76 to 91 of 91 Remote Data Extraction Jobs

Manager , Tricentis Tosca , and other QA/testing tools. Change Impact Analysis – Analyse transports, custom code and configuration changes to identify impacted processes and recommend risk-based testing scope. Data Integration & Automation – Connect LiveCompare to SAP systems to extract usage/runtime data and automate workflows for change impact reporting and test selection. Test Optimisation – Support QA teams … and administration Strong experience analysing SAP transports, custom code, config changes Solid understanding of SAP landscapes, change and release management Ability to connect LiveCompare to SAP systems and automate data extraction and workflows Strong stakeholder and client-facing communication skills Experience working with global/multi-location teams If you are interested or would like to know more More ❯

meaningful equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team bringing … deep technical and commercial experience. The team is small but growing, with a culture that blends high standards, intellectual honesty, and rapid delivery. The Challenge Imagine deploying a new data-extraction pipeline on Monday that saves a major enterprise client dozens of hours a week — and by Friday, you’re already helping them integrate your APIs into their … not months. What You’ll Do Own major product components end-to-end: concept, design, delivery, and adoption. Build scalable APIs and backend systems in Python , integrating with multiple data sources. Partner with product and commercial teams to turn customer feedback into elegant technical solutions. Use cutting-edge developer tools (e.g. Copilot, Cursor, Claude Code) to speed up iteration. More ❯

meaningful equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team bringing … deep technical and commercial experience. The team is small but growing, with a culture that blends high standards, intellectual honesty, and rapid delivery. The Challenge Imagine deploying a new data-extraction pipeline on Monday that saves a major enterprise client dozens of hours a week — and by Friday, you’re already helping them integrate your APIs into their … not months. What You’ll Do Own major product components end-to-end: concept, design, delivery, and adoption. Build scalable APIs and backend systems in Python , integrating with multiple data sources. Partner with product and commercial teams to turn customer feedback into elegant technical solutions. Use cutting-edge developer tools (e.g. Copilot, Cursor, Claude Code) to speed up iteration. More ❯

meaningful equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team bringing … deep technical and commercial experience. The team is small but growing, with a culture that blends high standards, intellectual honesty, and rapid delivery. The Challenge Imagine deploying a new data-extraction pipeline on Monday that saves a major enterprise client dozens of hours a week — and by Friday, you’re already helping them integrate your APIs into their … not months. What You’ll Do Own major product components end-to-end: concept, design, delivery, and adoption. Build scalable APIs and backend systems in Python , integrating with multiple data sources. Partner with product and commercial teams to turn customer feedback into elegant technical solutions. Use cutting-edge developer tools (e.g. Copilot, Cursor, Claude Code) to speed up iteration. More ❯

meaningful equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team bringing … deep technical and commercial experience. The team is small but growing, with a culture that blends high standards, intellectual honesty, and rapid delivery. The Challenge Imagine deploying a new data-extraction pipeline on Monday that saves a major enterprise client dozens of hours a week — and by Friday, you’re already helping them integrate your APIs into their … not months. What You’ll Do Own major product components end-to-end: concept, design, delivery, and adoption. Build scalable APIs and backend systems in Python , integrating with multiple data sources. Partner with product and commercial teams to turn customer feedback into elegant technical solutions. Use cutting-edge developer tools (e.g. Copilot, Cursor, Claude Code) to speed up iteration. More ❯

meaningful equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team bringing … deep technical and commercial experience. The team is small but growing, with a culture that blends high standards, intellectual honesty, and rapid delivery. The Challenge Imagine deploying a new data-extraction pipeline on Monday that saves a major enterprise client dozens of hours a week — and by Friday, you’re already helping them integrate your APIs into their … not months. What You’ll Do Own major product components end-to-end: concept, design, delivery, and adoption. Build scalable APIs and backend systems in Python , integrating with multiple data sources. Partner with product and commercial teams to turn customer feedback into elegant technical solutions. Use cutting-edge developer tools (e.g. Copilot, Cursor, Claude Code) to speed up iteration. More ❯

45k per annum Overview We are seeking a detail-oriented and analytical Business Intelligence Analyst to join our dynamic team. In this role, you will be responsible for transforming data into actionable insights that drive strategic decision-making. You will work closely with various departments to understand their data needs and provide them with the necessary tools and … reports to enhance their performance. Responsibilities Collaborate with stakeholders to gather requirements and understand business needs for data analysis. Develop and maintain dashboards and reports using Tableau to visualise key performance indicators. Conduct thorough data analysis to identify trends, patterns, and anomalies within datasets. Utilise SQL for querying databases and extracting relevant information for analysis. Participate in the … Cycle (SDLC) to ensure effective implementation of BI solutions. Create detailed documentation of processes, including flowcharts using Visio, to support business analysis efforts. Provide insights and recommendations based on data findings to assist in strategic planning. Continuously monitor and improve existing BI tools and processes for enhanced efficiency. Skills Proficiency in SQL for database management and data extraction. More ❯

meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes More ❯

meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes More ❯

meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes More ❯

meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes More ❯

meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes More ❯

meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes More ❯

The ERP Integration Specialist will design, develop, and maintain seamless integrations between SYSPRO ERP and a range of internal and external systems. The position requires a deep understanding of data structures, business processes, and integration technologies, ensuring that solutions are scalable, maintainable, and aligned with business goals. Key Responsibilities Design, implement, and maintain ERP integrations using SQL Server, T … SQL, XML, and third-party APIs. Build and support Crystal Reports for business reporting and data extraction. Collaborate closely with business stakeholders to capture and translate integration and reporting requirements. Analyse existing data flows to identify opportunities for process optimisation and automation. Maintain comprehensive integration documentation, including mapping specifications, data dictionaries, and configuration notes. Manage technical relationships … with ERP systems and its core modules. Proficiency in SQL Server, T-SQL, and query optimisation. Strong experience developing and maintaining Crystal Reports. Working knowledge of XML and structured data integration. Experience producing technical documentation, specifications, and data analysis. Familiarity with ERP APIs and data exchange formats such as JSON and CSV. Basic scripting knowledge (e.g. VBScript More ❯

functional support across treasury management systems, integrated with Oracle Fusion GL, Intercompany, and Cash Management . Deliver end-to-end production support for FIS Quantum and Echos. Maintain static data and ensure system stability and data integrity. Support Cash Xplorer and core treasury processes (IHB, forecasting, settlements). Manage SQL/Oracle database queries, performance, and data More ❯

across treasury management systems, integrated with Oracle Fusion GL, Intercompany, and Cash Management . Key Responsibilities: Deliver end-to-end production support for FIS Quantum and Echos. Maintain static data and ensure system stability and data integrity. Troubleshoot Quantum EWF workflows, reports, and cashflow interfaces. Support Cash Xplorer and core treasury processes (IHB, forecasting, settlements). Manage SQL …/Oracle database queries, performance, and data extraction. Oversee integrations between FIS systems and Oracle Fusion modules. Ensure compliance with SOX and internal controls; support upgrades and testing. Requirements: Experience with FIS Quantum and Echos. Strong SQL/Oracle database and troubleshooting skills. Knowledge of treasury workflows, cash management, and intercompany processes. Hands-on experience with Quantum EWF, Cash More ❯