Data engineer állások, munkák programozó, fejlesztő kategóriában

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Analysis of business requests and issues
• Configuration to fulfil business requirements
• Creation of programming requests and testing of corrections or new solutions
• Documentation of solutions
• User support, incident handling and standard service fulfilment

• Design of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Development of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns

• Design, develop, test, document, and deploy high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Analyze client specific requirements and define data model to support business, reporting and technical requirements

• Ügyfelekkel közvetlen egyeztetés az igények felmérésére és az ügyfél oldali adatplatform célarchitektúrájának megtervezése Microsoft Fabric alapú megoldásokra fókuszálva
• Projekt-előkészítési és értékesítés-támogatási (presales) feladatok vezető szerepű ellátása

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research...

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities
• Effort estimation
• Proposal creation
• Architecting and planning robust data models
• Architecting and planning modern data platforms

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• 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.

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

• 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

• Designing, developing, and evaluating machine learning models on complex telecom and retail data
• Transforming high-volume datasets into production-ready solutions such as churn prediction models and point-of-sale fraud models

• 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

Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection....

Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices...

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

• Supporting business and marketing decisions with data-driven solutions
• Developing predictive models such as churn scoring to drive retention offers and product propensity scoring
• Translating business needs into actionable ML and AI solutions across marketing, customer care, and network operations

• Planning, design, implementation, and maintenance of Rust components and applications
• Collaboration with the Hungarian Data Science team to build a unified SDK for AI-based models integration into Aether
• Review of requirements and contribution to feature design