Data engineer állások Isaszegen (it programozás, fejlesztés)

• Create, update, and maintain master data records (customers, vendors, materials, pricing, etc.) in ERP systems.
• Ensure data accuracy, completeness, and compliance with company standards and policies.
• Perform regular data audits and cleansing to maintain integrity and consistency.

• Build and maintain strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities.
• Collaborate with product managers, data scientists, and engineers to translate client needs into actionable AI solutions.

• Az ügyféligények feltérképezése
• Üzleti folyamatok elemzése, dokumentálása és optimalizálása.
• Szoros együttműködés fejlesztőkkel, termékmenedzserekkel és más üzleti elemzőkkel.
• Banki projektekben igazi értéket teremteni
• Specifikációk, követelmények készítése

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,...

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....

Join a client service team and take ownership of a workstream to solve client challenges Deliver solutions that solve immediate problems and drive long-term change Uncover true challenges behind a client’s strategy and create actionable plans Work alongside clients and colleagues combining...

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...

Join a client service team for 8-10 weeks Contribute to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy Create actionable plans that drive real change Work alongside clients and McKinsey colleagues Combine research, data analysis, interviews, and...

• Technikai és üzleti követelmények összegyűjtése, elemzése és dokumentálása
• Szoros együttműködésben a szakmai területekkel és a fejlesztőcsapatokkal
• Meglévő üzleti és IT folyamatok elemzése, optimalizálási lehetőségek feltárása
• Frontend-backend integrációk áttekintése és dokumentálása

Microsoft Word alapú sablonok karbantartása, módosítása Kapcsolódó dokumentációk elkészítésében való részvétel Dokumentum sablon tesztek megtervezése és végrehajtása Ügyfelekkel való egyeztetés és kapcsolattartás...

Design various RESTful APIs and backend databases in multi region environment Contribute into targeting engine and segmentation pipelines Develop automations and tests to ensure system stability Collaborate with various Engineering and Business teams on their needs Drive innovation in Data Platform...

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

Steer and drive the high-level technology direction of Datapao, including how projects are delivered, solutions built, scaled, and technical teams enabled Oversee the technology strategy of Datapao, including key technical areas, projects, capabilities, standards, and roadmaps; align them with...

Design and deploy advanced scoring engines for Leads and Opportunities Lead the development of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to quantify marketing ROI and guide budget allocation Develop algorithmic strategies for Value-Based Bidding (VBB) and customer acquisition...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Establishing consistent product development frameworks, discovering both customer and business needs across our diverse portfolio, without sacrificing flexibility Leading the product team's evolution to full-stack product thinkers Optimizing team structures and product roadmaps to ensure the right...

Deliver complex data engineering projects individually or by leading small delivery teams Work with Apache Spark/Databricks on AWS/Azure Manage customer relationships alone or with a Project Manager Mentor more junior engineers Evaluate the quality of junior engineers' work Contribute to hiring...

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...

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,...

Analyze and improve workflows to increase efficiency Identify gaps and propose practical solutions Collaborate with business users to define requirements and use cases Facilitate workshops and foster stakeholder collaboration Prepare clear documentation for process improvements Use data insights to...