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?
responsibilities :
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.
Note: Detailed project information will be shared during the recruitment process.
requirements-expected :
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.
offered :
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
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
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
