8 of 8 Permanent Data Extraction Jobs in Belfast

Key aspects of the role include: Data Pipeline Development: Architect, develop, and optimise data extraction, transformation, and loading (ETL) processes for high-volume healthcare data. Integration of NHS Systems Data: Work directly with NHS data sources and ensure seamless integration of systems like UDAL, NCDR … SUS+, HES, and ODS into our analytics platform. System Performance: Monitor and enhance the performance of our data systems to ensure reliability and responsiveness. Collaboration: Partner with data scientists, analysts, and stakeholders to ensure that data solutions align with business needs and analytic strategies. Scalability & Security: Implement … and enforce best practices for data security, quality, and scalability across our data infrastructure. Essential Skills: Healthcare Data Expertise: Proven experience in designing and managing data solutions within healthcare environments. Demonstrated ability to work with NHS systems—such as UDAL, NCDR, SUS+, HES, and ODS—and More ❯

Azure Data Engineer Remote (UK-based) Up to £60,000 per annum About the Company We are a leader in the insurance sector, committed to data-driven decision making and modernising our technology landscape. As part of our continued growth, we’re seeking a skilled Azure Data Engineer to support our data platform and engineering initiatives. Role Overview As an Azure Data Engineer, you will be instrumental in designing, building, and optimising data pipelines and architecture in our Azure environment. This role is ideal for someone with strong SQL skills and a background … in Azure data services, looking to play a key role in transforming and scaling our data operations. Key Responsibilities Develop and maintain scalable data pipelines in Azure. Build and optimise data integration workflows using Azure Data Factory. Design and implement data models and data More ❯

Job Title: Data Modeler Contract: Daily rate (Inside IR35, umbrella – UK) Start Date: ASAP – 31 December 2025 Location: Remote (UK) Role Overview As an On-site Data Modeler, you will translate complex reinsurance data into robust, scalable models that power our pricing and actuarial systems. You’ll … collaborate with actuaries, underwriters and project teams to ensure data quality, governance and business intelligence (BI) insights are delivered to tight deadlines. Key Responsibilities Data Modelling & Schema Design: Support the Data Architect in defining logical and physical models, ensuring alignment with MVP user stories and solution design. … Requirements Capture: Run workshops with stakeholders to elicit and document detailed data requirements, mapping attributes to our data warehouse and downstream systems. BI Analysis: Leverage business intelligence tools to interpret complex data sets, produce dashboards and drive actionable insights. SQL Development: Write and optimise complex Microsoft SQL More ❯

We have one open position of Oracle Fusion Data Intelligence Consultant with one of our client based at United Kingdom. This is a Permanent/Fulltime Position. Below is the job description for your reference. Please share your application once you are interested. Role : Oracle Fusion Data Intelligence … Fulltime Location: United Kingdom Remote Job Description REQUIREMENTS: 8–10 years of experience working with Oracle Cloud/Fusion applications, with a focus on Data Intelligence and Analytics Strong expertise in Oracle Fusion Data Intelligence (FDI), Oracle Analytics Cloud (OAC). Should be aware about process of creating … Semantic data model in FDI. Proven experience in data modeling, data extraction, transformation, and loading (ETL) using Oracle Cloud tools Hands-on experience in creating dashboards, KPIs, custom reports, and visual analytics for Finance, Supply Chain, and HCM modules Strong understanding of Oracle Cloud ERP data More ❯

Our customers include the world’s leading investment management firms, including fund and asset managers and asset allocators. You will be joining an established data analytics team working with the Bipsync platform to manage the data migration process for onboarding clients. Bipsync has a blended working policy: combining … bureaucracy. The Bipsync team is driven by creative people who want to build extraordinary products for an underserved market. About The Role As a Data Analyst, you'll play a key role in managing ETL processes and supporting data migration efforts within the Bipsync platform. You'll work … with diverse datasets, ensuring accurate extraction, transformation, and loading of data, while applying your strong analytical and problem-solving skills to streamline and optimise data workflows. Responsibilities Liaise with key stakeholders to understand their data requirements as they onboard to the Bipsync platform. Collaborate with our More ❯

Sales (Support) Engineer AdTech/MarTech Industry experience Full-time Remote (with occasional London visits) Overview Combining some of the qualities of both a data analyst and software engineer, as a Sales and Partnerships Support Engineer, you will provide technical support to SuperAwesome’s sellers, business development and account … demonstrate value in the course of client and partner engagements. You will be expert in the technical aspects of SuperAwesome’s software products and data estate, knowing how and where to source and process data to address their needs, and being able to autonomously use that data … to Sales, Ad Operations/Yield Management, Business Development and Account Management “in the field”. This will likely include ad-hoc hypothesis testing, data extraction, troubleshooting, data visualisation and prototyping of bespoke functionality Work closely with SA’s Product Managers both to help them prototype and More ❯

build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate different market conditions … and generate optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models More ❯

We're building a fast, intelligent web scraping platform powered by AI agents. Our in-house infrastructure manages everything - from crawling and scraping to data extraction and automation - so developers, researchers, and businesses can focus on using data, not maintaining complex tools. 🤝 Who We're Looking For More ❯