Data Engineer (Salesforce Platform)

HCCM Consulting, S.A; Lisboa; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A consulting firm based in Lisbon seeks a Data Engineer to develop and maintain data pipelines for Salesforce platforms within a banking organization. The role requires 3–5 years of experience in building ETL/ELT processes using PaaS tools. Candidates must have a strong understanding of cloud systems, data modeling, and be familiar with Salesforce data structures. This position involves optimizing data processes, integrating APIs, and providing operational support in an offshore model. Competitive compensation offered.

Qualificações

• 3–5 years of experience as a Data Engineer in Enterprise organizations.
• Strong experience building ETL/ELT processes using PaaS tools.
• Experience with high-volume data processing and regulated environments.

Responsabilidades

• Design, develop, and maintain ETL/ELT processes with Salesforce and Data Lake.
• Build API-based integrations between Salesforce and banking systems.
• Produce technical documentation and support UAT.

Conhecimentos

ETL/ELT process development

Salesforce data model familiarity

Cloud systems and APIs

High-volume data processing

Data Lake / Data Warehouse

Ferramentas

Talend

Informatica Cloud

Azure Data Factory

Kafka

Event Hub

Descrição da oferta de emprego

Development and maintenance of data pipelines for Salesforce platforms in a banking organization, including system integrations, data flows to/from DataLake, and ETL/ELT tools on PaaS.

ProfessionalProfile / Required Experience:

• 3–5 years of experience as a Data Engineer in Enterprise organizations
• Strong experience building ETL/ELT processes using PaaS tools such as Talend, Informatica Cloud, Azure Data Factory, or similar
• Familiarity with Salesforce data model and CRM data structures
• Experience working with cloud systems and APIs (REST/SOAP)
• Experience with Data Lake / Data Warehouse environments
• Experience with high-volume data processing and regulated environments (banking – advantage)

Responsibilities:

• Design, develop, and maintain ETL/ELT processes to transfer data to/from Salesforce and Data Lake
• Build API-based integrations between Salesforce and internal banking systems
• Perform data processing, cleansing, enrichment, and integration from multiple sources
• Troubleshoot data pipelines and optimize existing processes
• Work closely with Salesforce developers, implementers, and data architects
• Produce technical documentation and apply best practices for data quality and security
• Support UAT and provide operational support in an offshore model

TechnicalSkills:

• Experience with tools such as Talend / ADF / Informatica Cloud
• Java – advantage
• Experience with messaging and streaming tools (Kafka / Event Hub) – advantage
• Familiarity with CI/CD processes in data engineering
• Strong understanding of data modeling and data governance