Job description
Project overview
Opis projektu:
End-to-end data engineering assignment in modern cloud architectures, connecting business needs with technical solutions. Work in agile product teams on MDM data products, data-flow optimization and migration from legacy systems to cloud-native Azure and Databricks platforms.
The assignment covers the full data product lifecycle, from design and ingestion through delivery of high-quality master data for analytics and downstream consumption.
Twój zakres obowiązków:
Nasze wymagania:
To oferujemy:
- Co-drive solution design with Business Analysts, defining target architectures, data models, flows, and integration patterns aligned with UDP principles (cloud-native, scalable, secure).
- Handle data ingestion, cleansing, standardization, transformation, and API provisioning from source systems (e.g., master data customer/product).
- Optimize existing ETL/ELT flows, build infrastructure for extraction/loading from diverse sources, and modernize legacy solutions.
- Assess feasibility, risks, dependencies; create implementation-ready designs, documentation, diagrams, and CI/CD automation.
- Collaborate with stakeholders, data stewards, architects, and teams to implement non-functional requirements (quality, security, stability) and support data-driven services.
- Evaluate/improve analytics solutions, integrate systems, and communicate technical topics to business audiences.
- Strong end-to-end experience in analytics platforms, data products, data warehouses (Star schema, Data Vault, multidimensional, tabular), and modern architectures.
- Expert in SQL/T-SQL, Python, Apache Spark, Databricks, Delta Lake, Azure Data Factory; batch/incremental/CDC/event-driven patterns.
- Data modeling (logical/physical), ETL/ELT design (high-performing SSIS packages, script components in C#), API development/maintenance.
- Cloud-native (Azure platforms), legacy modernization (SSIS to cloud), technology trade-offs for storage/processing.
- Proactive self-starter with analytical/problem-solving skills, task management, and ambition to grow into Data/Analytics Architect.
- Agile methodology, JQL/Confluence experience; clear documentation and business communication in English.
- Ubezpieczenie na życie
- Spotkania integracyjne
- 3 days at the office
Project details
- Start: flexible
- Remote: hybrid
- Location: Wroclaw, PL
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