Top Data Engineer Jobs in Dublin

The role involves building low-latency data pipelines, collaborating on features, overseeing development lifecycle, and ensuring data compliance and security.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

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 AWS Data Platform Engineer will build and maintain data pipelines, improve data infrastructure, collaborate with teams, and ensure data reliability.

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 role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Data Engineer will translate business objectives into actionable analytics, develop Big Data applications, automate quality checks, and collaborate on data privacy compliance.

The AI Data Engineer will design, build, and maintain data architecture and pipelines, optimize machine learning integration, and support operational processes.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Lead and expand enterprise Data Loss Prevention (DLP) capabilities, implement and automate DLP tools, leverage ML/LLMs for scalable operations, collaborate with cross-functional teams to remediate risks, mentor peers, and measure programmatic effectiveness against global legal and regulatory changes.

The Senior Software Engineer will design, build, and maintain components of eBay's Core Data Platform, focusing on distributed systems and operational reliability.

The role involves designing and operating data pipelines for AI-driven workflows, ensuring data quality, and collaborating with stakeholders for simplification initiatives.

The Senior Software Engineer will design and implement features for HubSpot's Data Sync and Data Studio platforms, utilize Haskell to develop a high-performance sync engine, and enhance infrastructure and monitoring tools while collaborating across teams.

As a Data Engineer at Yahoo, you'll implement AI/ML capabilities, build data pipelines, optimize workflows, and collaborate with teams to enhance user experiences.

The Junior Data Engineer will contribute to Citco's Centralized Data Platform by developing and optimizing ETL/ELT pipelines, utilizing Databricks and AWS tools, collaborating with stakeholders to enhance data processing and analytics.

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.

Lead data engineering initiatives, architect APIs, leverage AI/ML for analytics, collaborate across teams, and ensure data governance for Salesforce's ES team.

Lead development of core geospatial products, data-processing and annotation tools. Set technical vision for web apps, ETL pipelines, and backend services; optimize ML model orchestration; mentor engineers; collaborate with product and customers to deliver scalable, near-real-time geospatial data systems.

The Data & BI Engineer will analyze data, troubleshoot complex issues, enhance features, mentor juniors, and collaborate across teams to improve data quality and performance.

The Senior Data & BI Engineer will architect and optimize BI solutions, ensure data quality, guide junior engineers, and collaborate with stakeholders to align BI delivery with strategic goals.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Software Engineer will focus on data collection for AI model training, build ingestion pipelines, and collaborate with scientists on dataset roadmaps.

The Senior Data Developer is responsible for designing and enhancing data products, managing data pipelines, quality controls, and ensuring compliance with data governance standards. This includes developing scalable data platforms, partnering with stakeholders, and leading technical efforts.