8 of 8 Remote/Hybrid Data Pipeline Jobs in Northern Ireland

Snowflake Data Engineer Location: Brighton, East Sussex (Hybrid/Remote possible) Salary: £50,000 – £60,000 per annum (DOE) Job Type: Permanent, Full-time About the Role We are looking for a talented Snowflake Data Engineer to join our growing data team based … Brighton. You'll play a key role in enhancing our data platform, automating data workflows and enabling data-driven decision-making across the business. This role is ideal for someone who enjoys working with modern cloud data platforms, has excellent SQL skills ...

This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

Senior Data Engineer | Remote (UK or Europe) A leading prop trading firm is hiring a Senior Data Engineer to take ownership of their trading and market data infrastructure. Operating globally with connectivity to dozens of exchanges, the firm executes millions of trades daily with … checks Create tools and APIs for data access Collaborate with traders and developers on data needs Ensure 24/7 pipeline reliability What We're Looking For Strong Python and SQL Experience with trading/market data in production Proven work on real ...

maintain C-suite relationships across channel partners and end clients, creating clear value narratives. Forecasting and discipline: Maintain accurate CRM data, pipeline health, and board-ready reporting. Outcome-based proposals: Deliver compelling, client-focused solutions that ensure successful outcomes. Weekly operating rhythm: Drive pipeline reviews, follow ...

Senior Software Engineer (Python - FastAPI) This fast-growing consultancy is pushing the boundaries of AI and data science, helping clients turn complex challenges into scalable, production-ready solutions. They're now hiring a Senior Software Engineer who can blend deep technical expertise with a practical, delivery-focused mindset. … Role Overview: Location: London (hybrid) Package: Competitive salary + bonus + benefits Industry: AI, Data Science & Technology Consulting Security Clearance: Applicants Must have Active SC Clearance or above What You'll Be Doing: Leading the end-to-end design and build of applications that utilise advanced ...

model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between ...

proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping ...

journey, designing and delivering innovative solutions built on Azure's cutting-edge capabilities. You turn complex ideas into practical, scalable applications, bridging data, cloud services, and intelligent models. With your technical insight and clear communication, you empower customers to confidently adopt AI and drive meaningful impact across their … tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data platforms) for seamless collaboration. Design and optimize data pipelines that prepare structured and unstructured data for model training ...