,"real-time data processing":29,"cloud-native data platform delivery":29},[279,316,292,294,317,293,257,524,525,526,527,528,529,261,530,531,532,533,534],"Event-Driven Architecture","Real-Time Data Processing","Regulatory Reporting","AI\u002FML Platform Patterns","Feature Stores","Model Serving","LLM Integration","DevSecOps","CI\u002FCD for Data Pipelines","Enterprise Architecture","Cloud-Native Data Platform Delivery",{"id":536,"slug":537,"title":538,"raw_title":11,"is_featured":12,"company":539,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":540,"processed_country_iso_code_gmaps":541,"processed_home_office":212,"processed_salary_min":449,"processed_salary_max":450,"processed_salary_currency":451,"processed_salary_source":24,"processed_working_hours":542,"processed_employment_types":27,"processed_it_skills":543,"processed_it_skills_labels":544,"processed_job_expertise_skills":545,"processed_job_expertise_skills_labels":546,"max_cpc":89,"actual_cpc":89},66755,"director-data-platform-engineering-the-toronto-dominion-bank-canada","Director, Data Platform Engineering",{"name":443,"slug":444,"logo_url":11},[446],[448],[26],{"java":30,"llms":30,"rest":30,"ci\u002Fcd":29,"kafka":30,"neo4j":158,"python":30,"solace":30,"splunk":158,"datadog":158,"graphql":30,"mongodb":158,"confluent":30,"devsecops":29,"dynatrace":158,"openshift":158,"databricks":29,"delta lake":29,"kubernetes":30,"apache flink":30,"apache spark":29,"generative ai":30,"microsoft azure":29},[61,341,521,65,32,455,162,109,489,377,482,480,483,49,59,486,488,176,484,254,531,287,459],{"data lineage":29,"data quality":29,"microservices":30,"data governance":29,"risk management":29,"data engineering":29,"budget management":29,"vendor management":29,"financial services":30,"project management":29,"workforce planning":29,"agile methodologies":30,"distributed systems":29,"metadata management":29,"transaction banking":30,"regulatory reporting":30,"succession management":29,"performance management":29,"cloud-native architecture":29,"data lifecycle management":29,"event-driven architecture":29,"data platform architecture":29},[547,78,186,548,549,524,292,317,294,293,550,87,551,552,553,554,555,556,557,558,467,526],"Data Platform Architecture","Cloud-Native Architecture","Microservices","Data Lifecycle Management","Vendor Management","Workforce Planning","Succession Management","Performance Management","Risk Management","Project Management","Agile Methodologies","Financial Services",{"id":560,"slug":561,"title":562,"raw_title":11,"is_featured":12,"company":563,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":567,"processed_country_iso_code_gmaps":569,"processed_home_office":212,"processed_salary_min":571,"processed_salary_max":572,"processed_salary_currency":369,"processed_salary_source":24,"processed_working_hours":573,"processed_employment_types":27,"processed_it_skills":574,"processed_it_skills_labels":575,"processed_job_expertise_skills":602,"processed_job_expertise_skills_labels":603,"max_cpc":89,"actual_cpc":89},44460,"senior-data-pipeline-developer-apex-fund-services-bulgaria-eood-eur","Senior Data Pipeline Developer",{"name":564,"slug":565,"logo_url":566},"Apex Fund Services (Bulgaria) EOOD","apex-fund-services-bulgaria-eood","https:\u002F\u002Fwww.apexgroup.com\u002Fmedia\u002Fl05krqrh\u002Fapex-logo.svg",[568],"Sofia",[570],"BG",60000,90000,[26],{"sql":29,"java":30,"mode":158,"ssas":158,"ssis":158,"ssrs":158,"kafka":158,"neo4j":89,"scala":30,"python":29,"stitch":158,"camunda":158,"aws glue":30,"fivetran":158,"power bi":30,"rabbitmq":158,"azure asq":158,"snowflake":30,"aws lambda":30,"quicksight":158,"sql server":30,"aws neptune":89,"aws redshift":30,"aws sns & sqs":158,"azure synapse":30,"api management":158,"azure cosmos db":89,"azure data lake":30,"azure functions":30,"azure logic apps":158,"aws lake formation":30,"aws step functions":158,"azure data factory":30},[64,32,576,65,577,578,579,580,581,582,583,584,63,585,586,377,587,588,589,590,269,591,592,593,594,595,596,597,598,599,600,110,601],"Scala","AWS Glue","Azure Data Factory","Fivetran","Stitch","AWS Lake Formation","Azure Data Lake","AWS Redshift","Azure Synapse","AWS SNS & SQS","Azure ASQ","RabbitMQ","AWS Step Functions","Azure Logic Apps","Camunda","Azure Functions","SQL Server","SSIS","SSAS","SSRS","Power BI","QuickSight","Mode","AWS Neptune","Azure Cosmos DB","API Management",{"etl\u002Felt":29,"data models":29,"data modelling":29,"data pipelines":29,"api development":30,"data integration":29,"data preparation":29,"data warehousing":29,"analytical and reporting marts":29,"agile software development lifecycle":30},[280,604,605,606,281,607,608,609,610,611],"Data Modelling","ETL\u002FELT","Data Pipelines","Data Preparation","Data Models","Analytical and Reporting Marts","Agile Software Development Lifecycle","API Development",{"id":613,"slug":614,"title":615,"raw_title":11,"is_featured":12,"company":616,"raw_hiringOrganization_logo_url":147,"processed_city_gmaps":617,"processed_country_iso_code_gmaps":618,"processed_home_office":20,"processed_salary_min":152,"processed_salary_max":101,"processed_salary_currency":154,"processed_salary_source":155,"processed_working_hours":619,"processed_employment_types":27,"processed_it_skills":620,"processed_it_skills_labels":621,"processed_job_expertise_skills":627,"processed_job_expertise_skills_labels":628,"max_cpc":89,"actual_cpc":631},43011,"lead-software-engineer-ravio-2","Lead Software Engineer",{"name":145,"slug":146,"logo_url":11},[149],[151],[26],{"gcp":29,"mcp":30,"jest":30,"auth0":30,"figma":158,"neo4j":158,"react":30,"slack":158,"linear":158,"bedrock":158,"bifrost":158,"datadog":30,"foundry":158,"graphql":29,"mantine":158,"node.js":29,"phoenix":158,"temporal":30,"chromatic":158,"storybook":158,"vertex ai":158,"playwright":30,"postgresql":29,"typescript":29,"graphql yoga":30,"apollo client":30,"github actions":30},[160,161,56,162,164,169,170,171,172,173,163,174,165,166,110,175,176,177,178,179,622,623,624,625,626,180,181],"Apollo Client","GraphQL Yoga","Vertex AI","Bedrock","Foundry",{"llm evals":30,"observability":29,"agentic systems":30,"workflow engines":30,"prompt engineering":30,"distributed systems":29,"performance at scale":29,"platform engineering":29,"eval-driven development":30},[188,189,629,192,191,187,186,195,630],"LLM Evals","Performance at Scale",0.5,{"industry":633,"employment_type":658,"expertise_skills":664,"it_skills":716,"salary_currency":779,"processed_working_hours":786},[634,638,641,643,646,649,652,655],{"key":635,"label":636,"count":637},"insurance","Insurance",6,{"key":639,"label":640,"count":637},"banking","Banking",{"key":642,"label":558,"count":637},"financial services",{"key":644,"label":645,"count":158},"compensation","Compensation",{"key":647,"label":648,"count":89},"fund administration","Fund Administration",{"key":650,"label":651,"count":89},"middle office","Middle Office",{"key":653,"label":654,"count":89},"tools","Tools",{"key":656,"label":657,"count":89},"software","Software",[659,662],{"key":27,"label":660,"count":661},"PERMANENT",14,{"key":371,"label":663,"count":158},"STUDENT",[665,668,670,672,674,676,678,680,682,684,686,688,690,692,695,697,699,701,703,705,707,709,711,714],{"key":666,"label":186,"slug":666,"count":667},"distributed-systems",5,{"key":669,"label":292,"slug":669,"count":667},"data-governance",{"key":671,"label":78,"slug":671,"count":667},"data-engineering",{"key":673,"label":279,"slug":673,"count":29},"data-architecture",{"key":675,"label":293,"slug":675,"count":29},"data-quality",{"key":677,"label":285,"slug":677,"count":29},"business-intelligence",{"key":679,"label":294,"slug":679,"count":29},"data-lineage",{"key":681,"label":192,"slug":681,"count":29},"prompt-engineering",{"key":683,"label":280,"slug":683,"count":30},"data-warehousing",{"key":685,"label":316,"slug":685,"count":30},"data-modeling",{"key":687,"label":281,"slug":687,"count":30},"data-integration",{"key":689,"label":187,"slug":689,"count":30},"platform-engineering",{"key":691,"label":386,"slug":691,"count":158},"web-development",{"key":693,"label":694,"slug":693,"count":158},"api-architecture","Api Architecture",{"key":696,"label":385,"slug":696,"count":158},"software-development",{"key":698,"label":283,"slug":698,"count":158},"data-domains",{"key":700,"label":284,"slug":700,"count":158},"data-products",{"key":702,"label":524,"slug":702,"count":158},"event-driven-architecture",{"key":704,"label":132,"slug":704,"count":158},"regulatory-compliance",{"key":706,"label":131,"slug":706,"count":158},"fairness",{"key":708,"label":467,"slug":708,"count":158},"transaction-banking",{"key":710,"label":191,"slug":710,"count":158},"eval-driven-development",{"key":712,"label":713,"slug":712,"count":158},"generative-ai","Generative Ai",{"key":715,"label":289,"slug":715,"count":158},"semantic-modeling",[717,719,722,726,728,731,733,736,738,740,743,746,749,751,754,757,759,761,764,767,769,771,774,777],{"key":718,"label":49,"slug":718,"count":5},"neo4j",{"key":720,"label":32,"slug":720,"count":721},"python",13,{"key":723,"label":724,"slug":723,"count":725},"mongodb","Mongodb",9,{"key":727,"label":65,"slug":727,"count":725},"java",{"key":729,"label":64,"slug":729,"count":730},"sql",7,{"key":732,"label":63,"slug":732,"count":730},"snowflake",{"key":734,"label":735,"slug":734,"count":730},"ms-azure","MS Azure",{"key":737,"label":109,"slug":737,"count":637},"kubernetes",{"key":739,"label":377,"slug":739,"count":637},"kafka",{"key":741,"label":742,"slug":741,"count":667},"graphql","Graphql",{"key":744,"label":745,"slug":744,"count":667},"postgresql","Postgresql",{"key":747,"label":748,"slug":747,"count":29},"mcp","Mcp",{"key":750,"label":176,"slug":750,"count":29},"datadog",{"key":752,"label":753,"slug":752,"count":29},"tensorflow","Tensorflow",{"key":755,"label":756,"slug":755,"count":29},"typescript","Typescript",{"key":758,"label":60,"slug":758,"count":29},"redis",{"key":760,"label":61,"slug":760,"count":29},"databricks",{"key":762,"label":763,"slug":762,"count":29},"nosql","Nosql",{"key":765,"label":766,"slug":765,"count":29},"pytorch","Pytorch",{"key":768,"label":341,"slug":768,"count":29},"apache-spark",{"key":770,"label":58,"slug":770,"count":29},"spark",{"key":772,"label":773,"slug":772,"count":29},"cicd","Ci\u002FCd",{"key":775,"label":776,"slug":775,"count":30},"aws","Aws",{"key":778,"label":48,"slug":778,"count":30},"langchain",[780,781,782,783,784,785],{"key":451,"label":451,"count":29},{"key":369,"label":369,"count":30},{"key":23,"label":23,"count":30},{"key":103,"label":103,"count":30},{"key":154,"label":154,"count":158},{"key":214,"label":214,"count":89},[787],{"key":26,"label":26,"count":5},{"total":89,"jobs":789},[790],{"id":791,"slug":792,"title":793,"raw_title":11,"is_featured":794,"company":795,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":799,"processed_country_iso_code_gmaps":801,"processed_home_office":802,"processed_salary_min":803,"processed_salary_max":804,"processed_salary_currency":369,"processed_salary_source":11,"processed_working_hours":805,"processed_employment_types":660,"processed_it_skills":807,"processed_it_skills_labels":11,"processed_job_expertise_skills":808,"processed_job_expertise_skills_labels":809,"max_cpc":815,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":796,"slug":797,"logo_url":798},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[800],"Frankfurt am Main",[367],"HYBRID",45000,65000,[806],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[810,811,812,132,813,814],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]