Adatbázisszakértő állások, munkák VII. kerületben

Design and build scalable data pipelines that support AI-enabled digital experiences, personalization, and marketing automation. Leverage AI-driven development and testing tools to increase engineering quality, speed, and reliability. Contribute to ongoing platform modernization efforts across...

Build and maintain advanced VBA solutions, including Excel add-ins used by external clients Develop and support Python-based automations for reporting, data processing, and email drafting Design and manage Power Automate workflows; explore opportunities to leverage Copilot/AI agents Utilize...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable,...

Design various RESTful APIs and backend databases in multi region environment. Contribute into targeting engine and segmentation pipelines. Develop automations and tests to ensure system stability. Collaborate with various Engineering and Business teams on their needs. Drive innovation in Data...

Conducts feasibility studies and assists in determining best possible technical solutions. Identify business process/situations that could be improved with ERP or peripheral solutions. Troubleshoot, analyse and fix performance related issues, also further develop overall Performance Benchmarking...

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 Responsible for customer communication and demand management Driving...

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...

Design, implement and enhance data solutions for customer organizations Implementation of data integrations (e.g. load data from operative systems like ERP or CRM) Development of data platform / data warehouse in cloud platforms (e.g. data transformation and aggregation) Implementing...

Design predictive models Conduct large-scale experiments Uncover insights that inform decision-making Define and develop ontologies and knowledge graphs to connect and contextualize enterprise data Establish data standards and maintain data quality Operationalize models and graph services at scale...

Creation of Python code, tests, and modification of GitHub Action CI/CD pipelines Working with AWS-based infrastructure and Docker containers Combining software and data engineering skills to deploy, debug, and run systems Delivering and scaling AI solutions embedded in cross-functional teams...

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...

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...

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,...

Organize meetings and follow up tasks Configure and test data migration Create and update documentation Support the IT master data team to keep current processes related to engineering changes, material master with variant management, bill of material, etc. running in a central SAP S/4 HANA system...

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...

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...

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...