Senior Data Engineer

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. 

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.

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. 

Must have

• MS SQL Server
• SQL
• ETL
• Azure Data Factory
• SSRS
• Azure Data Lake
• ADLS
• Performance tuning
• Data pipelines
• Data models
• Power BI