Senior Data Engineer — ETL, Airflow & Integrations

Engg; Dublin; On-site; EUR 85,000 - 120,000; Full time

Job summary

Salesforce is seeking a data engineering professional to develop, maintain and support ETL/ELT pipelines, data integrations and data warehouse platforms. You will design Airflow DAGs, work with Snowflake and Python, and support MuleSoft APIs connecting enterprise systems.

Collaborate with data engineering, Salesforce, application and security teams to ensure reliable data delivery, monitor jobs, and participate in release management and SOX processes as needed.

Qualifications

• 3–7 years of experience developing, maintaining, and supporting ETL/ELT pipelines, data integrations, and data warehouses.
• Strong SQL development and production troubleshooting skills.
• Hands-on experience with Python and Snowflake.
• Experience with Apache Airflow workflow development, scheduling, and monitoring.
• Experience supporting MuleSoft APIs and enterprise integrations.
• Knowledge of Salesforce APIs, authentication, and data integration patterns.
• Ability to document SOPs, runbooks, RCAs, and operational reports.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Develop, enhance, and support data ingestion and ETL/ELT solutions.
• Design and monitor Airflow DAGs for scheduling and workflow orchestration.
• Develop and support MuleSoft APIs and integrations.
• Provide production and AI-assisted monitoring and incident resolution recommendations.
• Monitor data quality, job status, and dependencies to meet SLAs.
• Support release management activities and SOX-related processes.
• Create and maintain SOPs, runbooks, and RCA reports.
• Collaborate with multiple teams to deliver stable data solutions.

Tools

Informatica

Tableau

Git

REST API

Job description

Salesforce is seeking a data engineering professional to develop, maintain and support ETL/ELT pipelines, data integrations and data warehouse platforms. You will design Airflow DAGs, work with Snowflake and Python, and support MuleSoft APIs connecting enterprise systems.

Collaborate with data engineering, Salesforce, application and security teams to ensure reliable data delivery, monitor jobs, and participate in release management and SOX processes as needed.