data engineer in Salesforce Data Cloud

adesso SE; Berlin; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Training programs

Transparent career level model

Job summary

adesso SE в Берлине ищет специалиста по Salesforce Data Cloud для реализации и внедрения в клиентских проектах. Вы будете устанавливать соединения источников данных, моделировать данные и активировать их в целевых системах.

Вакансия предполагает проектирование ETL/ELT, настройку идентификации и соответствие требованиям GDPR, создание сегментов и KPI, мониторинг качества данных и оптимизацию процессов. Требуется владение немецким и английским языками.

Qualifications

• Several years of project experience with Salesforce Data Cloud or comparable technologies such as CDP, data integration, or data warehousing
• A degree in (business) informatics, data science, or a comparable qualification
• Knowledge of data models, SQL, JSON, APIs, and ETL processes
• Enthusiasm for Customer 360, real-time data, segmentation, and activation
• Salesforce certifications, such as Data Cloud Consultant, Marketing Cloud, or Platform App Builder, or motivation to earn them soon
• Confident use of AI tools in the field, critical evaluation of their results, and ability to help clients and adesso use AI opportunities
• Very good German and good English skills for technical and business communication
• Будет плюсом: Marketing Cloud or Loyalty Cloud experience

Responsibilities

• Implement Salesforce Data Cloud technically in client projects, from connecting data sources and modeling data to activating it in target systems
• Design ETL/ELT processes, model data streams, harmonize identities, and ensure a high-performance data foundation
• Implement identity resolution and matching rules, and ensure privacy-compliant processing and governance
• Build segments, KPIs, and calculated fields, and activate data for journeys, marketing automation, loyalty, or external systems
• Establish monitoring processes, check data quality, and ensure stable operation of clients’ Data Cloud solutions
• Keep up with Salesforce Data Cloud features and bring best practices to the team and projects

Skills

Salesforce Data Cloud

Data modeling

ETL/ELT processes

Data governance

AI tools

German language

English language

Education

Degree in business informatics / data science

Tools

SQL

JSON

APIs

Job description

Описание:

adesso optimizes clients’ core business processes by applying tailored IT solutions and helping them leverage their businesses and current technologies.

Задачи:

• Implement Salesforce Data Cloud technically in client projects, from connecting data sources and modeling data to activating it in target systems
• Design ETL/ELT processes, model data streams, harmonize identities, and ensure a high-performance data foundation
• Implement identity resolution and matching rules, and ensure privacy-compliant processing and governance
• Build segments, KPIs, and calculated fields, and activate data for journeys, marketing automation, loyalty, or external systems
• Establish monitoring processes, check data quality, and ensure stable operation of clients’ Data Cloud solutions
• Keep up with Salesforce Data Cloud features and bring best practices to the team and projects

Требования:

• Several years of project experience with Salesforce Data Cloud or comparable technologies such as CDP, data integration, or data warehousing
• A degree in (business) informatics, data science, or a comparable qualification
• Knowledge of data models, SQL, JSON, APIs, and ETL processes
• Enthusiasm for Customer 360, real-time data, segmentation, and activation
• Salesforce certifications, such as Data Cloud Consultant, Marketing Cloud, or Platform App Builder, or motivation to earn them soon
• Confident use of AI tools in the field, critical evaluation of their results, and ability to help clients and adesso use AI opportunities
• Very good German and good English skills for technical and business communication
• Будет плюсом: Marketing Cloud or Loyalty Cloud experience

Условия:

Training programs and a transparent career-level model