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Builds and maintains AI/ML systems and infrastructure for a large bank, using Python, ML frameworks, and cloud platforms while integrating enterprise-approved AI-assisted development tools.
The Data Engineer will design and optimize big data processing pipelines and search applications using Quantexa software, Apache Spark, Scala, and Elasticsearch. The role involves collaborating with cross-functional teams to implement data solutions on the OpenShift Container Platform within a financial compliance context.
The Group Data Engineer I will lead the design and implementation of scalable, cloud-based data platforms, including data lakes and warehouses, while ensuring data governance and security. The role involves architecting end-to-end data pipelines, mentoring team members, and collaborating across functions to support advanced analytics and AI initiatives.
The VP Lead Data Engineer will design and manage a centralized Snowflake-based data platform for the Corporate & Investment Bank, focusing on scalable data pipelines and AI-enabled controls. The role involves leading technical teams, integrating data from multiple systems, and ensuring high data quality for enterprise reporting.
Data Management Manager - London (Hybrid) - Databricks - Snowflake - SQL - Python - Up to £75,000 Are you looking to accelerate your career within Data Management, Data Governance and Data Transformation? We're…
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Sr. Data Engineer on Slack's Enterprise team at Salesforce, designing and scaling batch and real-time data pipelines, building scalable data models, and contributing to the GovSlack initiative. Core technologies include SQL, Python, Airflow, and data warehouse/OLAP environments.
The Lead Analyst for Enterprise Data & AI Governance will drive the strategy, adoption, and governance of AI and advanced analytics initiatives across AES. This role involves managing the full AI product lifecycle and partnering with cross-functional leadership to deliver scalable, responsible AI solutions.
The Manager of Data Governance oversees the daily operations and maturation of the university's federated data governance program, focusing on policy adoption, stakeholder engagement, and cross-functional collaboration. This role coordinates data stewardship, quality, and metadata practices to ensure consistent data usage across business and technical domains.
Builds AI-driven data products and semantic models to improve process intelligence and governance at a large bank, using Python, SQL, and GenAI techniques.
Designs, implements, and optimizes data analytics solutions using Microsoft technologies including Azure Synapse, Data Factory, Power BI, and SQL Server. Transforms complex data into actionable insights and supports decision-making processes.
Builds and maintains scalable data pipelines for healthcare datasets, harmonizing complex multimodal data (e.g., EHR, claims, wearables) into standardized formats for analytics, AI/ML, and evidence-based research.
Design and build enterprise ontologies, knowledge graphs, and semantic data models using W3C standards (OWL, RDF, SPARQL) and graph databases to connect raw operational data with AI-ready intelligence for defense programs at RTX.
Leads data governance for an enterprise data platform, defining strategy, requirements, and design for metadata, data quality, and governance tools like Databricks and Microsoft Purview. Bridges business needs and technical implementation, ensuring scalable, production-ready data management for analytics and AI.
Coordinates data governance across datasets and data products in a Lakehouse environment, linking central data capabilities with Data Stewards to enforce governance, quality, and metadata standards.
Data Governance Specialist at Telia in Helsinki, responsible for implementing data governance models, maintaining data catalogues and metadata/lineage solutions, and supporting audits and compliance across business and technology teams.
The Associate Data Engineer will design, build, and maintain scalable data pipelines and platforms to support BlackRock's enterprise data products. The role involves working with technologies like Python, Java, Scala, Snowflake, and various cloud platforms to ensure high-quality, governed data delivery.
The Data Steward ensures high-quality, trusted data governance and stewardship across BlackRock’s Technology & Operations, driving data ownership, quality, and usability to support investment, AI, and operational workflows via the firm’s Data Marketplace.
Builds and maintains an enterprise-scale data platform using Databricks, Snowflake, and Microsoft Fabric, focusing on automation, Kubernetes, and cloud-native DevOps to enable self-service analytics and operational excellence.
Lead Digital Product Manager owning the strategy, roadmap, and governance for an enterprise knowledge platform that powers AI agent marketing workflows via RAG, automated ingestion, and retrieval capabilities at Wells Fargo.
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