Top Python Jobs in Dublin

Lead Platform Engineer responsible for architecting, automating, and maintaining Linux-based server platforms. Duties include designing automation for builds, patch and OS lifecycles, troubleshooting as Tier III support, partnering with security and operations, documentation, and mentoring the team to improve processes and reliability.

Lead platform engineer responsible for architecting, automating, deploying, and maintaining server-based infrastructure. Design and implement automation for builds, OS management, patching, and configuration on physical and virtual servers; partner with Operations and InfoSec; provide Tier III support; create documentation, processes, and mentor team members in Agile environments.

Lead systems/platform engineer responsible for architecting, automating, deploying, and maintaining server-based infrastructure. Own lifecycle management including OS/images, patch management, configuration management, monitoring, and hardware remediation. Partner with Operations and InfoSec, provide Tier III support, develop automation and documentation, and mentor team members while working in Agile environments.

Lead platform engineering for distributed server-based solutions: architect, design, automate, deploy, and maintain physical and virtual infrastructure. Lead patch and OS image lifecycles, build automation and scripting, provide Tier III operational support, partner with InfoSec, develop processes and documentation, mentor team members, and work in Agile environments to improve platform efficiency and reliability.

Lead engineering, design, automate, and maintain server-based platform lifecycle (builds, OS management, patching, configuration). Act as Tier III support, create automation and scripts, partner with security and program teams, produce architecture and operational documentation, and mentor a team in Agile environments.

Lead System Platform Engineer responsible for architecting, designing, automating, deploying, and maintaining server-based infrastructure. Own lifecycle management including OS images, patch management, automation frameworks, troubleshooting as Tier III support, documentation, and partnering with InfoSec and program teams. Mentor and grow the platform engineering team while driving process improvements in an Agile environment.

Lead platform engineer responsible for architecting, automating, deploying, and maintaining server-based infrastructure and lifecycles. Build automation for OS, patching, configuration management, and server builds; provide Tier III support; collaborate with InfoSec and program teams; create documentation and processes; mentor and grow the platform engineering team; work in Agile environments to improve infrastructure efficiency and reliability.

Design and implement AI solutions, optimize systems, collaborate cross-functionally, mentor engineers, ensure quality and performance in software development.

Lead the development and implementation of advanced reporting and analytics tools to support clinical teams while managing a team of analysts. Collaborate cross-functionally to ensure high-quality deliverables and foster a high-performance culture.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Architect scalable, secure cloud/data systems (AWS, Cloudera, Databricks), build knowledge bases and APIs, optimize models in production, mentor engineers, and ensure data governance, security, and compliance.

Design, build, and operate enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs/microservices, monitor model performance, and collaborate across product and data teams while ensuring compliance, security, and operational excellence.

Lead design and delivery of cloud-native data platforms (AWS/Azure) and lakehouse architectures. Drive DevOps/CI-CD, IaC, governance, security, data pipelines (ETL/ELT), cost optimization, and mentor global engineering teams while collaborating with stakeholders to implement scalable, compliant, and observable data solutions.

Lead design and delivery of modern, scalable, secure cloud-native data platforms (AWS/Azure) and Lakehouse architectures. Drive DevOps/IaC, governance, data pipelines, cost optimization, observability, and mentor global engineering teams while enforcing standards and best practices.

Lead design and delivery of cloud-native data platforms and lakehouse architectures across AWS and Azure. Drive DevOps/IaC, data governance, secure medallion pipelines, performance optimization, and mentor global engineering teams while collaborating with stakeholders to translate business needs into scalable data solutions.

Lead design and implementation of scalable, secure cloud-native data platforms across AWS and Azure. Drive Lakehouse and medallion architectures, DevOps/IaC, data governance, security, cost optimization, and observability. Mentor global engineering teams, translate business needs into solutions, and enforce platform standards and best practices.

Lead design and implementation of scalable, secure cloud-native data platforms across AWS and Azure (lakehouse/medallion patterns). Drive DevOps/IaC, data governance, ETL/ELT pipelines, cost/observability optimization, and mentor global engineering teams while collaborating with stakeholders to translate business needs into production solutions.

Lead design and implementation of scalable, secure cloud-native data platforms across AWS and Azure. Drive lakehouse and medallion architectures, DevOps/IaC, data governance, pipeline engineering, cost optimization, observability, and mentor global engineering teams while collaborating with stakeholders to translate business needs into production systems.

Lead design and implementation of scalable, secure cloud-native data platforms (AWS/Azure) and lakehouse architectures. Drive DevOps/IaC, governance, data pipelines, cost optimization, mentorship, and cross-functional collaboration to ensure performant, compliant, and future-ready data infrastructure.

Lead design and implementation of scalable, secure cloud-native data platforms and Lakehouse architectures across AWS and Azure. Drive DevOps/IaC, governance, medallion pipelines, performance optimization, mentorship, and cross-team collaboration to deliver production-grade data solutions.

Lead design and delivery of scalable, secure multi-cloud data platforms and lakehouse architectures. Drive DevOps/IaC, governance, data pipelines, cost optimization, and mentor global engineering teams while ensuring compliance and operational excellence.

Lead design and implementation of cloud-native data platforms and Lakehouse architectures across AWS and Azure. Drive DevOps, infrastructure-as-code, data governance, security, scalable ETL/ELT pipelines, medallion architectures, cost optimization, and mentor global engineering teams while collaborating with stakeholders to translate business needs into production-ready data solutions.

Lead design and implementation of scalable, secure cloud-native data platforms and lakehouse architectures across AWS and Azure. Drive DevOps and IaC, enforce data governance, build ETL/ELT pipelines, optimize performance and cost, mentor global engineering teams, and collaborate with stakeholders to translate business needs into production data solutions.

Use advanced analytics and machine learning on complex healthcare datasets to identify patterns, design and build models, run experiments, and translate insights into data-driven solutions that improve patient outcomes and operational efficiency.

The role involves delivering operational support, system administration, database management, and DevOps operations, focusing on automated solutions and scalable infrastructure for EU customers.

The Principal Data Analyst will oversee in-house paid media analytics and operations, ensuring data accuracy and driving business performance with comprehensive B2B marketing insights.