Sql developer állások, munkák egyetemi végzettséggel

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage...

• Szakmai vezetés és irányítás
• Komplex ügyféligények önálló átlátása, strukturálása és végrehajtási tervvé alakítása
• Szakmai iránymutatás adása az ügyfélnek és a csapattagoknak – architekturális döntések, technológiai választások, megoldási alternatívák értékelése

• Build and own scalable data pipelines and integration solutions our data warehouse and data platform.
• Integrate and transform data from ERP, CRM, finance, and other enterprise systems.
• Ensure high standards of data quality, reliability, performance, and operational excellence.

• Location: Szeged, Hungary
• Department: IT / Application Services
• Reports To: IT Director
• Employment Type: Full Time
• Complete application-related business requests by following documented procedures and established workflows.
• Deliver requests within agreed service level targets and quality standards.

• You will develop, design and optimize logistics processes for our new location in Neuenburg
• In Supply Chain Management, you constantly work to improve existing processes, optimally implement new ones, and document them appropriately

• Complete application-related business requests by following documented procedures and established workflows.
• Deliver requests within agreed service level targets and quality standards.
• Provide first-line support for users of internally developed business applications.

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

Design and develop backend data objects and data models that provide reliable, analytics-ready data for downstream BI dashboards and reporting solutions...

Support the evaluation of private debt fund investments through qualitative and quantitative due diligence, including analysis of investment strategy, restructuring capabilities, ESG integration, historical performance, and return expectations...

• Collaborate with business stakeholders to identify technical opportunities and gather user requirements for Polarion customizations, workflows, reports, dashboards, and integrations.
• Configure, customize, and maintain Polarion ALM solutions to support engineering, quality, and compliance processes.

• Design and develop complex EUC solutions across all banking divisions
• Architect and model scalable applications / databases to support high-volume data processing
• Lead full project lifecycles, from requirements gathering to deployment and documentation

• Design and implement the credit framework for Germany: credit policy, risk appetite, underwriting criteria, decision rules and cut-offs for B2C debt consolidation lending.
• Define the target operating model for credit, including processes, roles, tooling, documentation and governance.

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

• Monitoring channel performance and driving improvement actions across frontline and supporting functions
• Establishing and maintaining regular performance review processes with sales and marketing teams
• Identifying performance gaps, analyzing root causes, and coordinating corrective actions

• Analyze current project, volume, and aggregate planning processes.
• Identify and evaluate existing data sources, interfaces, and planning methodologies.
• Research state-of-the-art approaches in forecasting, data analytics, machine learning, and artificial intelligence.