Marketing Data Engineer – m/f/d

Jobtailor; Wien; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data engineering professional to develop a scalable data foundation for marketing automation. You will create a 360° customer view from CRM, usage, and contract data and ensure data quality across systems.

You will translate marketing requirements into automation logic, build integrations, and enable analytics and decision-making through KPI and ROI frameworks. Collaboration across Marketing, CRM, Product Management, and Engineering is essential.

Qualifikationen

• Several years of experience in data engineering with knowledge in data science, analytics, or marketing analytics.
• Experience in marketing automation and data-driven lifecycle management.
• Solid knowledge of data modeling, ETL/ELT, and data quality management.
• Experience with CRM systems, marketing automation platforms, and complex integrations.
• Analytical thinker who translates business requirements into scalable data solutions.
• Familiarity with GDPR, consent management, and data governance.

Aufgaben

• Develop scalable data models and a 360° customer view from CRM, usage, and contract data.
• Build data integrations and keep data consistent across systems.
• Translate marketing requirements into data-driven automation logic, such as triggers and segments.
• Design tracking and tagging concepts for digital channels and ensure tracking quality.
• Enable analytics and data-driven decision making with KPI frameworks and ROI measurements.
• Collaborate with Marketing, CRM, Product Management, and Engineering to deliver data solutions.

Kenntnisse

Data Engineering

Data Modeling

ETL/ELT

Marketing Analytics

HubSpot

GDPR/Consent Management

CRM Systems

Tools

HubSpot CRM

Marketing Automation Platforms

Data Integration Tools

Jobbeschreibung

• Further develop the data foundation for marketing automation
• You build scalable data models and a central 360° customer view from CRM, usage, and contract data, and continuously develop them.
• You ensure that personalized and automated customer communications are based on the correct customer and behavioral data.
• You translate requirements from Marketing and Lifecycle into data-driven automation logic, such as triggers, segments, and customer journeys.
• Develop data platforms and integrations
• You build, operate, and optimize data integrations and interfaces to the marketing automation platform.
• You consolidate CRM, behavioral, and product usage data and keep it consistent across all systems.
• You monitor data flows, ensure their quality, and resolve errors before they affect campaigns.
• Enable analytics and data-driven decision making
• You create the analytical foundations for segmentation, personalization, churn predictions, and customer lifecycle models.
• You develop the KPI, reporting, and ROI frameworks with which we measure and improve marketing performance.
• Marketing defines the metrics themselves; you ensure they are reliable.
• Drive tracking and success measurement
• You design tracking and tagging concepts for digital channels and continuously refine them.
• You ensure tracking quality as the basis for automation, analytics, and reporting.
• Ensure data quality and compliance
• You ensure high data quality and compliance with data protection, governance, and other regulatory requirements.
• You define and implement standards for data cleansing, retention, deletion, and consent management.

Requirements

• You have several years of experience in data engineering, ideally complemented by knowledge in data science, advanced analytics, or marketing analytics.
• You have worked in the context of marketing automation and data-driven customer lifecycle management.
• You have solid knowledge of data modeling, ETL and ELT processes, and data quality management.
• You have experience with CRM systems, marketing automation platforms, and complex system integrations.
• You think analytically and translate business requirements into scalable data solutions.
• You are familiar with GDPR, consent management, and data governance.
• Experience with HubSpot is a strong advantage, particularly with CRM data models, Custom Objects, workflows, segmentation, and data synchronization.
• You enjoy working in interdisciplinary teams with Marketing, CRM, Product Management, and Engineering.
• Excellent German and good English skills.

Core Competencies

Demonstrates expertise in data engineering and marketing automation, focusing on building scalable data models, ensuring data quality, and enabling data-driven decision-making. Proficient in translating marketing requirements into effective data solutions while adhering to compliance standards.

Highest-signal resume keywords

• Data Engineering
• Data Modeling
• ETL Processes
• Marketing Automation
• GDPR Compliance

ATS Optimization Keywords

Hard Skills

• Data Quality Management
• Data Integration
• Customer Lifecycle Management
• Segmentation
• KPI Development
• Reporting Frameworks
• Churn Prediction
• Data Cleansing
• Data Retention
• Consent Management

Soft Skills

• Analytical Thinking
• Interdisciplinary Collaboration

Industry Keywords

• Data Governance
• Behavioral Data
• Customer Journeys
• Tracking and Tagging
• Automated Customer Communications

Tools & Technologies

• CRM Systems
• Marketing Automation Platforms
• HubSpot