2 of 2 Remote Data Integration Jobs in Guernsey

SQL Developer (Snowflake) Location: Fully Remote (UK-based) Employment Type: Permanent Salary: 35,000 - 40,000 We are working with a UK-based organisation dedicated to using data to enhance decision-making and operational efficiency. They are seeking a SQL/Snowflake Developer to join their collaborative data team, contributing to data integration, modelling, and reporting … initiatives. This is an exciting opportunity for a hands-on SQL professional who enjoys working across teams and helping to shape efficient, high-quality data solutions. Youll work within a friendly and motivated data team of around five people, including BI Developers, SQL Developers, and Integration Engineers. What Youll Do As a SQL Developer (Snowflake) , youll take … ownership of developing, maintaining, and optimising a modern data warehouse environment. Your day-to-day work will focus on SQL development within Snowflake, supporting BAU and enhancement activities, and ensuring data flows effectively across the organisations Medallion Architecture. Key Responsibilities: Design, develop, and maintain complex SQL queries for data extraction, transformation, and reporting. Work collaboratively with business More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … pensions advisory space. About the Role Youll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. We value innovation, collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the … UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops : Implement CI/CD workflows, monitor model performance, and manage retraining pipelines. Python Development : Write clean, scalable code and manage version More ❯