E-learning állások XIV. kerületben (adatbázisszakértő)

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Translate client needs into technical solutions 
• Design data-driven systems using Databricks and Azure 
• Build ingestion and transformation pipelines using SQL, Python, dbt 
• Automate data workflows 
• Participate in sprint planning and deliver reliable solutions 

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• What you will do:
• 1. Application Support / Business Continuity
• • Provide day-to-day L2-L3 support in SAP ECC (temporary) and S/4HANA
• • Resolve technical incidents in a close cooperation with internal and external partners
• • Serve as a technical and functional consultant for business stakeholders

Design, develop, and maintain scalable data pipelines and systems to support data integration and analytics Establish best practices for data management, including data quality, data governance, and data security Collaborate with stakeholders to understand data requirements and deliver actionable...

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...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity Validate data extraction, transformation and loading processes for accuracy, completeness, consistency, schema integrity, referential...

Implementation and maintenance of large-scale data pipelines and Azure/Databricks data platform Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling Management...

Exploration, profiling, cleansing, and preprocessing of data for high-quality datasets Design and management of workflows for storing and retrieving vectorised documents to support AI-enabled use cases Application of embedding models to build AI-driven solutions Leveraging modern AI and...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

Delivery of complex data engineering projects across industries Leading small delivery teams Management of customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...