Top Python Jobs in Dublin

Develop and maintain secure, reliable, high-performance software for Mastercard payment technologies. Write maintainable code, contribute across the software development lifecycle from design through rollout, and own monitoring, dependencies, builds, and deployments. Collaborate effectively in a global environment while applying strong computer science, analytical, and problem-solving skills.

Develop secure, reliable, and maintainable software for Mastercard payment systems. Responsibilities include writing high-quality code, contributing across the software development lifecycle, owning monitoring, dependencies, builds, and deployments, and collaborating globally. Candidates should have strong computer science fundamentals, programming proficiency, communication skills, analytical ability, and problem-solving skills.

Develop and maintain secure, reliable, high-performance software for Mastercard’s payment systems. Write quality code, contribute across the software development lifecycle from design through rollout, and own monitoring, dependencies, builds, and deployments. Collaborate effectively in a global environment while applying strong computer science, analytical, and problem-solving skills.

Develop and maintain secure, reliable, and high-performing software for Mastercard’s payment systems. Write maintainable code, contribute across the software development lifecycle, and own team software including monitoring, dependencies, builds, and deployments. Collaborate effectively in a global environment while applying strong computer science fundamentals, analytical abilities, and problem-solving skills.

Develop and maintain secure, reliable, high-performance software for Mastercard’s payment technology. Write quality code, contribute throughout the software development lifecycle, and own team software including monitoring, dependencies, builds, and deployments. Collaborate effectively in a global environment while applying strong computer science, analytical, problem-solving, and communication skills.

Develop secure, reliable, and maintainable software for Mastercard’s payment systems. Contribute across the full software development lifecycle, from design through deployment, while owning monitoring, dependencies, builds, and production rollouts. Collaborate effectively in a global team and apply strong computer science, analytical, and problem-solving skills to deliver high-impact solutions.

Develop secure, reliable, and maintainable software for Mastercard’s payment systems. Contribute throughout the software development lifecycle, from design through rollout, while owning monitoring, dependencies, builds, and deployments. Collaborate effectively in a global environment and apply strong problem-solving, analytical, algorithms, data structures, and core computer science skills.

Develop secure, reliable, maintainable software for Mastercard’s payment systems. Contribute throughout the software development lifecycle, from design through rollout, while owning monitoring, dependencies, builds, and deployments. Collaborate effectively in a global environment and apply strong computer science fundamentals, analytical ability, and problem-solving skills to deliver high-quality code.

Develop and maintain secure, reliable, high-performing software for Mastercard’s payment systems. Write quality code, contribute across the software development lifecycle, and own monitoring, dependencies, builds, and deployments. Collaborate globally while applying strong problem-solving, software design, and computer science fundamentals.

Develop secure, reliable, and maintainable software for Mastercard’s payment systems. Contribute across the software development lifecycle, from design through deployment, while owning monitoring, dependencies, builds, and releases. Collaborate globally, solve complex problems, and apply computer science fundamentals to create high-quality applications with real-world customer impact.

Develop secure, reliable, and maintainable software for Mastercard’s payment systems. The role contributes across the software development lifecycle, including design, coding, monitoring, dependency management, builds, deployments, and rollout. Engineers collaborate globally and maintain ownership of their team’s software while applying strong security, analytical, and problem-solving practices.

Participate in a six-month internship developing data pipelines, models, applications, and scalable processing solutions. Analyze complex datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and collaborate with international teams to deliver data-driven insights and technologies.

Participate in a six-month internship applying data engineering, analytics, and technology to business problems. Build and maintain data pipelines, models, applications, and scalable processing solutions; analyze complex datasets; apply statistical, machine learning, and AI techniques; translate business requirements into technical solutions; and collaborate with international teams while communicating findings to technical and non-technical stakeholders.

Participate in a six-month internship developing data pipelines, data models, scalable processing solutions, and data-driven applications. Analyze complex datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and collaborate with cross-functional teams. The role includes mentorship, networking, performance assessments, and presenting project outcomes to leadership.

Participate in a six-month internship developing data pipelines, models, applications, and scalable data-processing solutions. Analyze complex datasets, apply statistical and machine-learning techniques, translate business needs into technical solutions, and communicate insights to stakeholders. Collaborate with international teams while exploring technologies that improve data and AI capabilities.

Participate in a six-month internship developing data pipelines, data models, scalable processing solutions, and data-driven applications. Analyze complex datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and communicate findings. Collaborate with international cross-functional teams while exploring technologies and methodologies that improve data and AI capabilities.

Participate in a six-month internship developing data pipelines, models, applications, and scalable data-processing solutions. Analyze complex datasets, apply statistical and machine-learning techniques, translate business needs into technical solutions, and collaborate with international teams. The role includes mentorship, networking, formal assessments, and presenting project outcomes to leadership.

Participate in a six-month internship developing data pipelines, models, applications, and scalable processing solutions. Analyze large datasets, apply analytical and machine learning techniques, translate business requirements into technical solutions, and communicate findings to diverse stakeholders. Collaborate with international teams while exploring technologies and methodologies that improve data and AI capabilities.

Participate in a six-month internship applying data engineering, analytics, and technology to business problems. Build and maintain data pipelines, data models, scalable processing solutions, applications, and analytical tools. Work with large datasets, explore machine learning and AI techniques, translate business requirements into technical solutions, collaborate with international teams, and communicate findings to technical and non-technical stakeholders.

Internship focused on designing and maintaining data pipelines, data models, and scalable data-processing solutions. Responsibilities include analyzing complex datasets, developing data-driven applications, applying analytical or AI techniques, translating business requirements into technical solutions, and collaborating with global teams. The intern will gain experience in data engineering, data science, databases, programming, and emerging technologies.

Six-month data engineering internship involving data pipelines, data models, scalable data processing, analytics, and data-driven applications. The intern will work with large datasets, apply statistical and AI techniques, translate business requirements into technical solutions, and collaborate with international teams while developing professional skills through mentorship and project work.

Six-month data engineering internship involving data pipelines, data models, scalable data processing, analytics, and data-driven applications. Interns will work with large datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and collaborate with international cross-functional teams. The role also includes presenting findings, exploring emerging technologies, and contributing to business problem-solving.

Develop and maintain scalable data pipelines integrating databases, APIs, logs, streaming platforms, and external providers. Build transformation and processing jobs, implement governance and de-identification controls, monitor pipeline reliability, and establish automation and deployment best practices. Partner with analytics, product, infrastructure, and data science teams to advance cloud-based data and analytic platforms using Azure, Databricks, Snowflake, Spark, and SQL.

Leads deep-dive analysis of operational and business data to identify trends, risks, root causes, and performance drivers. Uses SQL and analytics tools to validate data, support KPI reporting, modernize reporting processes, and prepare for Snowflake migration. Partners with cross-functional stakeholders to translate business questions into actionable insights, define reporting logic, improve data quality, and communicate recommendations to technical and non-technical leadership.

Owns commercial and intersegment billing, invoicing, reconciliations, financial controls, reporting, and data-quality processes. Partners with Finance, Operations, and technical teams to improve forecasting and decision support, modernize manual billing workflows, and prepare analytics for cloud data platforms such as Snowflake. Analyzes complex datasets, explains financial variances and risks, and communicates executive-level insights.