Top Data Engineer Jobs in Dublin

The Lead Data Engineer will provide technical leadership, design complex data workflows, build data models, and maintain data quality while mentoring junior engineers and collaborating with cross-functional teams.

Design and build ETL/ELT pipelines, manage data migration to Snowflake, and create machine learning data pipelines. Collaborate in agile teams to optimize data solutions.

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.

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.

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 Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

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

The Data Engineer will design and implement data infrastructure, build scalable data pipelines, create data models, and automate workflows while collaborating with various teams to enhance analytics capabilities.

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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Principal Data Engineer will design and build large-scale backend systems and data pipelines, lead architectural decisions, and collaborate with teams to shape the technical roadmap.

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

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

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

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.