Data engineer core systems állások, munkák angol nyelvtudással

• Vállalati hitel-előterjesztések kockázati szempontú értékelésében és véleményezésében.
• Az előterjesztések döntéshozók számára történő előkészítésében.
• A hiteljóváhagyási területet is érintő projektekben.

A projektek során lehetőséged lesz ügyféloldali pénzügyi folyamatokat megismerni, felmérni, optimalizálni, ezekre technológiai megoldásokat specifikálni és konfigurálni; ...

Managing the end-to-end Treasury Trade Operations activities while ensuring adherence to market obligations, to policies and procedures to deliver safe and compliant execution of treasury trades, operational excellence, and compliance to financial markets and internal bp requirements....

Leading a team of liquidity specialists (cash managers and cash forecasters) and partner seamlessly with Treasury senior management to deliver Liquidity risk management while ensuring adherence to policies and procedures to deliver highly time-critical operations and compliance....

A projektek során, amibe bevonásra kerülsz lehetőséged lesz ügyféloldali pénzügyi folyamatokat megismerni, felmérni, optimalizálni, ezekre pénzügyi rendszereket specifikálni és konfigurálni; ...

• Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders.
• Data Mart Infrastructure: Build and maintain a robust data mart infrastructure within AWS Redshift to support reporting needs.

GEA Group is seeking a motivated, hands-on DATA ENGINEER (F/M/D) to join our global data platform team within our Enterprise IT organization at our headquarters in Düsseldorf. In this role, you will play a key part in designing, building, and optimizing data pipelines that enable advanced analytics...

• Closely collaborating with data analysts, analytics engineers and other consumers of Tourlane data to maintain and incrementally improve our hosted data services
• Improving and extending our existing data ELT processes, focusing on our ‘bronze' and ‘silver' layer within our data architecture

• 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 and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

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

As a Group Lead Engineer - Data Security & Governance, you will play a key role in ensuring Octapharma's data integrity, security, and compliance across all digital platforms. You will design and maintain data classification and protection strategies, developing frameworks that categorize data...

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...

• Set the vision and lead the development of our core behaviour change systems features like goal-setting, micro habits, and intelligent feedback.
• Build and coach two product squads (with initial direct line management).

• 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.

• Acting as the primary focal point for customer communication, building strong relationships and ensuring clear alignment.
• Ensuring projects are properly set up with clear scope, timelines, and resources.
• Guaranteeing the timely, budget-conscious, and high-quality delivery of all project deliverables.

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....