Senior Data Engineer
Primary stack
Job description
About the Position
We're seeking a Senior Data Engineer with advanced Azure Databricks skills to build and improve data pipelines on Azure environments.
Responsibilities
- Provide data in the appropriate format, granularity, and accuracy to the platform and end users
- Use modern data preparation and integration tools
- Implement and improve ETL workflows
- Collaborate with cross-functional agile and international teams to deliver new product objectives
Requirements
- Minimum 4 years of experience in Data Engineering
- Advanced Azure Databricks skills, including Unity Catalog, workflows, Python, and Spark/PySpark
- Experience with Azure Data Factory
- Advanced MSSQL/T-SQL and SQL
- Working knowledge of Power BI
Nice to Have
- ETL development with SSIS
We Offer
- Opportunity to work in cross-functional agile and international teams and contribute to continuous experimentation and product delivery
About the Company
Avenga is a leading technology company that provides innovative solutions and services to clients worldwide. We are committed to excellence and continuous improvement.
Location
- City: Wrocław
- Country: Poland
- Work Location Type: On-site
Salary
- Range: 20,000 - 23,500 PLN/month
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Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce
About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.
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