Work mode: Fully onsite 5 days WFO/week
Contract duration: 1 year
Location: Basildon, UK
Client: Fiserv
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JOB DETAILS
Role Title: Snowflake Data Engineer
Job Description:
Hire Risk & Data Engineer (Snowflake / Fraud Intelligence).
• Hire a senior individual contributor with strong hands on Snowflake experience and a background in production grade data platforms supporting analytics or risk use cases.
• Prioritize candidates with real AWS production exposure, particularly in environments running data pipelines at scale—hands on experience is favored over certifications.
• Ensure practical experience with event driven or message based data pipelines, such as Kafka and/or Amazon SQS, used in real time or near real time processing.
• Focus on candidates who have scaled and optimized existing data platforms, rather than only building greenfield solutions.
• Assess strong SQL competency and data modeling depth, including experience working with dbt and CI/CD driven data workflows.
Role Summary
We are looking for Risk & Data Engineer to design and scale data pipelines, analytical models, and fraud intelligence capabilities that power our MRV/MRD platforms.
This role sits at the intersection of data engineering, risk analytics, and platform scale, with a strong focus on Snowflake based data warehousing, rule driven detection, and explainable risk outcomes.
You will work closely with product, backend, and platform teams to enable real time and batch fraud detection, regulatory reporting, and multi regional data readiness.
Core Responsibilities (5–7 Bullet Job Description)
• Design and develop Snowflake based data models to support fraud detection, monitoring, and regulatory reporting
• Build and optimize ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures
• Partner with risk stakeholders to support rule based and analytical fraud logic
• Ensure data quality, lineage, and auditability across MRV/MRD workflows
• Tune SQL performance and optimize warehouse cost and usage
• Support experimentation with advanced analytics and GenAI driven insights
• Collaborate with platform and backend engineers on end to end data flows
Required Skills & Experience
• 4+ years of hands on experience as a Snowflake developer, including data modeling and transformation workflows (dbt preferred).
• Strong expertise in advanced SQL, performance tuning, and warehouse optimization.
• Hands on experience building ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures.
• Experience working with CI/CD and version control (GitHub and/or AWS/Azure DevOps) for data pipelines.
• Solid understanding of data engineering principles, including data quality, lineage, and monitoring.
• Exposure to fraud, risk, or compliance analytics, or other rule driven analytical systems.
• Familiarity with Python or Java for data processing or integration use cases.
Required Personal Skills
• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles
• Good customer service skills. Ability to deal with difficult situations/individuals gracefully
Preferred / Nice to Have
• Experience modeling data from SAP ECC / SAP S/4HANA or other enterprise systems
• SnowPro Certification
• Experience with GenAI enabled analytics or feature engineering
Snowflake Data Engineer • Basildon, Essex, United Kingdom
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