Senior Data Engineer

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