Sql állások, munkák XIV. kerületben

• 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

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...

Line management, coaching, and career development for a team of Full-Stack Engineers Performance management and professional growth fostering Providing hands-on technical leadership as Solutions Architect and technical lead on cloud-native application development projects Owning the technical...

Understanding business requirements Preparation and reconciliation of IT Specifications (System Design, Logical Design) Cooperation with developer and testing team Participation in bug analysis Participation in IT & Business testing Active participation in change management Preparation of...

Preparation of Business Concept and Business Strategy Review, analysis and evaluation of business systems, user requirements and processes Definition of business goals and KPIs Cooperation with developer and testing team Participation in User Acceptance Testing Support of Project management with...

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...

Preparation of Business Concept and Business Strategy Review, analysis and evaluation of business systems, user requirements and processes Definition of business goals and KPIs Cooperation with developer and testing team Participation in User Acceptance Testing Support of Project management with...

• Az adatbázis- és adatfolyam-fejlesztésekhez tartozó üzleti igények elemzése, valamint a technikai koncepciótervek elkészítésének vezetése
• Az elkészült specifikációk alapján komplex adatmodellek tervezése, az üzleti szempontrendszer és logikák implementálása

• Önkormányzati és közintézményi ügyfelek főkönyvi könyvelése (Forrás SQL, ASP, Ecostat vagy hasonló rendszerben)
• Havi, negyedéves és éves költségvetési és számviteli adatszolgáltatások összeállítása (KGR-K11 rendszer)
• ÁFA-bevallások kezelése közszféra-specifikumok figyelembevételével

• Development and optimization of Microsoft Dynamics 365 Finance & Operations with a focus on Finance processes
• Gathering and evaluating stakeholder requirements in close collaboration with functional experts, development teams, and project management

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...

Development and maintenance of scalable web applications using Angular or React Building and optimization of RESTful APIs and microservices using Node.js, Java, or .NET Definition and management of cloud infrastructure using Infrastructure as Code such as Terraform or OpenTofu Working with...

Replacement and continuous modernization of legacy systems using a cutting-edge tech stack Design, development, and maintenance of scalable back-end solutions with .NET 8/9 and ASP.NET Core Implementation of efficient and optimized data access strategies with MS SQL and Entity Framework Core...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...

• 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.

• 7/24 -es szolgáltatás biztosítása (beosztás szerint, 2 műszakban)
• Rendszer- és hálózatmonitorozás
• IT infrastruktúra folyamatos monitorozása különböző monitoring eszközök és platformok használatával.
• Figyelmeztetések és riasztások kezelése, problémák azonosítása és eszkalálása a megfelelő csapatoknak.

Management of Technology ServiceNow queue ensuring adherence to service level response and resolution requirements Service request support including end-to-end management of L1-L3 incidents with internal and vendor resources Development of ServiceNow reporting including service level metrics...

Support of daily data production workflows across multiple asset classes Performance of quality assurance checks on incoming vendor data and internally generated analytics Investigation of data quality issues such as pricing discrepancies, missing data, and analytical outliers Maintenance support...

Dashboard development for sustainability data visualization Data integration from internal databases, external APIs, and third-party platforms Client reporting collaboration with sustainability team Data analysis to identify trends, patterns, and insights Quality assurance of data in dashboards and...