Data Engineer

Snowflake Data Engineer – Basildon, UK Location: Basildon, UK (5 Days Onsite) Contract: 12 Months Job Descripti onWe are seeking an experienced Snowflake Data Engineer to join a high-performing Risk & Fraud Intelligence team, responsible for designing, building, and optimizing enterprise-scale data platforms supporting fraud detection, risk analytics, regulatory reporting, and real-time intelligence capabilitie s. The ideal candidate will possess strong hands-on expertise in Snowflake, advanced SQL, AWS-based data engineering, and modern ELT/ETL frameworks, with experience working on large-scale production data environmen ts. Key Responsibili • tiesDesign and develop scalable Snowflake data models supporting fraud detection, risk monitoring, and compliance report • ing.Build, optimize, and maintain ELT/ETL pipelines using Snowpipe, Streams, Tasks, and Stored Procedu • res.Develop and enhance real-time and near real-time data processing solutions using Kafka and/or Amazon • SQS.Partner with Risk, Product, and Engineering teams to deliver rule-based fraud detection and analytical capabilit • ies.Ensure data quality, lineage, governance, monitoring, and auditability across critical data platfo • rms.Optimize SQL performance, warehouse utilization, and Snowflake cost efficie • ncy.Implement CI/CD-driven data engineering practices using GitHub, Azure DevOps, or similar platfo • rms.Support advanced analytics, feature engineering, and GenAI-enabled data initiati • ves.Collaborate with backend and platform engineering teams to build scalable end-to-end data soluti ons.Required Skills & Experi • ence4+ years of hands-on experience working with Snowfl • ake.Strong expertise in advanced SQL development and performance tun • ing.Experience building ELT/ETL pipelines us • ing:Snow • pipeStr • eamsT • asksStored Proced • uresStrong understanding of data modeling and transformation frameworks (DBT preferr • ed).Experience with AWS data engineering services and cloud-native architectu • res.Experience with Kafka and/or Amazon SQS for event-driven data pipeli • nes.Hands-on experience with CI/CD pipelines and version control syst • ems.Strong understanding • of:Data Qua • lityData Lin • eageData Govern • anceData Monito • ringExperience working in risk, fraud, compliance, or rule-based analytical environme • nts.Programming experience in Python and/or J ava.Preferred Sk • illsExperience with SAP ECC and/or SAP S/4HANA data mod • els.SnowPro Certificat • ion.Exposure to GenAI-enabled analytics and feature engineer • ing.Experience supporting enterprise-scale data warehouse modernization initiati ves.Personal Sk • illsExcellent communication and stakeholder management ski • lls.Strong problem-solving and analytical abilit • ies.Ability to work effectively with global teams and business stakehold • ers.Customer-focused mindset with the ability to handle challenging situations professiona lly.