Hybrid Data Engineer: Azure Pipelines & Analytics

Tasks

• Design, develop, and maintain scalable data pipelines and architectures to support business analytics and decision-making processes
• Implement data integration solutions, ensuring seamless data flow across various systems and platforms
• Optimize data storage and retrieval processes to enhance system performance and efficiency
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions
• Ensure data quality, security, and compliance with relevant regulations and standards
• Automate data workflows and monitor system performance to identify and resolve issues proactively
• Participate in the evaluation and implementation of new data technologies and tools

Required skills and qualifications

• Proven experience in Azure Databricks (data engineering, pipelines, performance tuning, Python)
• Azure DevOps (Repos, Pipelines, YAML)
• Azure Key Vault
• Azure Data Factory (optional)
• Good to have knowledge within Power BI
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management abilities

Offers

• Hybrid work model – 2 days from office (Wroclaw)
• Multisport Card
• Private Healthcare
• Life insurance
• PowerYou – learning platform

Seize this opportunity to join a leading organization and contribute to impactful data solutions. Apply now to become part of a team dedicated to excellence and innovation in data engineering.