Consulting állások XVIII. kerületben (projektmenedzsment)

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Design, develop, and maintain scalable backend services using Node.js, JavaScript, and TypeScript. Build secure and performant RESTful APIs and microservices architecture. Contribute to system architecture discussions and lead technical decision-making. Apply Test-Driven Development (TDD) and...

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...

Serve as the primary contact for assigned clients, responsible for both project delivery and commercial relationship management. Plan, schedule, and oversee all phases of projects (discovery, development, testing, deployment), ensuring quality, timeliness, and budget adherence. Proactively nurture...

Assess and clarify Customer’s functional requirements related to the system/software jointly with business consultants Develop and modify applications or part of the application, prepare related documentation Work out and develop solutions, concepts, procedures, operational method or mathematical...

Developing and maintaining data pipelines in Azure Databricks Writing transformation logic using Python and SQL Supporting data migrations and platform improvements Working within a structured, company-level Databricks framework Collaborating in a Scrum-based setup (2-week sprints, Jira, daily...

Conduct in-depth discovery sessions with clients to understand their business and technical requirements Analyze client needs and translate them into actionable technical solutions Identify client pain points and objectives, and propose effective solutions Collaborate closely with the sales team to...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Architect, build and maintain backend services and APIs using Python and web frameworks such as Flask or Django (or comparable) Design and implement RESTful APIs / microservices, ensuring clean, maintainable, and efficient code, adhering to best practices (coding standards, documentation, testing)...