Data scientist

Salary: £28,000 - 50,000 per year Requirements: We require 3-5 years of experience in data science, analytics, data engineering, or automation roles. We require strong proficiency in Python. We require hands-on experience with SQL and Snowflake. We require experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate. We require experience working with CRM data, with Salesforce preferred. We require a solid understanding of data modelling, analytics, and data quality principles. We prefer a degree in Computer Science, Engineering, Data Science, or a related field. We consider exposure to machine learning or advanced analytics a bonus. We consider experience with cloud data platforms a bonus. Responsibilities: We develop and maintain robust ETL and ELT data pipelines using Python, SQL, and Snowflake. We cleanse, transform, and validate large datasets to ensure data accuracy and integrity. We manage scheduled data loads and perform ongoing data quality checks. We support and contribute to data governance, standards, and documentation. We deliver high-quality, curated datasets for reporting and business analysis. We support the development of KPIs, dashboards, and analytical models. We troubleshoot and resolve data, integration, and reporting issues. We build and optimise solutions using Power BI, Power Apps, and Power Automate. We integrate and manage CRM data, including Salesforce, to support business processes. We identify and implement automation and process improvement opportunities across workflows. Technologies: Cloud CRM ETL Support Machine Learning Microsoft Power Platform Power BI Python SQL Salesforce Snowflake More: We are a leading engineering organisation based in Larne, Northern Ireland, offering an on-site 12-month contract role working 37.5 hours per week with flexible start and finish times, typically 8:00am to 4:00pm. This is a hands-on position focused on data engineering, analytics, and automation within a complex engineering environment, where you will help build data pipelines, deliver analytical insights, and support data-driven decision-making across the business. We are looking for a data-driven professional who wants to contribute to a cutting-edge engineering environment. last updated 25 week of 2026