6 of 6 Permanent Data Modelling Jobs in Avon

is seeking an experienced Product Owner to become an integral part of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower … teams across the business, from marketing to operations, and enable insight-driven decisions. Acting as the bridge between Finance business stakeholders, data scientists, analysts and engineers, you'll manage the Finance product backlog and ensure continuous delivery of capabilities that align with enterprise objectives. Acting as a liaison between stakeholders and the development team, you will translate the product … vision into a prioritised & actionable backlog that maximizes business value while ensuring to addresses customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data More ❯

If you're someone who thrives on solving real-world problems with clean, scalable code, we want to hear from you. We're looking for a hands-on Data Engineer to help us shape the future of data in a fast-paced FinTech business who are evolving their data strategy. Working closely with the Lead Data Scientist, you will take ownership of evolving and optimising the new data warehouse, designing robust data pipelines from scratch, and playing a key role in how data is managed and deliver to customers. Why this role? Major voice in shaping how we build and scale our data products Involved in automation, pipeline design, and machine … in a small, agile team with real ownership You'll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience building/maintaining ETL pipelines Data modelling and warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you'll get stuck in and find answers independently to bring back to the team Drive to More ❯

Ability to work multi-functionally with teams from different departments. It would be great if you had: Experience in aerospace & defence, automotive or energy industries. Technically self-sufficient in data modelling. Understanding of large-scale enterprise application deployment methodologies with experience leading teams in an Agile/Scrum environment. If you're ready to apply your skills in an More ❯

Overview We are seeking a talented Data and AI Engineer to join our team. As a Data and AI Engineer, you will undertake a comprehensive stock take of current AI initiatives across the UK, assess customer tools and infrastructure, and determine the suitability of applications for executing Systems Engineering identified use-cases. Responsibilities Collaborate with stakeholders to understand … testing third-party tools. Use Generative AI to produce Design Verification Plans (DVPs) and AI-generated reference requirements. Identify challenging customer and project requirements. Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation). Develop and review NLP Generative AI engineering data models tailored to specific Systems Engineering use cases. Ensure … Management (IM) and Information Security (InfoSec) policies. Formalise, establish governance, and deploy PoC to derive harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering More ❯

Strong understanding of object-oriented programming principles and design patterns. Expertise in microservices architecture and event-driven systems. Proficiency in SQL and NoSQL databases, with a strong understanding of data modeling and query optimization. Strong understanding of software development life cycle (SDLC) and Agile methodologies. Preferred Education and Experience 6+ years of professional software development experience. Experience working in … solutions. Strong expertise in .NET (C#) and Azure cloud services. Familiarity with multiple software architecture design patterns. Experience with frontend frameworks such as Angular, Blazor, or React. Proficiency with data warehouse technologies such as Snowflake. Hands-on experience with GitHub, CI/CD pipelines, and automated testing. Familiarity with containerization technologies such as Docker and Kubernetes. Job Title Once More ❯

Workday Financials projects, delivering cutting-edge solutions that drive business transformation, process optimisation, and system integration. What You'll Do Architect end-to-end Workday Financials solutions, including Foundational Data Model design Align deliverables across functional, integration, and data teams Engage directly with client stakeholders, from finance professionals to the C-suite Deliver impactful demos, discovery workshops, and More ❯