... enforce engineering standards for the team: reproducibility, experiment tracking, testing, and documentation Guide platform decisions and delivery across cloud/data ecosystems — Microsoft Fabric, Palantir Foundry, Databricks, Snowflake, and native Azure/AWS/GCP services Work with AI Architects, data engineers, and client ...
... Power BI across multiple data pillars. Migrate master reference tables into a central Master Data Management (MDM) system. Design and implement a comprehensive data quality framework throughout the data pipeline. Automate data delivery processes for manually loaded data sources. Migrate data sources to a full raw data model ...
... praktyczne doświadczenie z SAP Datasphere (Spaces, Data Builder, replication/data flows, widoki, task chains) tworzysz CDS Views na S/4HANA jako źródła danych dla Datasphere sprawnie modelujesz w HANA SQL (calculation views, duże wolumeny) i przekładasz logikę ABAP na SQL znasz migrację BW → Datasphere (BW Bridge, replikacja, ...
... meet business objectives and user expectations. - Drive continuous improvement of ERM platforms, identifying opportunities to improve functionality, efficiency, data quality, and user experience. - Coordinate with technology teams, architects, and delivery partners to support successful solution design, development, testing, ...
... (preferred) and R), business intelligence tools and cloud technologies (e.g. Azure, AWS) hands-on experience in statistical modelling, machine learning, AI and data visualization complemented by knowledge in the development and use of GenAI applications and large language models; MLOps experience is desirable strong analytical ...
Veeam is seeking a Customer Success Engineer to lead onboarding, adoption, and optimization across the Veeam Data Platform. You’ll be the primary technical owner driving long-term customer outcomes, including DR/R simulations, resilience reporting, and migrations. You’ll collaborate with CISO/CIO stakeholders, shape adoption ...
... industry by creating a comprehensive, integrated digital ecosystem based on innovative technologies and cutting-edge cybersecurity solutions. As part of our “First in Digital, Digital First” strategy, we emphasize the balance between being external innovators and internal drivers of progress—leading digital transformation ...
... offers a unique opportunity to collaborate with dynamic, cross-location teams and contribute to shaping the product vision. Senior Developer (T SQL / Java / Data Flows) Responsibilities: Perform impact analysis of changes and ensure consistency with the existing architecture Define and specify data flows, including technical ...
... audit/regulatory findings, risk and control self-assessment gaps and risk events. - Leverage existing risk management tools, such as the Firmwide Risk Event Database (FRED) and Risk and Control Self-Assessment (RCSA) database to assist in analysis of risk and control data. - Provide support and insights on industry best ...
... Data Products Drive modernization of legacy solutions into modern data platform architectures, including transition from MSBI-based reporting (SSIS, SSAS) to Data Products Contribute to technology selection and evolution of the Azure data platform, ensuring alignment with security, compliance, and enterprise architecture ...
Unleash the Power of Real-Time Data — Drive Innovation in Financial Markets! Krakow-based opportunity with hybrid work model. As a Junior Data Engineer, you will be working for our client, a leading player in the digital transformation of global financial markets through cutting-edge AI and data solutions. You will contribute ...
... more scalable, reliable, and cost-efficient. - Power AI initiatives: Lay solid data engineering foundations that enable AI data products. - Design and maintain data pipelines: Build robust processes to ingest data from multiple sources and orchestrate them efficiently. - Unlock scalable data modeling: Support Data Analysts ...
... rozwiązania napędzające rozwój jednego z największych ekosystemów convenience w Polsce. Realizujemy projekty obejmujące rozwój aplikacji Żappka, inicjatywy z obszaru data science wspierające franczyzobiorców, rozwiązania wykorzystujące generatywną sztuczną inteligencję (genAI) oraz inne innowacyjne produkty cyfrowe. Aktualnie poszukujemy ...
... using Alteryx for ETL workflows, data blending, cleansing, and automating repeatable data pipelines across multiple sources. - Experience designing and building data marts to support analytical and reporting use cases, including dimensional modeling (star/snowflake schemas), data aggregation layers, and optimizing data structures ...
... lifecycle of business-critical applications, ensuring their stability, availability and continuous improvement - Monitor and optimise application performance, data flows and reporting processes - Identify and implement opportunities for automation, process optimisation and improved data quality - Coordinate incidents, problems ...
Data Engineer O projekcie Poszukujemy doświadczonego Data Engineera, który dołączy do zespołu odpowiedzialnego za rozwój nowoczesnej platformy danych w środowisku chmurowym. Jeśli dobrze odnajdujesz się w pracy z dużymi zbiorami danych, lubisz budować skalowalne rozwiązania i posiadasz doświadczenie z nowoczesnym stackiem ...
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
... analytical workloads. Write and tune advanced SQL queries for reporting, aggregation, and data validation. Collaborate with data engineers and analysts to ensure data models meet business needs. Work with structured and semi-structured data from multiple sources. Contribute to improving data quality, performance, and maintainability. ...
... Development & Innovation: Designing, developing, and maintaining core AI/ML systems directly in production environments, as well as researching new AI methodologies., Data Processing & Automation: Employing Python and advanced SQL to process, automate, and analyze large datasets, ensuring high-quality input data., Data Management ...