Requirements 5 years of experience in data engineering or a similar role, preferably in the financial industry Deep, hands-on knowledge of Snowflake, including data modeling, performance tuning, and cost optimization (SnowPro Core certification is a plus) Strong understanding of ETL, data warehouse, and data modeling concepts: data marts, star schema, dimensional modeling Proven experience designing and building data pipelines to curate raw data into an enterprise data wareho

Requirements Production experience building LLM-based features or agents Hands-on experience with agent development: tool calling, context management, evaluation A genuine passion for sharing knowledge and teaching other engineers Client-facing experience: consulting, pre-sales or technical account work with external stakeholders Able to translate a client's or department's business needs into scoped AI use cases with measurable outcomes Comfortable presenting to non-technica

Requirements At least one year of work experience in a similar position Basic understanding of: Computer hardware (desktops, laptops, peripherals) Operating systems (Windows, Linux/macOS) Networking fundamentals (IP addressing, LAN/WAN, WIFI, DNS, DHCP, VPN, AD, Antivirus) Software installation and troubleshooting Cloud services such as Azure, Teams, MS365 Strong problem-solving and communication skills Willingness to learn and work in a team environment Good organizational a

Requirements 5+ years of experience in software development with Python, including 3+ years building and running production GenAI/LLM applications used by real users. Deep understanding of Generative AI technologies, including transformer-based models (e.g. GPT) and their application in real-world scenarios Experience with AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or Google ADK. Solid software engineering fundamentals (clean code, version control,

Requirements 5+ years of experience in Data, Cloud, or Platform Engineering. Strong experience with Azure, Databricks, Python/PySpark, and SQL. Hands-on experience with Power BI, including semantic models, DAX, and Power Query. Experience with Terraform, Git, and CI/CD. Good understanding of Azure security, data modelling, and data governance. Strong problem-solving skills and ability to work independently. Good English communication skills. Experience with Power BI APIs, PBI

Requirements 6+ years of software engineering experience Extensive expertise in Apache Kafka and Confluent Cloud Experience with Kafka migration projects Experience with hybrid Cloud/On-Prem architectures, especially Kubernetes & Microsoft Azure Strong Strimzi knowledge Solid Java expertise Architecture and engineering of event-streaming platforms Automation and platform engineering Deep understanding of the Quarkus technology stack Fluent in English Responsibilities Provi