8 of 8 Permanent Data Pipeline Jobs in Northern Ireland

influencing skills with high levels of empathy. Highly commercial and interested in contributing to business development activities. Passion for developing leadership style, leveraging personal strengths and values. Preferred Data and Digital Experience including but not exclusive to: Microsoft Power Platform/Fabric - Experience and strong capability in developing solutions using MS Power Platform (Power BI, Power Apps, Power … Automate). Experience in designing and implementing solutions in MS Fabric. Digital Strategy - Experience in digital and technology strategy and enhancement recommendations. Experience in creating conceptual data maps and data schemas. Experience in data strategy and architecture design management. Experience in mapping and providing recommendations for enterprise architecture. Data Governance - Experience and … understanding of best practice data governance and assurance processes. Data Analysis - able to interpret complex data and translate findings into clear, actionable insights. Experience in dashboard and report development. Data Engineering - Proficiency in automating ETL processes and creating data pipelines. Preferably knowledge in SQL database architecture (implementation and management), data More ❯

want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for … natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team … with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform More ❯

want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for … natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team … with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform More ❯

Senior Software Engineer (Data) Location - Belfast Hybrid Working Salary - Negotiable A unique opportunity to join this Belfast based client to work on their Engineering team in a role that combines both Software and Data Engineering. This role combines development both Software engineering primarily in .Net/C# along with Data Engineering, of which responsibilities … include aspects of Data Modelling, Message & Data Pipelines and Data Infrastructure. Experience required Strong programming experience with C# and .NET Core. Solid understanding of Microsoft SQL Server Experience working with cloud platforms Exposure to enterprise messaging systems (e.g. RabbitMQ etc) If you are interested in this role or would be keen to see what More ❯

Markets Program Execution & Transformation – Data Acquisition Team Belfast (Hybrid) - Essential | Approx. £415pd PAYE + Holiday (PAYE) The Markets Program Execution & Transformation team partners with all Global Markets businesses and various functions—including Legal, Compliance, Finance, and Operations & Technology—to identify, mobilize, and deliver regulatory and cross-business transformation initiatives. The team's core mission is to design and … implement integrated solutions that are efficient, scalable, and client-focused. This role sits within the Data Acquisition Team , playing a critical part in supporting multiple projects and workstreams. The focus is on assessing and delivering robust data solutions and managing changes that impact diverse stakeholder groups in response to regulatory rulemaking, supervisory requirements, and discretionary transformation … programs. Key Responsibilities: Develop PySpark and SQL queries to analyze, reconcile, and interrogate data. Provide actionable recommendations to improve reporting processes—e.g., enhancing data quality, streamlining workflows, and optimizing query performance. Contribute to architecture and design discussions in a Hadoop-based environment. Translate high-level architecture and requirements into detailed design and code. Lead and guide complex, high More ❯

ll bring the expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: Liberty IT's Data Science group partners directly with business stakeholders and global data science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of … insurance, for example in managing risk, and build solutions that enable Liberty Mutual to achieve this. You will have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two More ❯

We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: We're looking for a hands-on Data Scientist to develop and deliver deep learning-powered features supporting insurance pricing and product innovation at Liberty Mutual. This role focuses on building robust, scalable feature pipelines-especially from … complex data sources like aerial imagery-and bringing them into production to solve real business problems. You'll work with a small, high-performing team to turn deep learning models into practical, production-ready features used across multiple insurance products. If you have experience in computer vision, scaling data science solutions, and delivering tangible business value … with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing More ❯

intelligently to user behaviour. • Cross-functional execution : Lead product development from discovery through launch. Work closely with engineering, ML, design, and go-to-market teams. You will define data requirements, shape architecture and UX, and track product performance through clear metrics. • Go-to-market and monetisation: Develop pricing and packaging strategies for AI features. Test business models and … validate product-market fit. You will own the commercial success of your product areas. • Data-driven learning loops : Create feedback systems that capture user behavior, AI performance, and commercial outcomes. Use this data to run experiments, improve models, and refine user experiences. • Customer and internal enablement : Engage directly with early users and create internal tools, documentation … user-facing tools that use machine learning, especially in scheduling, coordination, or productivity software. • Technical fluency : You are comfortable with concepts like embeddings, intent detection, prompt design, and data pipelines. You don't need to code, but you understand enough to speak with engineers and data scientists with confidence. • Workflow thinking : You're passionate about redesigning More ❯