Top Data Engineer Jobs in Dublin

The Senior Data Engineer will lead data pipeline development for compliance solutions, utilizing innovative technologies and Big Data expertise. Responsibilities include building automation frameworks, performing data analysis, and enhancing process efficiency while collaborating with project teams.

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

The role involves developing capabilities for data parsing and enrichment in a cloud environment, leading cross-team initiatives, and ensuring high availability in distributed systems.

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.

As a Lead Security Engineer, you will architect and manage Circle's security data platform, ensuring robust data ingestion, normalization, and response strategies while collaborating on security operations initiatives.

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

As a Principal Data Engineer, you will lead the architecture and development of scalable data solutions, mentor engineers, and influence data practices across the business using Python, SQL, and modern data tools.

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.

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.

Lead the design and technical delivery of HV substations for data centre clients. Oversee multi-disciplinary teams, ensure project timelines, maintain safety standards, and mentor junior engineers.

The Data & BI Engineer will solve technical challenges, collaborate cross-functionally, mentor junior developers, and enhance data processes while ensuring documentation and best practices.

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

The Software Engineer will manage data collection for model training, enhance the cloud infrastructure, and collaborate with the AI team to improve dataset quality and accessibility.

The Lead Data Analytics & AI Engineer will lead the technical strategy and engineering best practices for data modeling, ingestion, and advanced analytics, while mentoring engineers and collaborating across teams.

The role focuses on developing and managing data-driven products for Investor Services, requiring collaboration with stakeholders and expertise in data science and business intelligence.

The role involves designing and building data solutions, maintaining pipelines, collaborating with teams, and ensuring data quality in a cloud environment.

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

Serve as an AI/ML subject-matter Solutions Engineer focused on AI runtime security. Analyze POC and red-team results, diagnose FP/FN causes, define risk thresholds, refine prompts/policies, and translate model behavior into business-focused recommendations for customers and internal teams.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Staff Software Engineer, you will enhance querying experiences, design microservices, support reliability in Grafana Cloud, and collaborate across teams to solve engineering challenges.

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