Senior Data Engineer Data & Analytics

We want you to:

• Design, build, and maintain scalable data pipelines and workflows using Microsoft Fabric, including Data Factory, Lakehouse, and Synapse Pipelines.
• Use Apache Spark in Microsoft Fabric Notebooks for large-scale data processing, cleansing, and transformation tasks.
• Develop efficient SQL-based solutions for data modeling, data warehousing, and analytics layers.
• Leverage Python and PySpark to automate data flows, integrate sources, and apply advanced data logic.
• Collaborate with analysts, engineers, and stakeholders to deliver clean, trustworthy datasets to reporting and ML pipelines.
• Implement and monitor ETL/ELT processes for batch and near-real-time use cases across diverse data sources.
• Optimize performance of queries and transformations in Spark and SQL environments.
• Support Lakehouse Architecture within Microsoft Fabric and ensure best practices in data lake management.
• Assist in establishing data quality, data lineage, and governance processes across the data stack.
• Act as a subject matter expert on data workflows within the Microsoft ecosystem, helping to guide best practices across teams.

What we offer:

• Work within a dynamic international team of experts
• Excellent opportunity for personal and professional development
• Comfortable office and flexible working hours
• Ability to work with modern technologies
• Huge catalogue of educational programs, the possibility of training and certification at the expense of company
• 20 working days of vacation per year
• Life and disability insurance
• Health insurance
• Big free parking

• Helping to better define their thinking, including shaping their product organization and clarifying and communicating their product strategy.  
• Developing their people by delivering exemplary training in product management, modern ways of working, and leadership.  
• Delivering their outcomes by building customer-centric products and customer experiences.