Top Data Engineer Jobs in Dublin

The Senior Data Engineer is responsible for Databricks administration on AWS, focusing on configuration, governance, security, and optimization of the Databricks platform.

Lead Data Engineer responsible for developing innovative data-driven solutions to improve compliance processes, leading projects and managing data pipelines using various data technologies.

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 Senior Data Engineer will build data pipelines and infrastructure, analyze guest metrics, support A/B testing, and collaborate cross-functionally to deliver insights for decision-making.

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

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.

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

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.

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

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 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.

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.

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

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.

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

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

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

The Data Engineer will enhance, test, and implement applications, support IT operations, and collaborate with stakeholders to ensure delivery of robust solutions.

The Senior Data Engineer will design and develop solutions on Databricks, optimize ETL/ELT pipelines, and manage data governance in AWS.