4 Analytics Engineering Jobs in Südtirol
Vollzeit | befristet | Praktikum
What awaits you:
- Enhance Market Analytics campaigns and data projects
- Develop and maintain databases and data systems
- Write and optimize SQL queries for data retrieval and manipulation
- Develop Python scripts for data cleaning, containerization, analysis, and visualization
- Work with Microsoft Fabric for data integration and analytics workflows
- Collaborate with senior team members on various projects
- Participate in the end-to-end analytics engineering process, from data extraction to reporting
- Ensure data quality and improve existing processes and reports
- Assist in digitalization and automation of processes
- Contribute to defining and realizing new data products
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YOUR RESPONSIBILITIES
- Support the development of our data warehouse / lakehouse, focusing on analytics-ready data models
- Design, build, and maintain ETL/ELT transformations, data pipelines and semantic models for structured and semi-structured data
- Ensure data quality, metric consistency, performance optimization, and governed access for analytics use cases
- Contribute to analytics engineering best practices, documentation, and data cataloguing to enable self-service analytics
- Collaborate on near-real-time / streaming data models to support operational analytics
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Vollzeit
Bolzano, Milan
07.02.2026
Bolzano, Milan
Brands of Oberalp-Group
- Design and implement data pipelines to extract, transform, and load data from various sources, including databases, cloud storage, and APIs.
- Maintain and improve existing data pipelines and models, ensuring they are efficient and reliable.
- Support IT and business colleagues in Business Intelligence and Advanced Analytics modelling.
- Collaborate with data scientists and analysts to support data-driven decision making.
- Identify opportunities to optimize data pipelines and suggest new approaches to improve efficiency and reliability.
- Write and maintain documentation for data pipelines and processes.
- Implement CI/CD processes for data pipelines and work with DevOps teams to ensure smooth deployment and operation (DataOps).
- Drive system problem resolution and root cause analysis
- Ensure and maintain integrity of code base during concurrent development cycles
- Collaborate with experts in a variety of technologies to come up with the best overall solutions
- Collaborate with cross functional team to resolve data quality and operational issues
- Identify opportunities for team standardization in coding, deployments, documentation, and other related areas and create said standards
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YOUR RESPONSIBILITIES
- Design, develop and implement large-scale projects for cloud-based systems
- Planning, definition of requirements, development, testing, and quality assurance of the software development lifecycle for AWS solutions
- Identify, analyse and resolve infrastructure troubleshoot incidents and application deployment issues and implement preventative measures
- Provide guidance on the implementation of new cloud-based initiatives, through appropriate training
- Modernise and consolidate IT infrastructure and implement the best cloud-based solutions for the company, to ensure continued impact on growth
- Customise AWS applications to make the business more secure and efficient
- Monitoring the migration process of the new applications to the cloud so that it is seamless and in line with the organisation's operations
- Definition and documentation of the best practices and strategies for application deployment and infrastructure maintenance
- Ensure application and cloud environment performance, maintaining high standards and complying with company security policies
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