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Salesforce

Builds cloud software for customer relationships

Data Engineering Associate-Finance

Data EngineeringConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • Strong SQL development, data analysis, 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.
  • Understanding of ETL/ELT processes, API integrations, job monitoring, incident management, release management, and SLA-based production support.
  • Working knowledge of Salesforce platform concepts, objects, APIs, authentication, and integration patterns.
  • Knowledge of data warehouse concepts, including fact and dimension tables, star and snowflake schemas, conformed dimensions, and Slowly Changing Dimensions.
  • Ability to create clear Standard Operating Procedures, runbooks, Root Cause Analyses, operational reports, and technical documentation.

Responsibilities

  • Develop, enhance, and support data ingestion and ETL/ELT solutions using Python, Snowflake, SQL, Informatica, or BusinessObjects Data Integrator.
  • Design, maintain, and monitor Apache Airflow DAGs for scheduling, workflow orchestration, dependency management, retries, and failure recovery.
  • Develop and support MuleSoft APIs and integrations connecting Salesforce, enterprise applications, databases, and data platforms.
  • Provide production and agentic support using AI-assisted monitoring, troubleshooting, knowledge retrieval, incident summarization, and resolution recommendations.
  • Monitor scheduled jobs, APIs, interfaces, data availability, data quality, and upstream/downstream dependencies to meet operational SLAs.
  • Perform incident triage, restore failed services, coordinate with stakeholders, and track Time to Resolution.
  • Support month-end, quarter-end, and year-end activities by assisting with the SoX process in collaboration with Internal and External Auditors.
  • Conduct Root Cause Analysis for recurring or critical incidents, document corrective and preventive actions, and track them through closure.
  • Support release management activities, including deployment planning, release validation, production verification, rollback readiness, and post-release monitoring.
  • Create and maintain operational run lists, production schedules, release checklists, job inventories, dependency details, and escalation contacts.
  • Develop and maintain Standard Operating Procedures, runbooks, support documentation, knowledge articles, and Root Cause Analysis reports.
  • Perform operational activities such as system patching, password and credential rotation, certificate renewal, access management, configuration changes, and environment migrations.
  • Support Salesforce-related integrations using knowledge of Salesforce objects, APIs, authentication, batch interfaces, data flows, and integration troubleshooting.
  • Perform data validation, source-to-target reconciliation, completeness checks, and failed-job recovery to ensure reliable data delivery.
  • Collaborate with data engineering, Salesforce, application, infrastructure, security, database, and business teams to resolve issues and deliver stable solutions.

Desired Qualifications

  • Knowledge of Finance and HCM systems.
  • Experience with Informatica or Data Integrator.
  • Tableau reporting and dashboard-development experience.
  • Familiarity with Salesforce data models and tools such as Bulk API, REST API, Platform Events, or Change Data Capture.
  • Experience with AI-assisted or agentic support solutions for monitoring, incident analysis, automated remediation, and knowledge management.
  • Knowledge of CI/CD pipelines, Git, automated deployment, release controls, and rollback procedures.
  • Experience with cloud platforms, observability tools, service-management platforms, and enterprise alerting solutions.
  • Familiarity with Agile delivery, ITIL processes, change management, and problem management.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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