Mid-Level Data Engineer and Data Modeler – RDBMS and NoSQL

Quick Facts

• Krakow-based opportunity with a hybrid work model.

Description

As a Mid-Level Data Engineer and Data Modeler, you will design, implement, and optimize data architectures enabling enterprise-wide data management, analytics, and AI-driven insights. You will implement business and IT data requirements across data platforms (application, relational, dimensional, and NoSQL), develop conceptual/logical/physical data models, and enforce data modeling standards. You will also support data sourcing, automated data loads, security, and analytics visualizations, while performing hands-on modeling, design, configuration, performance tuning, and proof of concept activities.

Responsibilities

• Implement business and IT data requirements through innovative data strategies across all data platforms (application, relational, dimensional, and NoSQL)
• Collaborate with business and solution teams to develop, build, and refine conceptual, logical, and physical data models
• Define and enforce data modeling standards, best practices, and tools supporting enterprise data architecture
• Identify architecture components, infrastructure, and interfaces supporting data sourcing, automated data loads, security, and analytics visualizations
• Perform hands-on modeling, design, configuration, performance tuning, and proof of concept activities
• Proactively address project challenges, articulate issues, and reduce delivery risks through independent problem-solving
• Oversee data architecture expansion and optimize query performance by applying best practices

Requirements

• 3+ years of experience in relational, dimensional, and/or NoSQL data platforms, including ETL and data ingestion protocols
• Strong knowledge of metadata management, data modeling, and tools such as Erwin or Visual Paradigm
• Excellent communication skills with good command of English (Communicative level)
• Experience in team collaboration, management, and presentation

Benefits

• Hybrid work model

Qualifications

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

Strong plus (optional)

• Experience with MongoDB
• Knowledge of data warehouse, data lake, and enterprise big data platforms in multi-data-center environments

Language

• English – Good command of spoken and written communication