Data engineer core systems állások, munkák adatbázisszakértő kategóriában

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

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...

Stakeholder Collaboration, Business Understanding & KPI Generation: Partner with business stakeholders to understand their needs, implement business logic and co-create impactful KPIs...

• Support the team across the entire project lifecycle, from data exploration and feature engineering to applying machine learning techniques and supporting applications.
• Contribute to innovative solutions in financial crime prevention and credit risk assessment.

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and algorithms. Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets. Develop and support semantic...

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

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 and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning)....

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

• Design, implement and maintain payment functionalities within our core banking system Avaloq
• Develop and maintain interfaces between Avaloq and external payment systems, including anti-fraud screening systems and the Finastra payment gateway

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,...

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Design, develop, test, and ship robust, maintainable, and readable software, applications, APIs, and workflows.
• Bring in industry standards and best practices to continuously simplify the current software architecture to reduce complexity and maintenance cost.

• Support in maintaining and further developing Statista's ranking and rating databases, ensuring consistency, accuracy, and scalability
• Implement and optimize data pipelines (ETL/ELT) to automate data collection, transformation, and validation workflows

• This role reports directly to the Data & Applications Manager and will be the primary connection between key business stakeholders and our technical support team
• Collaborate with business units to translate their requirements into SAP solutions to improve operational efficiency