Top Data Engineer Jobs in Dublin

Design, build, and maintain scalable ETL/ELT data pipelines, integrate and transform diverse data sources, enforce governance and quality, monitor systems, and collaborate with analytics and business teams to support healthcare cost and outcomes analysis.

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.

Join an Agile data engineering team to migrate analytics from Oracle to Microsoft Fabric. Design and build data pipelines, metadata-driven ingestion and orchestration frameworks, perform integration testing and data mirroring, contribute to analytics data modelling, and support Microsoft Purview implementation for scanning, cataloguing, and governance.

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

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

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

As a Senior Data Engineer, you'll develop and maintain ETL data pipelines, integrate data from multiple sources, ensure data quality, and support analytics and ML tasks. You'll also collaborate on architecture and best practices.

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 Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

The Data Engineer will analyze data to drive business insights, create dashboards, and collaborate with teams to optimize product performance using SQL and visualization tools.

The Senior Data Engineer at Citi will develop scalable data pipelines, manage deliverables, mentor junior developers, and interact with business stakeholders in a fast-paced environment.

The Data Scientist will develop and deploy AI/LLM models for security solutions, collaborate across teams, and ensure robust deployments.

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.

Design and optimize large-scale, high-performance ETL/ELT pipelines for security telemetry. Lead MDM, data enrichment, quality/observability, cataloging, and governance. Build dimensional data marts and semantic layers, enforce PII masking and retention policies, and mentor the data engineering squad to ensure discoverable, trusted security data assets.

Design, build, and operate large-scale cloud-native data pipelines and lakehouse/warehouse solutions using Databricks, Snowflake, Spark/PySpark and Delta Lake. Implement MLOps practices, ensure data quality and governance, collaborate with architects and product owners, and support BI/ETL tooling and CI/CD for production deployments.

The Software Engineer for Data Infrastructure & Acquisition will enhance data collection for AI model training, improve ingestion pipelines, and collaborate with AI scientists for optimal data usage.

The Data Engineer will support backend operations by building and maintaining ETL/ELT pipelines, monitoring data integrity, and creating datasets for reporting across teams.

As a Senior Data Engineer, you'll design, build, and maintain scalable data platforms and pipelines while collaborating with various stakeholders. Responsibilities include optimizing data workflows, ensuring data quality and compliance, and implementing CI/CD processes for data solutions.

Design and develop cloud-native backend services in Rust to process terabytes of data daily. Build and operate data-intensive microservices on AWS and Kubernetes, integrate with distributed databases and messaging systems (Kafka/RabbitMQ), and collaborate across teams to deliver observability features.

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.

As an MTS 2 Software Engineer, you will build and manage core components of eBay's declarative data platform, focusing on optimizing data pipelines and reducing operational inefficiencies. Responsibilities include designing systems for global data flow management, developing platform capabilities, and collaborating with various teams to enhance the platform.

Own and evolve a GCP-native data platform from ingestion to reporting. Lead architecture, reliability, observability, data quality, cost optimization, and AI-assisted engineering practices while mentoring engineers and collaborating with product and customer teams.

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