Sql állások, munkák it programozás, fejlesztés területen

• Design, implementation & maintenance of applications and services for our billing tracking products
• Collaboration with requirements engineers and business analysts to detail and clarify understanding and requirements

• Experience in different Data Science topics
• Independent delivery of Data Science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Designing, building and running ML workflows to build and improve our product catalog
• Building evaluation sets and validation logic that catch quality problems before customers do

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

Lead the installation, configuration, maintenance, and performance optimization ofMS SQL Server,PostgreSQL, andOracle databasesin a dynamic, enterprise-level setting, ensuring reliability and excellence at every step....

You will become part of our Finance Transformation team within our Technology Consulting practice, supporting local as well as global financial services clients across Banking, Insurance, and Wealth & Asset Management, on finance transformation initiatives and solutions aligned with the CFO...

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Ügyféligények megértése és egyeztetése
• Részletes funkcionális specifikáció készítése
• Fejlesztési folyamat támogatása
• Tesztesetek és tesztelési forgatókönyvek készítése
• Közreműködés a tesztelések végrehajtásában
• Folyamatos kapcsolattartás az üzleti területekkel
• Élesítés támogatása és koordinálása

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

• 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.

• Own local system integrations: Design, deliver and maintain API-based integrations between digital platforms and local partners.
• Ensure platform reliability: Monitor integration points, maintain technical and compliance standards.

• Mérési keretrendszer és specifikáció kidolgozása a digitális felületeken Google Analytics 4-re
• Alapszintű és haladó mérési beállítások elvégzése Google Tag Manager-ben
• Adatréteg tervezése és karbantartása fejlesztőkkel közösen

• Adatforrások integrálása a vállalat új Data Lakehouse platformján
• Adatbetöltési folyamatok fejlesztése a Data Lakehouse platformon
• Skálázható adatfeldolgozó folyamatok fejlesztése és optimalizálása
• Adattranszformációk fejlesztése és optimalizálása

• Avaloq Parameterisation - Configure and adapt Avaloq Core components based on business and technical requirements.
• Development - Develop and maintain Avaloq functionality using Avaloq Script, PL/SQL and related technologies.

Partner with Product teams to define, monitor, and investigate KPIs, and deliver deep-dive analyses that explain what is driving user behavior and product performance, translating findings into clear recommendations....

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• 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.