Hybrid Data Engineer: Azure Pipelines & Analytics
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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.