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

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.

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.

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

Lead HV substation design for data centre clients, ensuring technical delivery, managing resources, mentoring junior engineers and ensuring safety compliance.

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.

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

Lead development and implementation of scalable machine learning systems, drive MLOps standards, and optimize AI solutions while mentoring teams.

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

The role involves developing and maintaining data models, managing data pipelines, ensuring data quality, and collaborating with business teams to create robust data solutions.

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

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.

Develop and implement quantum algorithms, conduct research, supervise junior researchers, and disseminate results. Focus on optimization problems using quantum computing.

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.

Responsible for developing and implementing automated testing frameworks for Databricks solutions, ensuring data accuracy and reliability across data pipelines.