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• Design and implement data fabric architecture across heterogeneous data sources and platforms
• Develop scalable ETL/ELT pipelines for batch and real-time data integration
• Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Meglévő rendszer továbbfejlesztése
• Új funkciók készítése
• Hibák javítása
• Régebbi részek refaktorálása
• Adatbázis kezelése
• Backend üzleti logika fejlesztése
• Webes felület fejlesztése

• Operate, govern, secure, and continuously improve the Azure Databricks platform, ensuring reliability, scalability, security, and cost efficiency.
• Manage Databricks workspaces, environments, account-level settings, identities, and platform access controls.

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Design and development of GIS-based solutions, web applications, dashboards, and reporting solutions using Esri technologies
• Analysis and optimization of existing GIS processes focusing on scalability, data quality, and operational efficiency

ABOUT THE ROLE Our data estate combines modern cloud platforms (Snowflake, Databricks, Microsoft Fabric on Azure, Power BI) with on-prem SQL Server databases we are modernizing. Each platform has an expert domain architect. What we need now is the architect who makes them work together as one...

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

• 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

• Implementation and support of VB.NET based software solutions
• Participation in the run and maintain team for MES software

• Implementation of end-to-end analytics and dynamic visualizations in Tableau, ThoughtSpot, SAP Analytics Cloud, or equivalent enterprise BI platforms
• Preparation, transformation, and modeling of data using SQL, Python, or dbt leveraging enterprise cloud environments like Snowflake and Microsoft Azure

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks