Analytics állások Budapesten (programozó, fejlesztő)

• ​Design and Build: Develop robust Power BI dashboards and data models (using DAX and Power Query) to replace legacy manual reporting.
• ​Automate Workflows: Eliminate repetitive manual tasks and excel-based processes using the Power Platform (Power Automate, Power Apps), VBA, or Python.

• Drives development and implementation of squad’s analytics strategy and roadmap, incl. data source selection, data collection, transformation and standard reporting
• May extract, load or transform data from different sources either via scripting (e.g. SQL) or coding (e.g. Python)

Build and enhance web-based software solutions, implementing modern technologies and shaping the enterprise standards of the future together with the team...

• Develop and enhance cloud-native backend services using modern frameworks to support scalable scientific and AI workflows.
• Integrate three existing in-house products built on different technology stacks into a unified, cohesive platform that improves interoperability and data flow.

Build Data Pipelines: Develop and implement robust data pipelines to efficiently process and manage large volumes of data across the organization....

• Design, develop, and deploy automation solutions using RPA and scripting tools
• (VBS, Google App Script, SAP Script, Python, etc.)
• Choose the best technical solution for each business case
• Work closely with business partners, analysts, and product owners
• Gather requirements through meetings and workshops

Build and refine backend services and data pipelines Develop reliable Python workflows/services and relational database solutions for high-quality data delivery Lead technical design for complex roadmap work - data collection, analytics and distribution Improve reliability and scalability of...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Translate business requirements into clear technical plans, communicating risk/impact crisply....