Our client is an innovative company providing business solutions for the industrial, office, and hospitality sectors, and is currently seeking an experienced Data Engineer

Our client is an innovative company providing business solutions for the industrial, office, and hospitality sectors, and is currently seeking an experienced Solution Architect.

Responsibilities
Deploy and manage Azure DevOps cloud-based infrastructure with Infrastructure as Code tools
Supporting Software development in Azure DevOps environments
Design, build and support…

We are looking for a passionate and skilled Android Developer to join our growing team! If you thrive in a collaborative, agile environment and love building clean, scalable solutions using modern…

Our client is leading provider in B2B omnichannel commerce for business equipment .

Responsibilities:

Provide operational support for the firm’s Microsoft Intune infrastructure within the Mobile Endpoint Squad.
Perform incident diagnosis, troubleshooting, and escalation for…

Responsibilities
Create test cases based on specifications
Participate in the development of test plans and documentation of testing processes
Evaluate test results and prepare detailed test…

Ügyfelünk, egy nemzetközi hátterű, banki szoftverfejlesztéssel foglalkozó vállalat, amely évtizedek óta biztosít IT megoldásokat pénzintézetek számára Szoftvertesztelő kollégát keres. Fejlesztéseik naponta több millió ügyfél számára teszik elérhetővé a modern banki szolgáltatásokat.

Requirements
Experience in web and mobile frontend/backend development
Relevant professional experience in a similar IT field (banking, insurance)
At least 12 months of professional experience in…

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,…