7 of 7 Remote Senior Data Engineer Jobs in North Yorkshire

Senior Data Engineer – 6-Month Contract | London | Insurance Sector We're exclusively recruiting for a Senior Data Engineer to join a leading organisation within the Property & Casualty Insurance sector. 📍 Location : London (Hybrid) ⏳ Contract : 6 months (potential extension) 📁 Sector : Insurance – Property & Casualty 💼 Work Type : Contract … Inside IR35/Outside – subject to discussion) You’ll be embedded within the Actuarial team , building scalable data platforms and pipelines to support pricing analysis. You’ll work closely with stakeholders, lead third-party collaborations, and play a critical role in optimising and managing robust data infrastructure. 🔧 Key … Responsibilities: Collaborate with pricing actuaries and analysts to gather technical and business requirements. Architect a scalable, secure data platform and design ETL pipelines. Integrate internal and third-party data sources using tools like SQL Server , Databricks , Azure , and APIs . Lead third-party engineering teams to deliver on More ❯

Job Title: Senior Data Engineer Salary: up to £65,000 Location: Hybrid – 1 day per fortnight in the Wilmslow offices Working hours 0900 to 1730 The Role Following recent investment, The Citation Group are looking to build out their data capabilities to be Best in Class. … As such, a fantastic opportunity has arisen for a strong data engineer to work in the data engineering team, to expand and maintain the data infrastructure that provides the foundations from which our BI, Data Science and Operational Data teams deliver insights and revenue … to the functions across the wider group. We’re looking for an individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS More ❯

Job Title: Senior Data Engineer Location: Fully Remote (UK Based) Salary: £60,000 – £70,000 About Us: This growing search marketing company works with a range of multi-billion dollar companies such as Adidas and Louis Vuitton and are looking to bring in a Data Engineer, to support their growing team. In this role, you will handle over a trillion data points daily and they are seeking a passionate Data Engineer to join their innovative and dynamic team. Responsibilities: Collaborate with various squads within the data team on project-based work. … Develop and optimize data models, warehouse solutions, and ETL processes. Work with Scala, Spark, and Java to handle large-scale data processing. Contribute to manual Databricks-like data processing solutions. Requirements: Minimum of 4 years of experience with Scala, Spark, and Java. Strong technical skills and a More ❯

Job Title: Senior Data Engineer - 12 month FTC Location: London/Hybrid (2 days per week onsite) Salary: Competative market rate + bonus + benefits Why Apply? This is an exciting opportunity for an experienced Azure Data Engineer to play a key role in delivering … the next phase of a business-critical data programme. You'll apply your technical expertise across Azure Databricks, Data Factory, Azure SQL, and SQL Server, contributing directly to the integration of financial data into a new Azure Data Platform. Responsibilities: Design, build and optimise scalable data solutions using Azure cloud technologies. Lead the development of data pipelines in Azure Databricks, Data Factory, and T-SQL. Provide senior-level technical direction to onshore and offshore development teams. Translate data requirements into effective data engineering solutions. Collaborate closely with business stakeholders to More ❯

Lead Data Engineer Telford, Shropshire Up to £100k + Benefits A new role for a Lead Data Engineer has arisen with an international Tech company working on a major UK Government Programme designing and delivering a range of data solutions. This is an opportunity to … play a key role in a collaborative function architecting data pipelines and infrastructure, leading in both a technical sense but also through mentorship and establishing best practices and standards. The Role The Lead Data Engineer will design and implement complex data flows to connect operational systems … build and maintain data environments, evaluate and develop tools to improve data analytics platforms and recognise opportunities to reuse existing data flows between teams. Requirements This is a leadership role and requires not only demonstrable experience of leading on data engineering projects but requires someone with More ❯

Senior Data Engineer Competitive Salary and Benefits Package Fully Remote I am working with a leading Fintech business who are currently strengthening their data team. In this key role, you will be working in an agile environment supporting multiple teams to develop creative data-driven … solutions, building high performance, resilient, automated data pipelines and data transformation applications. If you have a strong mix of the following skills and experience, I would be very keen to hear from you: Advanced SQL Knowledge (Oracle, PostgreSQL, MSSQL, etc.). Scripting languages (Python, PowerShell). Web service … APIs (SOAP, REST). Data modelling experience. Knowledge of Snowflake Analytics Platform would be an advantage. Experience in working within an Agile environment. Knowledge of GIT, Jenkins (CI). Experience with Automation, including Unit and Integration Testing. Knowledge of Cloud Concepts. For a confidential chat about this exciting opportunity More ❯

Senior Data Scientist/AI Engineer Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will … and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating More ❯