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Data Engineer (Databricks)
Czym będziesz się zajmować? Project details and scope: Build and optimize Azure and Databricks data platforms, lakehouses, and analytics solutions. Design and maintain scalable pipelines with ingestion from databases,…
MS SQL Database Administrator
Czym będziesz się zajmować? Zakres obowiązków: Administracja i utrzymanie środowisk Microsoft SQL Server 2016 i nowszych. Tworzenie i optymalizacja zapytań T-SQL, procedur składowanych oraz triggerów. Tworzenie,…
BI-аналитик
Designs and implements data architecture (warehouses) and ETL pipelines, integrates data from databases/APIs, optimizes performance, ensures data quality, and develops C# tools for DWH applications. Core tech: C#, SQL, DAX, Kafka, Airflow, SSIS, SSAS.
Senior Cloud Data Engineer
Build and maintain cloud-based data pipelines and analytics platforms using Python, Spark, SQL, and cloud services like Azure/AWS to process large-scale data for AI and analytics projects.
Data Engineer
Senior Data Engineer builds and maintains hybrid data pipelines between on-prem SQL Server and GCP, enabling analytics and AI teams with scalable, high-performance data systems.
Software Engineer – Business Intelligence
Builds and maintains BI reports, data warehouses, and ETL pipelines using SQL Server, Power BI, Tableau, and cloud tools to deliver analytics for a global furniture company.
Senior Data Scientist
Build predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
Data Scientist II
Builds and maintains large-scale analytics and reporting systems for global pricing, using SQL, SSIS/SSAS/SSRS, and visualization tools like Tableau/Power BI to deliver data-driven insights.
SQL Server Database Administrator
Role Overview We are looking for an experienced Database Administrator to join our IT Operations team. In this role, you will be responsible for the availability, performance, security, and lifecycle management of our…
Senior .NET & Azure Developer (HR systems & Payroll)
IT Corporate is a Nordic IT unit with close to 60 employees and consultants divided into teams. We are responsible for systems and IT solutions for If's corporate units such as Accounting, Cash Management,…
Manager - Reliability Engineering
About LSEG: The London Stock Exchange Group (LSEG) is a global financial markets infrastructure and data provider headquartered in London, UK. Established in 2007, though its core institution—the London Stock…
Lead Analyst - Business Data Services 4C
Lead analyst designs and deploys AI-powered customer journeys using Adobe Journey Optimizer and AEP, optimizing lifecycle marketing and cross-sell campaigns for global enterprises.
Programmer Analyst II
Develops and maintains enterprise .NET applications in C# and Angular, integrating with SQL Server and REST APIs while following Agile practices.
Senior Data Engineer
Design and build enterprise-scale data pipelines, warehouses, and ETL/ELT processes for a $66B bank, using SQL, Python, SSIS, and Azure DevOps.
Business Analyst
Analyze business data, generate reports, and automate processes using Excel, Power BI, SQL, and ETL tools to improve operational KPIs for Priority Services customers.
Software Engineer .NET Developer /Tango
Maintain and enhance enterprise .NET applications in a managed-services role, handling L3 support, troubleshooting, and development with C#, .NET Core, ASP.NET, and SQL Server.
.NET Programmer Analyst
Build and maintain backend services and RESTful APIs in .NET Core/C# to modernize a statewide tolling platform using microservices, cloud integration, and Agile practices.
Programmer Analyst
Senior Microsoft SQL Developer modernizing a state tolling platform in Azure, optimizing T-SQL, Always On AGs, and CI/CD pipelines for a microservices rewrite.
Consultant - Data Engineer + AI
Consultant designs and delivers Azure-based data and AI solutions for enterprise clients, building ETL pipelines, ML models, and GenAI workflows while aligning with Microsoft’s cloud strategy.
Senior Data Engineer
Build and maintain Azure-based data pipelines, ETL/ELT processes, and warehouses using Data Factory, SQL Server, and PySpark, while automating deployments with Azure DevOps.