PROJECT INFORMATION:
Industry: Marine infrastructure
Client: from Denmark
Remote work: yes
Project language: English
Business trips: no
Project length: 12 months contract + option for prolongations
Start: Flexible / at latest beginning of October 2025
Assignment type: B2B
Remuneration: 160-200 PLN/h for a senior (depending on experience)
Headcounts: 4
FTE: 100%
Summary: The primary goal of this position is to support digital transformation efforts by migrating from a legacy data platform to a new cloud-based BI platform (from Databricks to Fabric), enabling enhanced data management and analytics capabilities.
Responsibilities:
Assist in the migration of data from a legacy platform to a new cloud-based BI platform.
Implement large-scale enterprise data solutions and centralized cross-domain data models.
Apply layered/medallion data architectures and dimensional modeling techniques.
Utilize semantic modeling principles and create tabular models for data analysis.
Ensure scalability, maintainability, and documentation of data models.
Analyze business needs to align technical designs with requirements.
Employ DevOps best practices in version control, CI/CD, and monitoring.
Manage and execute tasks independently to meet project deadlines.
Adopt agile methodologies to break down and track project work.
Key Requirements:
5+ years of experience in data warehousing, BI, or data engineering.
Experience in implementing large-scale enterprise data solutions.
Strong understanding of layered and dimensional modeling techniques.
Hands-on experience with semantic and tabular models.
Proficiency in DevOps principles, including version control and CI/CD.
Experience with Fabric, Power BI, (Py)spark, Azure DevOps, Git.
Nice to Have:
Familiarity with data normalization techniques.
Experience with agile delivery methods.
Understanding of best practices in data modeling and documentation.
We offer:
Long-term cooperation.
Transparently built relations based on trust and fair play.
Co-financed benefits: Medicover card, Multisport card.
Net per hour - B2B
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