... Support metadata management : lineage, definitions, classifications, retention, and usage documentation in data catalog tools. - Ensure compliance and responsible data use by applying privacy/security classifications (e.g., PII), access controls, and audit-ready documentation. - Influence upstream processes (data entry, standards, ...
... individual(s) in the role of Data Modelling will be responsible for modelling data within specific Businesses, Functions and/or Geographies and will work with the Data CIOs and Data Officers and their respective teams as needed. The Role The data modeler designs, implements, and documents data architectures and data models for ...
... maintaining data pipelines using ETL and/or ELT approaches, with the ability to reason about trade-offs rather than defaulting to a single pattern understanding of data pipeline reliability concepts, including idempotency, backfills, and handling late or corrected data ability to structure data systems into clear layers (e.g. ...
... overall platform design, ensuring reliability, low latency, and smooth integration with product features. Requirements Must-haves: 7+ years of experience in Data Science designing robust end-to-end data workflows. At least 4 years of specific experience in forecasting techniques. Expert level in Python, Docker and cloud ...
... (on-prem & cloud), SAP Datasphere, and SAP Analytics Cloud (analytics & planning). - Experience with data integration patterns, ETL/ELT, semantic layers, master data management, and data governance. - Working knowledge of Databricks, Data Lake architectures and modern data stacks is a strong plus. - Experience with SAP Business ...
... Python Data Engineer – Market Microstructure Analytics Location & Work Model: Wrocław-based opportunity with on-site work (full-time) Introduction: As a Python Data Engineer, you will be working at the intersection of trading infrastructure and market microstructure. You will focus on developing robust data pipelines, analytical ...
... - Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: Job Family Group: Data Governance Job Family: Data Governance Foundation Time Type: Full time Primary Location Full Time Salary Range: 151920,00zł - 258680,00zł Most Relevant Skills Data Governance, Data Management, ...
... 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, ...
... Support metadata management: lineage, definitions, classifications, retention, and usage documentation in data catalog tools. - Ensure compliance and responsible data use by applying privacy/security classifications (e.g., PII), access controls, and audit-ready documentation. - Influence upstream processes(data entry, standards, ...
... ASAP Project scope: Build and optimize modern data platforms on Azure and Databricks Design, develop, and maintain scalable data pipelines Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
We are looking for a passionate Data Scientist who is eager to make an impact on their career and take on a new challenge! P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, ...
... 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 ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
... Responsibilities: Architect the Metadata Strategy: Define and lead the evolution of our Active Metadata framework within our Data Lakehouse platform. Enhance Data Discoverability: Design and implement patterns that make data easily searchable and understandable across the enterprise, utilizing tools like Databricks Genie ...
... 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, ...
... 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 ...
... challenges and drive continuous improvement initiatives through automation and process optimization. Stay current with emerging technologies and industry trends in Data Engineering, DevOps, Cloud Platforms, and AI-powered development. Qualifications Experience working in Data Engineering, Platform Engineering, DevOps Engineering, ...
... looking for a Data Governance Specialist / Data Steward to support enterprise-wide data governance initiatives. You do not need to have held the formal title of “Data Steward”, but you should have relevant experience in data governance, data management, metadata management, MDM or data quality. Your tasks Maintain and improve ...