Top Python Jobs in Dublin

Design, develop, test, and maintain backend services, RESTful APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver secure, scalable solutions. Participate in code reviews, testing, CI/CD, release activities, production support, troubleshooting, and root-cause analysis. Apply secure coding, monitoring, logging, and operational readiness practices while improving automation, reliability, and delivery processes.

Designs, develops, tests, and maintains secure backend services, REST APIs, integrations, and microservices. Collaborates with product, architecture, engineering, and data teams to deliver scalable solutions. Participates in code reviews, CI/CD, production support, troubleshooting, root cause analysis, monitoring, and reliability improvements while following security, privacy, and compliance standards.

Design, develop, test, and maintain secure backend services, RESTful APIs, integrations, and microservices. Collaborate with product, architecture, engineering, data, and data science teams to deliver technical solutions. Participate in code reviews, CI/CD, testing, releases, troubleshooting, root cause analysis, observability, production support, and automation while following security, privacy, and compliance standards.

Develop and maintain secure, scalable backend services, REST APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver solutions. Participate in design, coding, testing, reviews, CI/CD, releases, troubleshooting, root cause analysis, monitoring, and production support while following security and compliance standards.

Develop and maintain secure, scalable backend services, REST APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver solutions. Participate in design, coding, testing, reviews, CI/CD, releases, production support, troubleshooting, and root cause analysis. Improve reliability, automation, observability, and operational readiness while following security, privacy, and compliance standards.

Designs, develops, tests, and maintains backend services, RESTful APIs, integrations, and scalable software solutions. Collaborates with product, architecture, engineering, and data teams; participates in code reviews, CI/CD, releases, troubleshooting, and root-cause analysis. Applies secure coding, monitoring, operational readiness, and compliance practices while improving automation, reliability, and supportability.

Develop and maintain secure, scalable backend services, REST APIs, and integration components using modern software engineering practices. Collaborate with product, architecture, data, and engineering teams; participate in design, coding, testing, code reviews, CI/CD, and production support. Troubleshoot issues, perform root cause analysis, improve reliability, and apply secure coding, monitoring, privacy, and compliance standards.

Design, develop, test, and maintain secure backend services, REST APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver technical solutions. Participate in code reviews, CI/CD, testing, releases, monitoring, troubleshooting, and root-cause analysis. Improve reliability, automation, and operational readiness while following security, privacy, and compliance standards.

Design, develop, test, and maintain secure backend services, RESTful APIs, integrations, and microservices. Collaborate with product, architecture, data engineering, and data science teams to deliver technical solutions. Participate in code reviews, testing, CI/CD, releases, monitoring, and production support. Troubleshoot issues, perform root-cause analysis, improve reliability, and follow security, privacy, and compliance standards.

Design, develop, test, and maintain secure backend services, RESTful APIs, integrations, and microservices. Collaborate with engineering, data, product, and architecture teams to deliver technical solutions. Participate in code reviews, testing, CI/CD, releases, monitoring, troubleshooting, root-cause analysis, and production support while improving reliability, security, and delivery efficiency.

Develop and maintain secure, scalable backend services, RESTful APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver technical solutions. Participate in design, coding, testing, code reviews, CI/CD, releases, monitoring, and production support. Troubleshoot issues, perform root cause analysis, apply secure coding practices, and improve automation, reliability, and operational readiness.

Build and operate cloud-native reliability, release, and test platforms. Develop Kubernetes-based infrastructure, automated quality gates, CI/CD integrations, observability, progressive delivery, testing frameworks, and developer self-service environments. Automate failure detection, deployment verification, security checks, and reliability assessments while partnering with engineering teams on architecture and reliability practices. The role also leads platform evolution, resilience validation, and sustainable resolution of infrastructure issues.

Leads the design and delivery of enterprise data platforms and pipelines supporting credit risk, decisioning, analytics, regulatory reporting, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and modern ETL/ELT patterns. Establishes data quality, governance, lineage, observability, security, and compliance capabilities; modernizes legacy platforms; optimizes large-scale workloads; and drives engineering standards. Partners cross-functionally, influences architecture and roadmaps, mentors engineers, resolves complex dependencies, and supports technical hiring.

Leads the design, development, and modernization of enterprise data platforms and pipelines supporting credit risk, analytics, regulatory reporting, and AI initiatives. Architects cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, and related technologies. Establishes data quality, governance, lineage, security, monitoring, and operational standards while optimizing performance and cost. Partners with cross-functional stakeholders, influences architecture and roadmap decisions, mentors engineers, and drives delivery across complex initiatives.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes governance, quality, lineage, observability, and security controls; optimizes large-scale processing; and guides technical strategy. Partners across risk, product, architecture, and engineering, mentors teams, influences stakeholders, supports compliance, and drives delivery across complex initiatives.

Lead the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL and ELT solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, observability, security, and compliance controls. Drive modernization, performance optimization, technical standards, cross-functional delivery, architectural decisions, mentoring, talent assessment, and strategic roadmap planning.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, analytics, regulatory reporting, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes data quality, governance, lineage, observability, and security controls; modernizes legacy systems; optimizes large-scale processing; and mentors engineers while influencing cross-functional technical strategy.

Leads the design and implementation of enterprise data platforms, ETL/ELT pipelines, lakehouse architectures, and distributed processing systems supporting credit risk and analytics. Establishes data quality, governance, lineage, security, monitoring, and operational standards while modernizing legacy assets in the cloud. Partners with product, risk, architecture, and data science teams, mentors engineers, influences technical strategy, optimizes performance and cost, supports compliance, and drives complex cross-functional initiatives.

Lead the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL/ELT, streaming, and lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, security, observability, and operational standards. Provide technical leadership, mentor engineers, influence architecture and roadmaps, optimize workloads, and collaborate across product, risk, analytics, architecture, and business teams.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes governance, quality, lineage, observability, security, and compliance controls; optimizes large-scale workloads; and drives technical standards, cross-functional delivery, mentoring, and strategic roadmap planning.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Builds scalable cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, SQL, and Python. Establishes data quality, governance, lineage, security, monitoring, and operational excellence practices. Partners across risk, product, architecture, and engineering; influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes data quality, governance, lineage, security, monitoring, and operational standards; modernizes legacy systems; optimizes large-scale processing; influences technical strategy; mentors engineers; and partners with cross-functional stakeholders to deliver resilient, compliant data products.

Leads the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based ETL/ELT, lakehouse, streaming, governance, and data quality solutions; modernizes legacy assets; optimizes processing; and establishes engineering standards, testing, deployment, and operational practices. Partners across risk, product, architecture, and engineering, influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Optimize customer production architectures and guide resilient, scalable, cloud-native application designs. Investigate database and distributed-system performance, evaluate architectural trade-offs, and recommend improvements across applications, APIs, infrastructure, security, and operations. Lead technical discovery with developers, architects, and engineering leaders, while advising on modernization and AI application patterns including Vector Search, RAG, and intelligent agents. Build trusted relationships and influence technical decisions across EMEA customers.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.