Senior Data Engineer

O projekcie: At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.   This role is part of a strategic banking transformation initiative focused on modernizing approximately a dozen .NET applications and MSSQL databases into a modular, cloud-native Azure architecture. The goal is to build a modern, data-centric platform that centralizes data flows, reporting, and analytics to support enterprise decision-making and regulatory requirements. The environment includes ASP.NET MVC/Razor, legacy Angular, WPF, WinForms, Windows Services, SSIS, and modern Azure services. Sounds like your kind of challenge?  What you get in return - Flexible cooperation model – choose the form that suits you best(B2B, employment contract, etc.) - Hybrid work setup – remote days available depending on the client’s arrangements (3 days per week in Kraków office) - Collaborative team culture – work alongside experienced professionals eager to share knowledge  - Continuous development – access to training platforms and growth opportunities  - Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more  - High quality equipment – laptop and essential software provided Note: Detailed project information will be shared during the recruitment process. Wymagania: - Experience: 5+ years as a Data Engineer or similar role. - Databases: Strong hands-on experience with MS SQL Server / Azure SQL. - ETL / ELT: Proven experience designing, building, and migrating ETL/ELT using Azure Data Factory and SSIS. - Reporting: Experience with SSRS and Crystal Reports; ability to modernize legacy reporting. - Azure Data Services: Practical experience with Azure Data Factory and Azure Data Lake / ADLS Gen2. - Data Warehouse Design: Solid understanding of dimensional modelling and data warehouse concepts. - SQL & Performance: Advanced SQL skills, including complex queries and performance tuning. - Architecture & Documentation: Ability to design end-to-end data solutions and produce SDD. - Data Pipelines: Experience building enterprise-scale pipelines for batch and streaming. - Governance & Security: Knowledge of data quality, governance, and regulatory compliance. - Collaboration: Experience integrating data from multiple sources and working with backend teams. - Power BI: Familiarity with Power BI data models and performance optimization. Nice-to-have - Azure Databricks & Apache Spark for large-scale processing. - Experience migrating legacy ETL/reporting to the cloud. - Knowledge of .NET ecosystem and API integration patterns. - Experience with secure data sources (CyberArk, SFTP). - Streaming or near-real-time data processing. - CI/CD for data platforms and Infrastructure as Code (Terraform, ARM, Bicep). - Cloud cost optimization strategies. Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference. Codzienne zadania: - Design & build data pipelines: Implement and maintain enterprise-scale ETL/ELT pipelines using Azure Data Factory and related Azure services. - Migrate & modernize ETL: Upgrade legacy ETL/ELT processes (including SSIS) and migrate pipelines to the cloud. - Batch & streaming processing: Develop and operate both batch and near-real-time/streaming workflows. - Data warehouse & lake design: Design and evolve Data Warehouse and Data Lake architectures (dimensional modelling, star/snowflake schemas). - Database performance & operations: Optimize and manage MS SQL Server / Azure SQL for reliability and performance. - Reporting & integration support: Modernize reporting stacks (SSRS, Crystal Reports) and integrate data from APIs, files, and secure sources (e.g., CyberArk, SFTP). - Collaboration: Work closely with .NET/API teams to enable secure and reliable data flows. - Architecture & documentation: Contribute to solution and data architecture and maintain Solution Design Documentation (SDD). - Data quality & governance: Ensure compliance with data quality, governance, and banking security standards. - Analytics support: Assist with Power BI data models, refresh strategies, and performance tuning.