Top Data Engineer Jobs in Dublin

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.

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 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.

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 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 with 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 cloud platforms. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls. Collaborates across product, architecture, governance, platform, and business teams while supporting production readiness 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 as Code, and operational controls. Collaborates with product, architecture, governance, and business teams while supporting production operations and platform modernization.

Build and maintain scalable Snowflake data pipelines using SQL, Python, and Snowpark. Develop tasks, streams, stored procedures, and secure data-sharing workflows; analyze complex datasets and resolve data-quality issues. Manage code with GitHub and apply DevOps practices to improve deployment and reliability. Collaborate with technology teams, advise stakeholders, assess risks, and independently deliver high-quality data solutions within established timelines.

Build and optimize scalable data pipelines, models, data products, and data applications using Snowflake, dbt, Airflow, AWS, SQL, and Python. Ensure data quality through testing, documentation, and standardized ETL/ELT practices. Optimize warehouse performance, scalability, and cost efficiency while troubleshooting data processes and partnering with Product and Technology engineering teams.

Build and maintain scalable Snowflake data pipelines, write optimized SQL and stored procedures, automate workflows with tasks and streams, configure data sharing, and develop transformations using Snowpark and Python. Analyze complex datasets, resolve data quality issues, manage code with GitHub, and apply DevOps practices to improve deployment and reliability. The role is hybrid in Dublin and supports data infrastructure for a global financial institution.