[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-gb":3,"job-search-\u002Fde-gb\u002Fjobs-by-skill\u002Fpython?page=6":33,"skill-page-filters-\u002Fde-gb\u002Fjobs-by-skill\u002Fpython?page=6":614,"featured-jobs-\u002Fde-gb\u002Fjobs-by-skill\u002Fpython?page=6":823},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Python ist eine der wichtigsten Programmiersprachen im Vereinigten Königreich, insbesondere in der Finanzbranche. Seine Vielseitigkeit und Benutzerfreundlichkeit machen es zur bevorzugten Wahl für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [künstliche Intelligenz](\u002Fjobs-by-expertise\u002Fartificial-intelligence) und [quantitative Forschung](\u002Fjobs-by-expertise\u002Fquantitative-research). In [London](\u002Fjobs-in-london), dem Finanzzentrum des Landes, wird Python intensiv für die Entwicklung von [Datenpipelines](\u002Fjobs-by-expertise\u002Fdata-pipeline-development) und [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) genutzt. Unternehmen setzen auf Python, um [Datenqualität und Governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance) zu verbessern und [maschinelles Lernen](\u002Fjobs-by-skill\u002Fmachine-learning) für Vorhersagen und Modellierung einzusetzen. Dies trägt zur Effizienz in [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fasset-management) und [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services) bei und unterstützt [agile Methoden](\u002Fjobs-by-expertise\u002Fagile-methodologies) in der Projektentwicklung.",{"title":10,"content":11},"Top-Branchen & Standorte","In [London](\u002Fjobs-in-london) ist Python besonders in Branchen wie [Finanzen](\u002Fjobs-by-industry\u002Ffinance), [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fasset-management) und [Compensation Data and Tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools) gefragt. Diese Branchen nutzen Python für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und [quantitative Forschung](\u002Fjobs-by-expertise\u002Fquantitative-research), um Geschäftsprozesse zu optimieren. Zusätzlich ist Python in [künstlicher Intelligenz](\u002Fjobs-by-expertise\u002Fartificial-intelligence) und [Fintech](\u002Fjobs-by-industry\u002Ffintech) weit verbreitet, wo es für [Datenmodellierung](\u002Fjobs-by-expertise\u002Fdata-modelling) und [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) eingesetzt wird. Andere relevante Standorte im Vereinigten Königreich, die Python-Nachfrage aufweisen, umfassen [Birmingham](\u002Fjobs-in-birmingham) und [Leeds](\u002Fjobs-in-leeds), insbesondere in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management).",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Top-Arbeitgeber wie [PGA Global Services LLC, UK Branch](\u002Fcompany\u002Fpga-global-services-llc-uk-branch), [Ravio](\u002Fcompany\u002Fravio), [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp) und [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) suchen nach Python-Experten für [quantitative Forschung](\u002Fjobs-by-expertise\u002Fquantitative-research), [Datenengineering](\u002Fjobs-by-expertise\u002Fdata-engineering) und [künstliche Intelligenz](\u002Fjobs-by-expertise\u002Fartificial-intelligence). Gefragte Expertise umfasst [Datenpipeline-Entwicklung](\u002Fjobs-by-expertise\u002Fdata-pipeline-development), [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure), [Datenqualität und Governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance) sowie [agile Methoden](\u002Fjobs-by-expertise\u002Fagile-methodologies). Diese Unternehmen integrieren Python in [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management) und [Produktentwicklung](\u002Fjobs-by-expertise\u002Fproduct-development), um innovative Lösungen in [Finanzen](\u002Fjobs-by-industry\u002Ffinance) und [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fasset-management) voranzutreiben.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege mit Python im Vereinigten Königreich führen oft zu Rollen wie Data Engineer, Quantitative Analyst oder AI Specialist. Um die Fähigkeit zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Projekte in [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und [maschinellem Lernen](\u002Fjobs-by-skill\u002Fmachine-learning). Kombinieren Sie Python mit verwandten IT-Skills wie [SQL](\u002Fjobs-by-skill\u002Fsql), [dbt](\u002Fjobs-by-skill\u002Fdbt), [GCP](\u002Fjobs-by-skill\u002Fgcp) und [Terraform](\u002Fjobs-by-skill\u002Fterraform) für umfassende Expertise in [Cloud-Infrastruktur](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) und [Datenmodellierung](\u002Fjobs-by-expertise\u002Fdata-modelling). Fortgeschrittene Themen wie [Big Data](\u002Fjobs-by-expertise\u002Fbig-data) und [Finanzengineering](\u002Fjobs-by-expertise\u002Ffinancial-engineering) können die Karriere in [London](\u002Fjobs-in-london) fördern, unterstützt durch [agile Methoden](\u002Fjobs-by-expertise\u002Fagile-methodologies) und kontinuierliches Lernen.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Python is a cornerstone skill in the financial sector of the [Vereinigtes Königreich](\u002Fsearch), particularly in [London](\u002Fjobs-in-london), due to its versatility in data analysis, automation, and quantitative modeling. Its importance stems from its extensive libraries for [data analysis](\u002Fjobs-by-skill\u002Fdata-analysis), [machine learning](\u002Fjobs-by-skill\u002Fmachine-learning), and [artificial intelligence](\u002Fjobs-by-skill\u002Fartificial-intelligence), which are critical for driving innovation in [finance](\u002Fjobs-by-industry\u002Ffinance) and [wealth management](\u002Fjobs-by-industry\u002Fwealth-management). In the UK, Python is essential for tasks like predictive analytics, risk assessment, and algorithmic trading, enabling firms to enhance decision-making and operational efficiency. Its role in [data engineering](\u002Fjobs-by-expertise\u002Fdata-engineering) and [cloud infrastructure](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) supports the growing demand for scalable solutions in [compensation data and tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools), making it a must-have skill for professionals aiming to thrive in the competitive UK market.",{"title":23,"content":24},"Top Industries & Locations","In the [Vereinigtes Königreich](\u002Fsearch), Python is highly sought after in key industries such as [finance](\u002Fjobs-by-industry\u002Ffinance), [compensation data and tools](\u002Fjobs-by-industry\u002Fcompensation-data-and-tools), and [wealth management](\u002Fjobs-by-industry\u002Fwealth-management). [London](\u002Fjobs-in-london) stands out as the primary hub, hosting numerous financial institutions and tech firms that leverage Python for data-driven insights and automation. Other locations like [Leeds](\u002Fjobs-in-leeds) and [Birmingham](\u002Fjobs-in-birmingham) also show growing demand, especially in fintech and data analytics sectors. The integration of Python with [cloud computing](\u002Fjobs-by-skill\u002Fcloud-computing) and [big data](\u002Fjobs-by-expertise\u002Fbig-data) technologies fuels its adoption across these industries, supporting roles in quantitative analysis and [financial engineering](\u002Fjobs-by-expertise\u002Ffinancial-engineering). This skill is pivotal for enhancing [data quality and governance](\u002Fjobs-by-expertise\u002Fdata-quality-and-governance) and driving innovation in UK-based projects.",{"title":26,"content":27},"In-Demand Skills & Employers","Top companies in the [Vereinigtes Königreich](\u002Fsearch) such as [PGA Global Services LLC, UK Branch](\u002Fcompany\u002Fpga-global-services-llc-uk-branch), [Ravio](\u002Fcompany\u002Fravio), [LGT Wealth Management UK LLP](\u002Fcompany\u002Flgt-wealth-management-uk-llp), and [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) seek professionals with Python expertise for roles involving [quantitative research](\u002Fjobs-by-expertise\u002Fquantitative-research), [data pipeline development](\u002Fjobs-by-expertise\u002Fdata-pipeline-development), and [portfolio analytics](\u002Fjobs-by-expertise\u002Fportfolio-analytics). Related in-demand expertises include [data modelling](\u002Fjobs-by-expertise\u002Fdata-modelling), [artificial intelligence](\u002Fjobs-by-expertise\u002Fartificial-intelligence), and [machine learning](\u002Fjobs-by-skill\u002Fmachine-learning), which complement Python's capabilities. These employers value skills in [agile methodology](\u002Fjobs-by-expertise\u002Fagile-methodologies) and [project management](\u002Fjobs-by-expertise\u002Fproject-management) to deliver efficient solutions. Python is often used alongside tools like [SQL](\u002Fjobs-by-skill\u002Fsql) and [snowflake](\u002Fjobs-by-skill\u002Fsnowflake) for comprehensive data handling, making it integral to [business development](\u002Fjobs-by-expertise\u002Fbusiness-development) and [client service](\u002Fjobs-by-expertise\u002Fclient-service) in the UK market.",{"title":29,"content":30},"Career & Development","A career in Python within the [Vereinigtes Königreich](\u002Fsearch) offers diverse paths, from data scientist to financial analyst, with opportunities for growth in [quantitative analysis](\u002Fjobs-by-expertise\u002Fquantitative-analysis) and [AI development](\u002Fjobs-by-expertise\u002Fartificial-intelligence). To learn Python, start with online courses, certifications, and hands-on projects focusing on [data science](\u002Fjobs-by-skill\u002Fdata-science) and [machine learning](\u002Fjobs-by-skill\u002Fmachine-learning). Key related IT skills to master include [dbt](\u002Fjobs-by-skill\u002Fdbt), [gcp](\u002Fjobs-by-skill\u002Fgcp), and [terraform](\u002Fjobs-by-skill\u002Fterraform), which enhance Python's application in [cloud infrastructure](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) and [data warehouse design](\u002Fjobs-by-expertise\u002Fdata-warehouse-design). Developing expertise in [ETL best practices](\u002Fjobs-by-expertise\u002Fetl-best-practices) and [numerical problem solving](\u002Fjobs-by-expertise\u002Fnumerical-problem-solving) can lead to roles in top UK firms. Continuous learning through communities and real-world applications in [finance theory](\u002Fjobs-by-expertise\u002Ffinance-theory) and [predicting returns](\u002Fjobs-by-expertise\u002Fpredicting-returns) ensures long-term career advancement in this dynamic field.","skill:python:gb","2026-08-17T09:01:41.198523+02:00",{"total":34,"jobs":35},144,[36,88,131,171,196,227,251,286,310,331,352,372,396,418,446,476,508,538,561,588],{"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":60,"processed_job_expertise_skills":75,"processed_job_expertise_skills_labels":76,"max_cpc":87,"actual_cpc":87},59547,"senior-architect-adcquant-gbr006-refinitiv-limited","Senior Architect, ADC\u002FQuant",null,false,{"name":43,"slug":44,"logo_url":40},"Refinitiv Limited","refinitiv-limited",[46],"London",[48],"GB","onsite",120000,180000,"GBP","estimated",[55],"FULL_TIME","permanent",{"aws":58,".net":58,"java":58,"azure":58,"kafka":59,"athena":59,"python":58,"aws glue":59,"databricks":58,"sql server":58,"azure openai":58,"microsoft fabric":58,"vector databases":58,"azure data factory":59},4,3,[61,62,63,64,65,66,67,68,69,70,71,72,73,74],"Java",".NET","Python","Databricks","Microsoft Fabric","AWS Glue","Athena","Kafka","Azure OpenAI","Vector Databases","Azure Data Factory","SQL Server","Azure","AWS",{"architecture":58,"mlops\u002Fllmops":58,"sre principles":58,"data governance":58,"data architecture":58,"ai\u002Fml architecture":58,"cloud architecture":58,"technical strategy":58,"security architecture":58,"enterprise systems design":58},[77,78,79,80,81,82,83,84,85,86],"Architecture","Data Architecture","Cloud Architecture","AI\u002FML Architecture","Security Architecture","SRE Principles","Data Governance","MLOps\u002FLLMOps","Technical Strategy","Enterprise Systems Design",1,{"id":89,"slug":90,"title":91,"raw_title":40,"is_featured":41,"company":92,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":93,"processed_country_iso_code_gmaps":94,"processed_home_office":49,"processed_salary_min":95,"processed_salary_max":50,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":96,"processed_employment_types":56,"processed_it_skills":97,"processed_it_skills_labels":99,"processed_job_expertise_skills":111,"processed_job_expertise_skills_labels":112,"max_cpc":87,"actual_cpc":87},59530,"data-scientist-gbr006-refinitiv-limited","Data Scientist",{"name":43,"slug":44,"logo_url":40},[46],[48],80000,[55],{"sql":59,"llms":59,"mlops":59,"numpy":59,"pandas":59,"python":58,"scikit-learn":59,"generative ai":59,"azure ai services":98,"rag architectures":59,"data visualization":59,"cloud-based data science platforms":59},2,[63,100,101,102,103,104,105,106,107,108,109,110],"SQL","Pandas","NumPy","Scikit-learn","Generative AI","LLMs","RAG architectures","Cloud-based data science platforms","MLOps","Data visualization","Azure AI services",{"sre":98,"mentoring":59,"observability":98,"responsible ai":98,"experimentation":59,"machine learning":58,"model evaluation":59,"model governance":59,"model monitoring":59,"product delivery":59,"financial services":98,"feature engineering":59,"predictive analytics":58,"ai-powered automation":98,"market infrastructure":98,"operational analytics":98,"statistical modelling":58,"regulated environments":98},[113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130],"Machine Learning","Statistical Modelling","Predictive Analytics","Experimentation","Feature Engineering","Model Evaluation","Model Monitoring","Model Governance","Product Delivery","Mentoring","Financial Services","Regulated Environments","Market Infrastructure","Observability","SRE","Operational Analytics","AI-powered Automation","Responsible AI",{"id":132,"slug":133,"title":134,"raw_title":40,"is_featured":41,"company":135,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":136,"processed_country_iso_code_gmaps":137,"processed_home_office":49,"processed_salary_min":138,"processed_salary_max":139,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":140,"processed_employment_types":56,"processed_it_skills":141,"processed_it_skills_labels":142,"processed_job_expertise_skills":154,"processed_job_expertise_skills_labels":155,"max_cpc":87,"actual_cpc":87},59573,"principal-cloud-data-architect-gbr006-refinitiv-limited","Principal - Cloud Data Architect",{"name":43,"slug":44,"logo_url":40},[46],[48],150000,200000,[55],{"aws":58,"gcp":59,"sql":58,"azure":58,"hbase":59,"kafka":59,"python":58,"airflow":59,"graphql":59,"kinesis":59,"mongodb":59,"cosmosdb":59,"dataflow":59,"dynamodb":59,"snowflake":58,"databricks":58},[100,63,74,73,143,68,144,145,146,147,148,149,150,151,152,153],"GCP","Kinesis","DataFlow","Airflow","MongoDB","DynamoDB","HBase","CosmosDB","GraphQL","Snowflake","DataBricks",{"nosql":59,"privacy":59,"security":59,"data quality":58,"cloud services":58,"data governance":58,"data management":58,"data integration":58,"data architecture":58,"relational modeling":58,"secure architecture":58,"scalable architecture":58,"master data management":59,"modern data warehousing":58,"cost-effective architecture":59,"real-time data distribution":59,"end-to-end data architecture":58},[78,156,157,158,83,159,160,161,162,163,164,165,166,167,168,169,170],"Data Management","Data Integration","Data Quality","Master Data Management","Security","Privacy","Cloud Services","Real-time Data Distribution","NoSQL","Modern Data Warehousing","Relational Modeling","End-to-end Data Architecture","Cost-effective Architecture","Scalable Architecture","Secure Architecture",{"id":172,"slug":173,"title":174,"raw_title":40,"is_featured":41,"company":175,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":178,"processed_country_iso_code_gmaps":179,"processed_home_office":49,"processed_salary_min":180,"processed_salary_max":50,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":181,"processed_employment_types":56,"processed_it_skills":182,"processed_it_skills_labels":183,"processed_job_expertise_skills":186,"processed_job_expertise_skills_labels":187,"max_cpc":87,"actual_cpc":87},59892,"technical-product-lead-ftse-international-limited","Technical Product Lead",{"name":176,"slug":177,"logo_url":40},"FTSE International Limited","ftse-international-limited",[46],[48],90000,[55],{"ai\u002Fml":59,"python":59,"data science workflows":59},[63,184,185],"AI\u002FML","Data Science Workflows",{"market analysis":59,"product strategy":58,"client engagement":59,"financial services":59,"roadmap development":58,"competitive analysis":59,"go-to-market strategy":59,"indices and benchmarks":59,"equity and multi-asset products":59},[188,189,190,191,192,193,194,195,123],"Product Strategy","Roadmap Development","Market Analysis","Competitive Analysis","Client Engagement","Go-to-Market Strategy","Equity and Multi-Asset Products","Indices and Benchmarks",{"id":197,"slug":198,"title":199,"raw_title":40,"is_featured":41,"company":200,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":203,"processed_country_iso_code_gmaps":204,"processed_home_office":49,"processed_salary_min":205,"processed_salary_max":138,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":206,"processed_employment_types":56,"processed_it_skills":207,"processed_it_skills_labels":208,"processed_job_expertise_skills":216,"processed_job_expertise_skills_labels":217,"max_cpc":87,"actual_cpc":87},49201,"assistant-vice-president-data-virtualisation-lead-mufg-united-kingdom-btmu","Assistant Vice President, Data Virtualisation Lead",{"name":201,"slug":202,"logo_url":40},"MUFG - United Kingdom (BTMU)","mufg-united-kingdom-btmu",[46],[48],100000,[55],{"aws":58,"dbt":59,"gcp":59,"sql":58,"azure":59,"spark":59,"trino":58,"presto":59,"python":59,"power bi":59,"starburst":58,"kubernetes":58},[209,210,211,100,212,74,73,143,63,213,214,215],"Starburst","Trino","Presto","Kubernetes","Spark","Power BI","dbt",{"agentic ai":59,"data lakes":58,"data security":58,"ai fundamentals":59,"data governance":58,"data engineering":58,"cloud engineering":58,"architecture design":58,"distributed systems":58,"large language models":59},[218,219,220,83,221,222,223,224,225,226],"Data Engineering","Distributed Systems","Data Lakes","Data Security","Cloud Engineering","Architecture Design","AI Fundamentals","Large Language Models","Agentic AI",{"id":228,"slug":229,"title":230,"raw_title":40,"is_featured":41,"company":231,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":232,"processed_country_iso_code_gmaps":233,"processed_home_office":49,"processed_salary_min":180,"processed_salary_max":234,"processed_salary_currency":235,"processed_salary_source":53,"processed_working_hours":236,"processed_employment_types":56,"processed_it_skills":237,"processed_it_skills_labels":238,"processed_job_expertise_skills":239,"processed_job_expertise_skills_labels":240,"max_cpc":87,"actual_cpc":87},59539,"quantitative-valuations-specialist-gbr006-refinitiv-limited","Quantitative Valuations Specialist",{"name":43,"slug":44,"logo_url":40},[46],[48],130000,"USD",[55],{"sql":59,"python":58,"machine learning":59,"large language models":59},[63,100,113,225],{"training":59,"code review":59,"documentation":59,"software design":59,"strategic planning":59,"operational support":59,"fixed income pricing":59,"quantitative finance":58,"statistical modeling":59,"model lifecycle management":59},[241,242,243,244,245,246,247,248,249,250],"Quantitative Finance","Fixed Income Pricing","Statistical Modeling","Software Design","Code Review","Documentation","Training","Operational Support","Model Lifecycle Management","Strategic Planning",{"id":252,"slug":253,"title":254,"raw_title":40,"is_featured":41,"company":255,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":258,"processed_country_iso_code_gmaps":259,"processed_home_office":260,"processed_salary_min":180,"processed_salary_max":50,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":261,"processed_employment_types":56,"processed_it_skills":262,"processed_it_skills_labels":263,"processed_job_expertise_skills":275,"processed_job_expertise_skills_labels":276,"max_cpc":87,"actual_cpc":87},59866,"senior-devops-engineer-lch-ltd","Senior DevOps Engineer",{"name":256,"slug":257,"logo_url":40},"LCH Ltd","lch-ltd",[46],[48],"hybrid",[55],{"aks":59,"aws":58,"eks":59,"sql":59,"bash":58,"shell":58,"docker":58,"gitlab":58,"python":59,"ansible":58,"datadog":59,"jenkins":58,"control-m":98,"terraform":58,"kubernetes":58},[264,265,266,267,268,212,269,270,271,74,63,272,273,100,274],"GitLab","Jenkins","Ansible","Terraform","Docker","EKS","AKS","DataDog","Bash","Shell","Control-M",{"agile\u002Fscrum":59,"containerization":58,"ci\u002Fcd pipeline design":58,"ai-assisted development":98,"security and compliance":59,"infrastructure automation":58,"on-prem to cloud migration":98,"monitoring and optimization":59,"cloud infrastructure management":58},[277,278,279,280,281,282,283,284,285],"CI\u002FCD Pipeline Design","Infrastructure Automation","Containerization","Cloud Infrastructure Management","Monitoring and Optimization","Security and Compliance","Agile\u002FScrum","On-prem to Cloud Migration","AI-assisted 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