Senior data engineer data automation d f m állások, munkák programozó, fejlesztő kategóriában

• Data pipeline-ok tervezése, fejlesztése és karbantartása, nagy mennyiségű adat hatékony feldolgozására és tárolására
• Adattárolási struktúrák (pl. data lake, data warehouse) kialakítása és optimalizálása
• Adatpiacok (data mart) fejlesztése és üzemeltetése az üzleti igényeknek megfelelve

• Formálni a banki adatplatform jövőjét, aktív részvétellel a Confluent streaming és Databricks alapú megoldások kialakításában.
• Közreműködni a Data Product szemlélet meghonosításában, a módszertan kidolgozásától a framework implementálásáig. 

• Building and optimizing SQL and Azure Data Factory pipelines to clean, transform, and consolidate data from multiple sources.
• Supporting the ERP migration to Microsoft D365 FO by ensuring a seamless transition of the data warehouse to rely on the new system as its primary data source.

• Participate in the lifecycle of data science projects, incl. design and development of data processing and monitoring pipelinesWork with the state-of-the-art cloud infrastructure (AWS, Databricks)
• Assemble large, complex data sets to meet functional / non-functional business requirements

Design and development of Cloud/Hadoop solutions....

• Design, develop and optimize data pipelines and backend systems using Python, SQL, and Unix/Linux scripting.
• Build and maintain complex SQL solutions across Sybase and DB2, including stored procedures, functions and performance tuning of queries.

• Data Engineering fejlesztési projektek támogatása; 
• Projekt dokumentumok és információk beszerzésében, kezelésében, naprakészen tartásában való részvétel; 
• A projekthez kapcsolódó kutatómunka és fejlesztések elvégzése; 
• A projektekhez kapcsolódó prezentációk elkészítése; 

• Design, develop and optimize data pipelines and backend systems using Python, SQL, and Unix/Linux scripting.
• Build and maintain complex SQL solutions across Sybase and DB2, including stored procedures, functions and performance tuning of queries.

Tasks and responsibilities: •Maintain Tableau dashboards and upgrade their data sources to apply new database features •Migrate views in database to an updated table structure, apply backend table structure changes in the view layer •Support database cleanup and impact analysis •Collaborate with...

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

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...

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• Design, implement, and optimize data ingestion and transformation pipelines using Azure Databricks, Data Factory, and ADLS
• Apply automation to streamline and scale recurring data engineering tasks across the CDP

• Design, develop and maintain interactive Power BI reports and dashboards to support various business functions
• Implement automated reporting workflows based on predefined thresholds, alerts, and KPIs to proactively notify stakeholders of key business changes

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...

Develop a content-aware data compression method for Distributed Acoustic Sensing (DAS) data that dynamically adapts to the characteristics of the signal to maximize data reduction while preserving essential information required for downstream machine learning (ML) tasks....