Data állások XII. kerületben (it programozás, fejlesztés)

• Master data üzleti folyamatok elemzése, tervezése és optimalizálása az egyes üzletágakban,
• Megoldások implementálása és továbbfejlesztése, beleértve a testreszabási feladatokat,
• Rendszertesztek végrehajtása, valamint részvétel a hibák elemzésében és elhárításában,

• 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

• 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

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

Design and own end-to-end solution architecture across distributed systems and cloud environments Translate business requirements into scalable technical solutions with clear articulation of trade-offs Define and drive non-functional requirements including performance, scalability, security,...

Writing reusable, testable, and efficient code mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Integration of data storage solutions Handling security and data protection professionally and precisely Collaborative work to...

Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud Providing mentoring and technical support to junior and medium teammates Acting as a trusted advisor to clients Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Architecting complex AWS infrastructures and zero-day compliant landing zones Understanding customers’ business problems and providing technology consulting to identify the best-fit solution Owning the end-to-end solution as a key decision-maker and driving the delivery team Describing...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Designing and building AWS infrastructure and landing zones Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation Building CI/CD pipelines Leading migrations of customer workloads from on-premises, GCP, Azure, or Heroku to AWS Reviewing and remediating...

Writing reusable, testable, and efficient code mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Integration of data storage solutions Handling security and data protection professionally and precisely Collaborative work to...

• 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.

Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers Design and implement batch and...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

Outbound and inbound lead generation campaigns execution through HubSpot and LinkedIn Sales Navigator Research and identification of potential clients in target industries such as IT services, fintech, manufacturing, and enterprise transformation Creation and automation of personalized email...

• 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.

• Monitor and control IT project budgets from initial request through completion, ensuring financial adherence and transparency
• Develop and maintain KPIs and performance dashboards to evaluate departmental effectiveness and identify improvement opportunities

• A társterületek szakmai támogatása és együttműködés a kapcsolódó szakterületekkel.
• Részvétel az informatikai stratégia kialakításában és a stratégiaalkotási folyamatokban.
• Technológiai információk és javaslatok biztosítása az üzleti döntések támogatására.