Data állások Budapesten (adatbázisszakértő)

Designing and developing platform to fulfil business needs Design new data pipelines Maintain platforms hosted on data streams for batch-loading and real-time visualisations Maintaining and evolving existing data platform Follow and mentor engineers on data modelling following standards e.g. Inmon,...

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS consultancy to...

Coordinating data & analytics project deliveries Coordinating the work of other team members Leading architecture definition and data modelling Participating in implementation work Ensuring solutions are created with high quality Customer communication and demand management Driving the project to...

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...

Maintaining and evolving Data Structures Build new ETL flows and maintain/improve existing ones Design new data structures and data modelling concepts Ensure data quality by verifying data consistency and accuracy Create data validation methods Write, optimize, and maintain stored procedures...

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...

Act as a consultant and technical expert on the Salesforce platform by providing support to stakeholders and users. Closely collaborate with experts from other areas to leverage on the Salesforce technologies through integrations with other solutions. Setting up new business units in SFMC that...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

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,...

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, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models). Implement various machine learning solutions addressing computer vision and NLP use cases. Work with Large Language Models (LLMs), perform prompt engineering tasks. Design and implement data...

Build and refine backend services and data pipelines Develop reliable Python workflows/services and relational database solutions for high-quality data delivery Lead technical design for complex roadmap work-data collection, analytics and distribution Improve reliability and scalability of...