Responsibilities:
• Serve as the lead network engineer for cloud WAN and cloud DMZ design, overseeing migration processes and developing both target and transition state architectures for cloud…

Responsibilities:

Design and develop scalable, reliable ETL processes using Python and DataBricks
Build and maintain data pipelines for extracting, transforming, and loading data from various sources
Take ownership of the full data engineering lifecycle, from extraction to transformation and loading
Optimize data workflows, ensuring robust error handling, monitoring, and performance tuning
Work within an agile environment, actively participating in sprint planning, stand-ups, and retrospectives
Conduct code reviews and maintain high coding standards
Develop tooling and automation scripts to improve operational efficiency
Implement comprehensive testing for data pipelines, including unit and integration tests
Integrate data sources via REST APIs and other techniques
Maintain up-to-date technical documentation and data flow diagrams

Requirements:

Proficient in Python, with a focus on clean, efficient, and maintainable code
Hands-on experience with DataBricks and cloud-based data engineering tools
Skilled in Snowflake or other cloud data warehousing platforms
Solid understanding of ETL principles, data modeling, and integration best practices
Comfortable working in agile, fast-paced, collaborative environments
Experienced with Git and version control systems
Detail-oriented with a strong problem-solving mindset
Familiar with Linux systems and REST API integrations
Advantages
Experience with data visualization tools (such as Power BI)
Knowledge of data orchestration tools like Apache Airflow
Exposure to big data frameworks including Hadoop or Spark
Background in database administration or performance optimization

Responsibilities:
• Develop large-scale distributed systems to compute and report intra-day and eod-of-day risks, PnL (Profit and Loss) and market scenarios to senior management, trading desks,…

Our client, a leading global financial institution, is looking for talented Java Developers to join their Budapest technology hub. You will work on complex, distributed, and high-performance systems that power critical areas of the financial markets, such as derivative trade clearing and global securities lending. The role offers the chance to collaborate closely with international teams and business stakeholders, delivering innovative, resilient, and scalable solutions.

The Senior IAM and Infrastructure Support Engineer is responsible for delivering high-quality support and operational excellence across the organization’s identity, access, cloud, and virtualization environments. The role emphasizes Identity and Access Management (IAM) within Microsoft Azure and related infrastructures, ensuring data security, availability, and integrity within the ITIL framework.

This strategic position combines deep technical expertise with strong process design and stakeholder engagement skills to support secure, scalable, and efficient IT infrastructure aligned with the organization’s business objectives.

Responsibilities:
-Design, develop, and optimize high-performance infrastructure for real-time trading
-Take complete ownership of projects, from design to production deployment
-Troubleshoot,…

The ERP Applications Support Specialist provides expert support for Enterprise Resource Planning solutions within the Microsoft Dynamics 365 suite and related business applications. The role ensures the availability, integrity, and security of ERP services while assisting users, optimizing workflows, and contributing to continuous improvements in system operations.

We are seeking experienced Java Developers to join one of the region’s leading financial powerhouses in a flexible hybrid work setup, offering the stability of a major enterprise combined with a forward-looking, innovation-driven IT environment. In this role, you’ll work with cutting-edge technologies such as Java 21, Spring Boot, WebFlux, and Kafka, designing and building microservices in a truly API-first approach

Our client, a leading global financial institution, is building state-of-the-art technology solutions to power the analysis and management of financial counterparty risk. Their Budapest-based technology hub is looking for a backend application developer with strong Java / Spring Boot expertise to contribute to the development of complex, distributed platforms. These systems feature rich web interfaces (HTML/JavaScript/React) connected to resilient backend services primarily written in Java, enabling users worldwide to assess and manage risk exposure.

The team works in an agile setup, with a flat structure, dedicated Scrum Masters, and daily interaction with Product Owners, fostering close collaboration and fast iteration.

Responsibilities:
• Collaborate with engineering and AI/ML teams to understand pipelines and AI service security needs
• Translate requirements into automated security policies and…

Responsibilities:
• Provide exceptional phone support by:
• Actively listening to understand customer issues
• Demonstrating empathy and a sense of urgency
• Documenting problems and…

Responsibilities:

Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes
Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes
Work with structured and unstructured data to ensure it is accessible and usable
Optimize data systems for performance and scalability
Implement data quality and data governance standards
Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions, providing data-driven insights
Contribute to the documentation and knowledge sharing within the team by creating and maintaining technical documentation and training materials
Participate in code reviews and contribute to the improvement of development processes
Contribute to the broader data architecture community through knowledge sharing and presentations
Work with structured and unstructured data to ensure it is accessible and usable
Optimize data systems for performance and scalability
Implement data quality and data governance standards
Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions, providing data-driven insights
Contribute to the documentation and knowledge sharing within the team by creating and maintaining technical documentation and training materials
Participate in code reviews and contribute to the improvement of development processes
Contribute to the broader data architecture community through knowledge sharing and presentations

Requirements:

8+ years of experience in data engineering or a related field
8+ years of experience in data engineering or a related field
Proficiency in Python
Experience with data processing frameworks such as Apache Spark or Hadoop
Knowledge of database systems (SQL and NoSQL)
Experience working with Snowflake and Databricks
Familiarity with cloud platforms (AWS, Azure) and their data services
Understanding of data modeling and data architecture principles
Experience with data warehousing concepts and technologies
Experience with message queues and streaming platforms (e.g., Kafka)
Experience with version control systems (e.g., Git)
Experience using Jupyter notebooks for data exploration, analysis, and visualization
Excellent communication and collaboration skills
Ability to work independently and as part of a geographically distributed team
Proficiency in Python
Experience with data processing frameworks such as Apache Spark or Hadoop
Knowledge of database systems (SQL and NoSQL)
Experience working with Snowflake and Databricks
Familiarity with cloud platforms (AWS, Azure) and their data services
Understanding of data modeling and data architecture principles
Experience with data warehousing concepts and technologies
Experience with message queues and streaming platforms (e.g., Kafka)
Experience with version control systems (e.g., Git)
Experience using Jupyter notebooks for data exploration, analysis, and visualization
Excellent communication and collaboration skills
Ability to work independently and as part of a geographically distributed team

Advantages:
Familiarity with data visualization tools (e.g., Tableau, Power BI)
Knowledge of data governance and security best practices (e.g., data access control, data masking)
Experience with Agile methodologies
Familiarity with data catalog and metadata management tools (e.g., Collibra)
Familiarity with CI/CD pipelines and DevOps practices