Mid-Level Data Engineer and Data Modeler – RDBMS and NoSQL
Summary
Design and optimize enterprise data architectures, build relational and NoSQL models, and implement ETL pipelines to support analytics and AI insights.
Unleash Data Innovation — Shape the Future of Enterprise Data Architecture!
Krakow-based opportunity with hybrid work model
As a Mid-Level Data Engineer and Data Modeler, you will be working for our client, a global leader supporting diverse businesses and functions across regions. In this role, you will contribute to designing, implementing, and optimizing data architectures that enable enterprise-wide data management, analytics, and AI-driven insights. Join us to drive innovation and resilience in enterprise data solutions.
Your main responsibilities:
- Implement business and IT data requirements through innovative data strategies across all data platforms (application, relational, dimensional, and NoSQL).
- Work closely 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.
- Engage in 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.
You’re ideal for this role if you have:
- 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.
It is a strong plus if you have: (optional)
- Experience with MongoDB.
- Knowledge of data warehouse, data lake, and enterprise big data platforms in multi-data-center environments.
Language required for the role:
- English – Good command of spoken and written communication.
Eligibility for the role:
- Only candidates with an existing legal right to work in the European Union will be considered for this role.
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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.