Data Engineer (Azure & Databricks)
⚲ Wrocław
29 400 - 30 260 PLN netto (B2B)
Wymagania
- Databricks
- Python
- PySpark
- SQL
- Azure Data Factory
- Azure Synapse Analytics
- Informatica Intelligent Cloud Services (IICS)
Opis stanowiska
Location: Wrocław (Hybrid, 1 day/week onsite)
Contract: B2B via Experis
Start: ASAP / up to 30 days notice period
We are looking for a Data Engineer with at least 5 years of experience to join a team delivering enterprise-scale data, analytics, and AI solutions.
Requirements
• Minimum 5 years of experience in Data Engineering.
• Strong hands-on experience with:
• Databricks
• Azure Data Factory
• Azure SQL Database
• Azure Key Vault
• Azure Synapse Analytics
• Informatica Intelligent Cloud Services (IICS)
• Advanced skills in Python, PySpark, and SQL.
• Experience with Azure DevOps and CI/CD pipelines.
• Knowledge of data modeling, API integrations, and enterprise data architecture.
• Experience working in Agile/Scrum environments.
• Strong analytical and problem-solving skills.
• Fluent English.
Responsibilities
• Design, develop, and maintain end-to-end data pipelines.
• Build data integration and transformation solutions using Azure technologies and Databricks.
• Create and maintain analytical datasets and data marts.
• Support reporting, analytics, and AI initiatives.
• Manage CI/CD processes and Azure DevOps environments.
• Collaborate closely with business stakeholders and cross-functional teams.
Benefits
• Private healthcare (Medicover)
• Multisport card
• Group life insurance
• Access to e-learning platforms
• International project environment
Contract: B2B via Experis
Start: ASAP / up to 30 days notice period
We are looking for a Data Engineer with at least 5 years of experience to join a team delivering enterprise-scale data, analytics, and AI solutions.
Requirements
• Minimum 5 years of experience in Data Engineering.
• Strong hands-on experience with:
• Databricks
• Azure Data Factory
• Azure SQL Database
• Azure Key Vault
• Azure Synapse Analytics
• Informatica Intelligent Cloud Services (IICS)
• Advanced skills in Python, PySpark, and SQL.
• Experience with Azure DevOps and CI/CD pipelines.
• Knowledge of data modeling, API integrations, and enterprise data architecture.
• Experience working in Agile/Scrum environments.
• Strong analytical and problem-solving skills.
• Fluent English.
Responsibilities
• Design, develop, and maintain end-to-end data pipelines.
• Build data integration and transformation solutions using Azure technologies and Databricks.
• Create and maintain analytical datasets and data marts.
• Support reporting, analytics, and AI initiatives.
• Manage CI/CD processes and Azure DevOps environments.
• Collaborate closely with business stakeholders and cross-functional teams.
Benefits
• Private healthcare (Medicover)
• Multisport card
• Group life insurance
• Access to e-learning platforms
• International project environment
🔍 Dekoder Ogłoszenia
🔴
enterprise-scale data, analytics, and AI solutions
Projekt prawdopodobnie będzie duży i złożony, wymagający pracy z ogromnymi ilościami danych i potencjalnie z wieloma zespołami.
🔴
Minimum 5 years of experience in Data Engineering
Chociaż wymagane jest 5 lat doświadczenia, faktyczne zadania mogą być bardziej juniorskie lub seniorskie, w zależności od potrzeb projektu.
🟡
Collaborate closely with business stakeholders and cross-functional teams
Oznacza to częste interakcje z osobami nietechnicznymi, co może wymagać umiejętności tłumaczenia złożonych zagadnień technicznych na język biznesowy.
🟡
International project environment
Praca z ludźmi z różnych krajów i stref czasowych, co może oznaczać elastyczność w godzinach pracy lub konieczność dostosowania się do harmonogramów innych zespołów.
🟢
ASAP / up to 30 days notice period
Firma chce rozpocząć projekt szybko, ale daje pewną elastyczność w kwestii rozpoczęcia pracy, co jest standardowe.