Data Engineer

Quick Facts

• Role: Data Engineer (B2B)

Description

You will design, build, and optimize data structures supporting Real-Time Decisioning, recommendation engines, and Next Best Action/Next Best Activity capabilities in a CRM-focused environment. You will create customer 360 (Customer Golden Record) and reporting-oriented data structures, implement data quality/validation mechanisms, and design interfaces for integrations with systems outside the CRM ecosystem. You will also build and maintain stable ETL/ELT pipelines (batch and event-triggered) that feed CRM campaigns.

Responsibilities

• Design, build, and optimize data structures for real-time decisioning, recommendation engines, and Next Best Action/Next Best Activity
• Create optimized structures for a 360-degree customer view (Customer Golden Record)
• Build optimized structures for reporting
• Design and implement interfaces/connection layers to systems outside the CRM ecosystem (in cooperation with bank teams)
• Implement data quality control and data validation mechanisms
• Integrate analytics systems with operational systems (e.g., linking decisioning/recommendation engines with Campaign Management platforms)
• Build and maintain stable ETL/ELT pipelines feeding CRM campaigns (batch and event-triggered)

Requirements

• Minimum 4–6 years of Data Engineer experience, preferably in high-data-scale environments
• Experience designing and modeling data structures (data warehouses, Data Lakes) for advanced analytics and Real-Time/Near Real-Time systems
• Experience handling very large data volumes
• Ability to build optimal structures for Customer 360 (Customer Golden Record), behavioral aggregates, and model features (Feature Stores)
• Practical experience integrating analytical systems with operational platforms
• Experience building and maintaining reliable ETL/ELT data flows powering CRM campaigns (batch and event-driven/triggered)
• Knowledge of CRM data specifics, including marketing consents, contact history, and opt-outs
• Proficiency in SQL and experience optimizing queries
• Practical experience with cloud platforms, with a focus on Google Cloud
• Experience with Big Data technologies for large-scale processing
• Practical knowledge of modern analytical data storage formats
• Experience with workflow/process orchestration tools
• Familiarity with Agile/Scrum methods
• Nice to have: migration experience and knowledge of CRM solution architectures (Pega, Salesforce, SAS, Adobe)

Benefits

• B2B cooperation