Top Data Engineer Jobs in Dublin

This role involves designing and developing an analytical product, optimizing performance, ensuring data security, and collaborating with cross-functional teams.

The Data Engineer II will build and maintain data pipelines, migrate Hadoop workloads to Databricks Cloud, and develop ETL processes while ensuring data quality and performance tuning in a collaborative environment.

As a Data Engineer, you will build data solutions, create pipelines, maintain AI infrastructure, and ensure data quality while collaborating in an Agile environment.

The Data Infrastructure Engineer will enhance production data infrastructure, automate deployments, monitor system performance, and implement security best practices.

The Senior Data Engineer will develop data pipelines, automate ETL processes, ensure data quality, and collaborate with stakeholders to enhance data solutions.

Design and build data pipelines for ad verification and analytics, streamline data science processes, mentor data engineers, and implement best practices.

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 Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

As a Senior Python Data Engineer at RoomPriceGenie, you will design ETL pipelines, develop robust codebases, and collaborate with teams to enhance data processing and architectural evolution.

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

Lead the development of data infrastructure and strategy, manage a team of engineers, and ensure compliance with data governance across the organization.

The Senior Data Engineer will design and implement scalable data solutions, develop ELT pipelines, optimize performance, and collaborate with teams to enhance data systems at Zendesk.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

The Sr Data Engineer will enhance data warehouse performance and collaborate with teams on data models and analytics tools.

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

The Sr Data Engineer will analyze and optimize big data warehouses, improve data models and pipelines, and design monitoring tools.

Lead and design BI solutions for RenaissanceRe's Investments team, transitioning from legacy systems to modern cloud-based platforms, while mentoring junior engineers.

The Senior Data Engineer will design and build data products, develop analytics solutions in AWS, and support their lifecycle in a collaborative environment.

Design and develop data and analytics solutions, ensure stability and usability of data resources, and support applications throughout their lifecycle.

As a Senior Data Engineer, you'll develop scalable data infrastructure, design data models, improve analytics, and ensure quality insights are available across teams.

The Senior Staff Software Engineer will design, build, and maintain data streaming pipelines using Kafka, enhancing system performance for cybersecurity solutions.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Senior Analytics Engineer, design and implement data governance and RBAC in Snowflake, optimize SQL queries, and enhance data systems while mentoring team members.

The Senior Data Engineer will develop and maintain data pipelines, optimize data architecture, and ensure data compliance and quality for advanced analytics.