[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-sql-sg":3,"job-search-\u002Fde-sg\u002Fjobs-by-skill\u002Fsql?page=3":33,"skill-page-filters-\u002Fde-sg\u002Fjobs-by-skill\u002Fsql?page=3":626,"featured-jobs-\u002Fde-sg\u002Fjobs-by-skill\u002Fsql?page=3":804},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fsql.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","SQL (Structured Query Language) ist eine fundamentale Fähigkeit in der Finanzbranche [Singapurs](\u002Fsearch), insbesondere für die effiziente Datenverwaltung und Analyse. In einem globalen Finanzzentrum wie [Singapur](\u002Fsearch) ermöglicht SQL Fachleuten, große Datenmengen zu verarbeiten, was für [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) und verwandte Bereiche unerlässlich ist. Es unterstützt kritische Prozesse wie Cash- und [Liquiditätsmanagement](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management), [Collateral Margining](\u002Fjobs-by-expertise\u002Fcollateral-margining) und die Abwicklung von Finanzprodukten, indem es präzise Abfragen und Berichterstellung ermöglicht. Die Beherrschung von SQL verbessert die Entscheidungsfindung durch datengestützte Einblicke und trägt zur Einhaltung regulatorischer Anforderungen bei, was in Singapurs streng reguliertem Finanzumfeld von größter Bedeutung ist.",{"title":10,"content":11},"Top-Branchen & Standorte","In [Singapur](\u002Fsearch) ist SQL besonders gefragt in Branchen wie [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management), [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services). Top-Standorte für SQL-Jobs umfassen das gesamte [Singapur](\u002Fsearch), mit Schwerpunkten in Finanzdistrikten und Technologiezentren. Diese Branchen nutzen SQL für Datenanalyse, Risikomanagement und operative Effizienz, was es zu einer Schlüsselkompetenz für Fachkräfte in der dynamischen Wirtschaft Singapurs macht.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Top-Unternehmen wie [PIMCO Asia Pte Ltd](\u002Fcompany\u002Fpimco-asia-pte-ltd) in [Singapur](\u002Fsearch) suchen nach SQL-Experten, die mit verwandten Fachgebieten wie [Cash- und Liquiditätsmanagement](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management), [Collateral Margining](\u002Fjobs-by-expertise\u002Fcollateral-margining), [Asset Setup](\u002Fjobs-by-expertise\u002Fasset-setup), Derivatives Bestätigung, Handelsabwicklung und Finanzproduktverarbeitung vertraut sind. Diese Expertise ist entscheidend für die Unterstützung von Investment- und Handelsaktivitäten in Singapurs wettbewerbsintensivem Markt.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege für SQL in [Singapur](\u002Fsearch) umfassen Rollen wie Datenanalyst, Datenbankadministrator oder Finanzanalyst, mit Möglichkeiten für Fortschritte in leitenden Positionen. Um SQL zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Erfahrung mit Tools wie [Excel](\u002Fjobs-by-skill\u002Fexcel), [Python](\u002Fjobs-by-skill\u002Fpython), [Bloomberg Trade Order Management System](\u002Fjobs-by-skill\u002Fbloomberg-trade-order-management-system), DTCC DS Match und MarkitWire. Die Kombination mit verwandten IT-Fähigkeiten und Fachgebieten wie [Cash- und Liquiditätsmanagement](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management) verbessert die Beschäftigungsfähigkeit in Singapurs Finanzsektor erheblich.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","SQL (Structured Query Language) holds immense strategic importance in [Singapore](\u002Fsearch), particularly within the financial sector, as it is the backbone for managing and analyzing vast datasets critical for [investment management](\u002Fjobs-by-industry\u002Finvestment-management). In [Singapore](\u002Fsearch)'s dynamic economy, SQL enables professionals to efficiently query databases, support [cash and liquidity management](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management), and enhance [collateral margining](\u002Fjobs-by-expertise\u002Fcollateral-margining) processes. Its relevance is amplified by the city-state's role as a global financial hub, where data-driven decision-making is paramount for firms like [PIMCO Asia Pte Ltd](\u002Fcompany\u002Fpimco-asia-pte-ltd) to optimize [asset setup](\u002Fjobs-by-expertise\u002Fasset-setup) and ensure compliance. Mastering SQL not only boosts operational efficiency but also drives innovation in [financial products processing](\u002Fjobs-by-expertise\u002Ffinancial-products-processing), making it an indispensable skill for sustaining [Singapore](\u002Fsearch)'s competitive edge in finance.",{"title":23,"content":24},"Top Industries & Locations","In [Singapore](\u002Fsearch), SQL is highly sought after in key industries such as [investment management](\u002Fjobs-by-industry\u002Finvestment-management), where it supports data analysis for portfolio optimization and risk assessment. Top locations driving demand include the central business district, known for its concentration of financial institutions, and areas like Marina Bay, which host major firms leveraging SQL for [trade settlement](\u002Fjobs-by-expertise\u002Ftrade-settlement) and [derivatives confirmation](\u002Fjobs-by-expertise\u002Fderivatives-confirmation). Additionally, sectors like [banking](\u002Fjobs-by-industry\u002Fbanking) and [fintech](\u002Fjobs-by-industry\u002Ffintech) in [Singapore](\u002Fsearch) rely on SQL for database management, enhancing services in [cash and liquidity management](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management). This skill is crucial in hubs across [Singapore](\u002Fsearch), facilitating efficient data handling and supporting the city's status as a leading financial center.",{"title":26,"content":27},"In-Demand Skills & Employers","Employers in [Singapore](\u002Fsearch), such as [PIMCO Asia Pte Ltd](\u002Fcompany\u002Fpimco-asia-pte-ltd), highly value SQL for roles involving [cash and liquidity management](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management), [collateral margining](\u002Fjobs-by-expertise\u002Fcollateral-margining), and [asset setup](\u002Fjobs-by-expertise\u002Fasset-setup). SQL proficiency is often paired with expertise in [derivatives confirmation](\u002Fjobs-by-expertise\u002Fderivatives-confirmation) and [trade settlement](\u002Fjobs-by-expertise\u002Ftrade-settlement), making it essential for professionals in [investment management](\u002Fjobs-by-industry\u002Finvestment-management). Top companies seek individuals who can integrate SQL with tools like [Bloomberg Trade Order Management System](\u002Fjobs-by-skill\u002Fbloomberg-trade-order-management-system) to streamline [financial products processing](\u002Fjobs-by-expertise\u002Ffinancial-products-processing). This combination ensures efficient data retrieval and analysis, supporting [Singapore](\u002Fsearch)'s financial firms in maintaining robust operational frameworks and competitive advantages.",{"title":29,"content":30},"Career & Development","A career in SQL within [Singapore](\u002Fsearch) offers diverse paths, from database administration to financial analysis, with opportunities for growth in [investment management](\u002Fjobs-by-industry\u002Finvestment-management). To develop this skill, pursue certifications like Microsoft SQL Server or Oracle Database, and gain hands-on experience through projects involving [cash and liquidity management](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management) or [collateral margining](\u002Fjobs-by-expertise\u002Fcollateral-margining). Complement SQL with related IT skills such as [Python](\u002Fjobs-by-skill\u002Fpython) for advanced data manipulation and [Excel](\u002Fjobs-by-skill\u002Fexcel) for reporting. Engaging with [derivatives confirmation](\u002Fjobs-by-expertise\u002Fderivatives-confirmation) and [trade settlement](\u002Fjobs-by-expertise\u002Ftrade-settlement) processes can further enhance expertise, positioning professionals for roles in top firms like [PIMCO Asia Pte Ltd](\u002Fcompany\u002Fpimco-asia-pte-ltd) and driving career advancement in [Singapore](\u002Fsearch)'s vibrant financial sector.","skill:sql:sg","2026-08-17T09:01:39.917478+02:00",{"total":34,"jobs":35},103,[36,76,110,146,175,210,245,298,339,369,396,413,445,465,495,515,531,556,571,592],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":59,"processed_job_expertise_skills":64,"processed_job_expertise_skills_labels":66,"max_cpc":75,"actual_cpc":75},88836,"vice-president-credit-risk-analyst-group-retail-united-overseas-bank-ltd","Vice President, Credit Risk Analyst_ Group Retail",null,false,{"name":43,"slug":44,"logo_url":40},"United Overseas Bank 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Databases",{"id":111,"slug":112,"title":113,"raw_title":40,"is_featured":41,"company":114,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":117,"processed_country_iso_code_gmaps":118,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":119,"processed_employment_types":56,"processed_it_skills":120,"processed_it_skills_labels":121,"processed_job_expertise_skills":135,"processed_job_expertise_skills_labels":136,"max_cpc":75,"actual_cpc":75},76430,"avp-data-engineer-information-security-digital-risk-management-ocbc-bank","AVP, Data Engineer (Information Security & Digital Risk Management)",{"name":115,"slug":116,"logo_url":40},"OCBC Bank","ocbc-bank",[],[48],[55],{"dbt":58,"sql":65,"hdfs":58,"hive":58,"hbase":58,"kafka":65,"scala":58,"spark":65,"hadoop":65,"impala":58,"oracle":58,"pl\u002Fsql":58,"python":65,"talend":65,"teradata":58},[61,62,122,123,124,125,126,127,128,129,130,131,132,133,134],"Spark","Hadoop","Hive","Impala","HDFS","Scala","HBase","Kafka","Talend","DBT","Teradata","Oracle","PL\u002FSQL",{"data modeling":65,"data governance":58,"risk management":58,"data engineering":65,"data warehousing":65,"project management":58,"regulatory compliance":58,"data security controls":58,"etl\u002Felt pipeline development":65},[137,138,139,140,141,142,143,144,145],"Data Engineering","ETL\u002FELT Pipeline Development","Data Warehousing","Data Modeling","Risk Management","Project Management","Data Security Controls","Data Governance","Regulatory Compliance",{"id":147,"slug":148,"title":149,"raw_title":40,"is_featured":41,"company":150,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":151,"processed_country_iso_code_gmaps":152,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":153,"processed_employment_types":56,"processed_it_skills":154,"processed_it_skills_labels":155,"processed_job_expertise_skills":160,"processed_job_expertise_skills_labels":162,"max_cpc":75,"actual_cpc":75},76431,"avp-business-analyst-legal-compliance-ocbc-bank","AVP, Business Analyst (Legal & Compliance)",{"name":115,"slug":116,"logo_url":40},[],[48],[55],{"sql":58,"python":58,"sas-fms":58,"oracle fccm":58,"sai netreveal":58,"data analysis tools":58},[156,157,158,61,62,159],"SAI NetReveal","Oracle FCCM","SAS-FMS","Data Analysis Tools",{"sdlc":65,"anti-fraud":65,"agile\u002Fscrum":65,"data science":161,"risk scoring":65,"data analysis":65,"machine learning":161,"business analysis":65,"process modelling":65,"project management":58,"requirements gathering":65,"transaction monitoring":65,"kyc (know your customer)":65,"customer due diligence (cdd)":65,"fcc (financial crime compliance)":65},2,[163,164,165,166,167,168,169,170,171,172,173,174,142,96,95],"Business Analysis","Requirements Gathering","Process Modelling","Data Analysis","FCC (Financial Crime Compliance)","KYC (Know Your Customer)","Anti-Fraud","Transaction Monitoring","Customer Due Diligence (CDD)","Risk Scoring","Agile\u002FScrum","SDLC",{"id":176,"slug":177,"title":178,"raw_title":40,"is_featured":41,"company":179,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":180,"processed_country_iso_code_gmaps":181,"processed_home_office":49,"processed_salary_min":182,"processed_salary_max":183,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":184,"processed_employment_types":56,"processed_it_skills":185,"processed_it_skills_labels":186,"processed_job_expertise_skills":191,"processed_job_expertise_skills_labels":192,"max_cpc":75,"actual_cpc":75},76451,"global-markets-nextgen-solutions-team-lead-vp-ocbc-bank","Global Markets NextGen Solutions Team lead - VP",{"name":115,"slug":116,"logo_url":40},[],[48],150000,250000,[55],{"sql":58,"excel":58,"python":58,"ai tools":58,"agentic workflows":58,"data visualization software":58},[62,61,187,188,189,190],"Excel","Data Visualization Software","AI Tools","Agentic Workflows",{"fis":58,"finiq":58,"murex":65,"numerix":58,"e-channels":58,"markitwire":58,"ai adoption":58,"data quality":65,"data governance":65,"risk management":65,"cloud initiatives":58,"vendor management":58,"workflow automation":65,"technology governance":65,"digital transformation":65,"financial markets knowledge":65,"trade operational workflows":65,"strategic technology planning":65,"straight-through processing (stp)":65},[193,194,195,196,197,198,199,200,201,144,202,141,203,204,205,206,207,208,209],"Financial Markets Knowledge","Trade Operational Workflows","Murex","FiniQ","Numerix","MarkitWire","FIS","E-channels","Technology Governance","Data Quality","Straight-Through Processing (STP)","Workflow Automation","Digital Transformation","Strategic Technology Planning","Vendor Management","Cloud Initiatives","AI Adoption",{"id":211,"slug":212,"title":213,"raw_title":40,"is_featured":41,"company":214,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":217,"processed_country_iso_code_gmaps":218,"processed_home_office":49,"processed_salary_min":219,"processed_salary_max":182,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":220,"processed_employment_types":56,"processed_it_skills":221,"processed_it_skills_labels":222,"processed_job_expertise_skills":237,"processed_job_expertise_skills_labels":238,"max_cpc":75,"actual_cpc":75},79227,"avp-data-engineer-uob-asset-management-business-technology-uob-asset-management-ltd-2","AVP, Data Engineer, UOB Asset Management - Business Technology",{"name":215,"slug":216,"logo_url":40},"UOB Asset Management Ltd","uob-asset-management-ltd",[],[48],90000,[55],{"aws":58,"c++":161,"gcp":58,"git":58,"sql":65,"java":161,"ci\u002Fcd":58,"kafka":58,"mlops":58,"scala":161,"looker":58,"python":65,"dataops":58,"etl\u002Felt":65,"tableau":58,"aws glue":58,"bigquery":58,"power bi":58,"azure purview":58,"google cloud data catalog":58},[62,61,223,127,224,91,92,225,226,227,228,229,129,230,231,232,233,234,235,236],"Java","C++","Looker","AWS Glue","Azure Purview","Google Cloud Data Catalog","BigQuery","GCP","AWS","Git","CI\u002FCD","ETL\u002FELT","DataOps","MLOps",{"data governance":58,"data engineering":65,"data warehousing":65,"cloud data platforms":58,"business intelligence":65,"regulatory compliance":58,"data quality management":65,"data pipeline development":65,"machine learning engineering":65,"software development best practices":58},[137,239,240,144,139,241,242,243,145,244],"Business Intelligence","Machine Learning Engineering","Data Pipeline Development","Data Quality Management","Cloud Data Platforms","Software Development Best Practices",{"id":246,"slug":247,"title":248,"raw_title":40,"is_featured":41,"company":249,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":250,"processed_country_iso_code_gmaps":251,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":252,"processed_employment_types":56,"processed_it_skills":253,"processed_it_skills_labels":254,"processed_job_expertise_skills":274,"processed_job_expertise_skills_labels":275,"max_cpc":75,"actual_cpc":75},76528,"senior-ai-engineer-ocbc-bank","Senior AI Engineer",{"name":115,"slug":116,"logo_url":40},[],[48],[55],{"aws":58,"gcp":58,"git":58,"ray":58,"sql":58,"fsdp":58,"java":65,"ci\u002Fcd":58,"kafka":58,"mlops":58,"nosql":58,"numpy":58,"docker":58,"mlflow":58,"pandas":58,"python":65,"autogen":58,"pytorch":58,"azure ml":58,"kubeflow":58,"deepspeed":58,"langchain":58,"kubernetes":58,"tensorflow":58,"spring boot":58,"restful apis":58,"scikit-learn":58,"microservices":65,"pytorch distributed":58},[62,223,88,255,256,257,258,259,260,231,230,261,129,262,263,61,264,232,265,233,236,266,267,268,269,270,271,272,273],"PyTorch","pandas","NumPy","scikit-learn","Spring Boot","Microservices","Azure ML","Docker","Kubernetes","NoSQL","RESTful APIs","LangChain","AutoGen","MLflow","Kubeflow","Ray","FSDP","DeepSpeed","PyTorch Distributed",{"edge ai":58,"agentic ai":58,"lora\u002Fqlora":58,"deep learning":58,"peft pipelines":58,"computer vision":58,"machine learning":65,"model deployment":58,"model monitoring":58,"model versioning":58,"vector databases":58,"agile development":58,"federated learning":58,"prompt engineering":58,"distributed systems":58,"multi-agent systems":58,"distributed training":58,"predictive analytics":58,"recommendation systems":58,"transformer architectures":58,"event-driven architectures":58,"natural language processing":58,"large language models (llms)":58,"retrieval-augmented generation (rag)":58},[96,276,277,278,107,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297],"Agentic AI","Multi-agent systems","Deep Learning","Computer Vision","Recommendation Systems","Predictive Analytics","Distributed Systems","Event-driven architectures","Model deployment","Model monitoring","Model versioning","Agile development","Transformer architectures","Large Language Models (LLMs)","Vector databases","Retrieval-augmented generation (RAG)","Federated learning","Edge AI","Distributed training","LoRA\u002FQLoRA","PEFT pipelines","Prompt engineering",{"id":299,"slug":300,"title":301,"raw_title":40,"is_featured":41,"company":302,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":303,"processed_country_iso_code_gmaps":304,"processed_home_office":49,"processed_salary_min":219,"processed_salary_max":182,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":305,"processed_employment_types":56,"processed_it_skills":306,"processed_it_skills_labels":307,"processed_job_expertise_skills":328,"processed_job_expertise_skills_labels":329,"max_cpc":75,"actual_cpc":75},76547,"data-engineer-avp-ocbc-bank","Data Engineer (AVP)",{"name":115,"slug":116,"logo_url":40},[],[48],[55],{"aws":58,"etl":65,"ga4":58,"gcp":58,"llm":58,"rag":58,"sql":65,"java":58,"ci\u002Fcd":58,"flask":58,"flink":58,"kafka":58,"redis":58,"spark":65,"docker":58,"python":65,"airflow":65,"pub\u002Fsub":58,"bigquery":58,"cloudera":58,"debezium":58,"fivetran":58,"redshift":58,"confluent":58,"mapreduce":58,"rest 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Knowledge",{"id":340,"slug":341,"title":342,"raw_title":40,"is_featured":41,"company":343,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":346,"processed_country_iso_code_gmaps":347,"processed_home_office":49,"processed_salary_min":182,"processed_salary_max":183,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":348,"processed_employment_types":56,"processed_it_skills":349,"processed_it_skills_labels":350,"processed_job_expertise_skills":351,"processed_job_expertise_skills_labels":352,"max_cpc":75,"actual_cpc":75},76062,"vice-president-business-analyst-payments-and-cash-management-mufg-bank-ltd-singapore-office","Vice President – Business Analyst (Payments and Cash Management)",{"name":344,"slug":345,"logo_url":40},"MUFG Bank, Ltd., Singapore Office","mufg-bank-ltd-singapore-office",[],[48],[55],{"sql":65},[61],{"fx knowledge":65,"documentation":65,"cash management":65,"solution design":65,"business analysis":65,"process 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