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