Top Data Engineer Jobs in Dublin

The Software Engineer will develop data models and products for data acquisition and curation, ensuring data quality and governance while collaborating with stakeholders.

The Staff DevOps Engineer will automate and manage Big Data applications on cloud infrastructure, build CI/CD pipelines, monitor performance, and support teams with expertise in data governance and troubleshooting issues.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

The Senior Data Engineer at Kargo will implement and optimize data pipelines, support CI/CD practices, and enhance data systems for better targeting and privacy compliance.

Design and develop core data models and products, build robust data pipelines, implement data governance, and collaborate with teams to maintain data accessibility and quality.

As a Senior Data Engineer at Mastercard, you will develop and maintain data pipelines, write clean code, and utilize big data technologies while collaborating in cross-functional teams.

The Senior Snowflake Data Engineer will develop data models, implement Snowflake best practices, and collaborate with teams to enhance data analytics at Davy.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Senior Data Engineer will architect and deliver cloud-first data platforms, mentor teammates, standardize data contracts, optimize pipelines, and ensure data quality and governance.

The Senior Data Engineer will design and deliver cloud-first data platforms, mentor teammates, and optimize data architectures and pipelines using various cloud services and technologies.

The Lead Data Engineer will design and develop data engineering solutions, ensuring data security, compliance, and robust pipeline performance for AI applications, collaborating with various teams to translate business requirements into actionable solutions.

Lead backend engineering for CrowdStrike's cloud-native security platform, focusing on scalable distributed systems and high-performance coding.

As a Data Engineer, you will build data solutions, create pipelines, maintain AI infrastructure, and ensure data quality while collaborating in an Agile environment.

The Platform Engineer manages cloud infrastructure, automates tasks, and improves system reliability while collaborating with cross-functional teams to meet platform needs.

As a Site Reliability/Operations Engineer, you will ensure reliability and performance of cloud platforms, deploy infrastructure, maintain automation tools, and collaborate with the team to resolve technical issues and enhance processes.

As a Data Engineer, you'll focus on SQL database engineering and web/API development. Responsibilities include solution design, data integration, operational support, testing, and collaboration with stakeholders.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Senior Data Engineer will develop data pipelines, automate ETL processes, ensure data quality, and collaborate with stakeholders to enhance data solutions.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Data Engineer will configure CRM and iPaaS environments, execute ETL processes, and collaborate with technical and QA teams for data migration and validation.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.