Top Python Jobs in Dublin

Leads technical execution for Azure-hosted commercial products using cloud infrastructure, IaC, microservices, containers, and data pipelines. Designs secure, scalable cloud solutions; integrates product features; troubleshoots complex issues; establishes engineering standards; and mentors engineers. Collaborates with product, architecture, UI/UX, and dependent teams while applying AI-assisted development practices, CI/CD, cloud security, and enterprise delivery processes.

Designs, builds, tests, and maintains scalable batch, real-time, and near-real-time data pipelines on Databricks and Azure. Develops ETL and data transformation workloads, migrates legacy data, creates data models, and implements monitoring, governance, security, and backup strategies. Automates production releases for data, machine learning, and business intelligence workloads. Uses and governs AI-assisted development tools, validates generated code, documents solutions, and coaches engineers on responsible AI tooling. Supports operational ownership of commercial data products.

Own and improve global network infrastructure, including Meraki environments, ISP circuits, office builds, Zero Trust security, monitoring, troubleshooting, and documentation. Deploy and govern enterprise AI platforms such as Gemini and Claude, build API-driven automations, and enforce data protection and access controls. Partner across IT, Security, Facilities, Compliance, and Engineering, provide escalation support, lead infrastructure projects, and participate in global on-call operations.

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 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 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.

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 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 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.

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, 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.

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.

Lead a small senior team designing, building, and operating enterprise-scale infrastructure platforms. Own architecture through production, write and review production code, run on-call rotations, establish AI-native engineering practices, ensure security and reliability, decompose ambiguous problems, measure outcomes, and collaborate with stakeholders to drive scalable, cost-effective infrastructure solutions.

Design, build, and operate enterprise-scale infrastructure platforms; write and review production code; own reliability, performance, security, and cost; run on-call rotations and respond to incidents; use AI-native engineering practices to accelerate development and automation; collaborate on technical decisions and decompose ambiguous problems into production-ready systems.

Provides financial analytics, forecasting, modeling, dashboard development, data quality control, and reporting for pharmacy network contracting and underwriting teams. The role analyzes financial performance and trends, supports client and vendor strategies, maintains data stewardship, gathers stakeholder requirements, reconstructs datasets, trains business users, and contributes to data-tool and AI improvement projects.

Designs, develops, and supports cloud-native data products and platform capabilities. Builds scalable batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Implements governance, security, observability, CI/CD, and infrastructure automation. Collaborates across product, architecture, governance, and business teams while supporting production operations, platform modernization, and continuous improvement.

Designs, develops, and supports secure, scalable cloud-native data products and platform capabilities. Builds batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls. Collaborates across product, architecture, governance, and business teams while supporting production systems and platform modernization.

Designs, develops, and supports secure, scalable cloud-native data products and platform capabilities. Builds batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and AWS or Azure. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls while supporting production systems. Collaborates with product, architecture, governance, and business teams to deliver enterprise data solutions and contribute to platform modernization.

Designs, develops, and supports cloud-native data products and platform capabilities. Builds scalable batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls. Collaborates across technical and business teams, supports production systems, and contributes to platform modernization and continuous improvement.

Designs, develops, and supports cloud-native data products and platform capabilities. Builds scalable batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Develops reusable engineering frameworks, implements governance, security, observability, and automation, and supports CI/CD, infrastructure as code, production operations, and platform modernization. Collaborates with technical, governance, product, and business stakeholders to deliver secure, reliable, compliant enterprise data solutions.

Designs, develops, and supports cloud-native data products and platform capabilities. Builds scalable batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls. Collaborates with technical and business stakeholders, supports production systems, and contributes to platform modernization and continuous improvement.

Designs, develops, and supports secure, scalable cloud-native data products and platform capabilities. Builds batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls. Collaborates across product, architecture, governance, and business teams while supporting production systems, platform modernization, and continuous improvement.

Designs, develops, and supports cloud-native data products and platform capabilities. Builds scalable batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls while supporting production systems. Collaborates with technical and business teams to deliver secure, compliant enterprise data solutions and contributes to platform modernization and continuous improvement.