Top Data Engineer Jobs in Dublin

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

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

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

The Data Engineer will design and build a data warehouse, optimize ETL/ELT processes, enhance Power BI reports, and train the internal team.

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

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 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 Senior Data Engineer oversees Databricks administration on AWS, focusing on security, cost optimization, monitoring, and compliance in data environments.

The Senior Data Engineer will architect and optimize data systems on GCP, focusing on data ingestion, transformation, and performance for analytics applications.

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.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.