Data Scientist

Data Scientist - Database Analyst/Programmer II Larne, Northern Ireland (On-Site) Location: Larne (On-site) Contract: 12 months (Inside IR35) Hours: 37.5 hours/week (Flexible start/finish – typically 8:00am–4:00pm) We’re currently looking for a talented Data Scientist or Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland. Role Overview Our client is seeking a Data Analyst / Programmer to support data acquisition, integration, analytics, and automation initiatives. This role focuses on developing reliable data pipelines, delivering analytics and automation solutions, and supporting business reporting and decision-making using established enterprise platforms. Key Responsibilities • As a Data Analyst / Programmer you will develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake. • Cleanse, transform, and validate large datasets to ensure data accuracy and integrity • Manage scheduled data loads and perform ongoing data quality checks • Support development of KPIs, dashboards, and analytical models • Troubleshoot and resolve data, integration, and reporting issues • Build and optimise solutions using Power BI, Power Apps, and Power Automate • Integrate and manage CRM data (including Salesforce) to support business processes • Identify and implement automation and process improvement opportunities across workflows. Required Skills & Experience • 3–5+ years’ experience in data science, analytics, data engineering, or automation roles • Strong proficiency in Python • Hands-on experience with SQL and Snowflake • Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) • Experience working with CRM data (Salesforce preferred) • Solid understanding of data modelling, analytics, and data quality principles • Degree in Computer Science, Engineering, Data Science, or related field (preferred). Preferred / Bonus Skills • Exposure to machine learning or advanced analytics • Experience with cloud data platforms If you’re a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details!