> Markdown version of [/jobs/ext/791111-snowflake-data-engineer](https://www.wearedevelopers.com/jobs/ext/791111-snowflake-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Snowflake Data Engineer

- **Company:** ETeam Inc
- **Location:** Basildon, UK
- **Experience:** Experienced
- **Salary:** £98,800.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Fraud Prevention and Detection, Github, Python (Programming Language), SAP ERP, Performance Tuning, SQL Stored Procedures, Data Streaming, Data Processing, Enterprise Software Applications, Feature Engineering, Sql Optimization, Snowflake, SAP S/4HANA, Software Version Control, Data Pipelines, Sql Tuning
- **Published:** June 5, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-BF6B80B83A42EB7779/

## About the Role

* 4+ years of hands on experience as a Snowflake developer, including data modelling 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 modelling data from SAP ECC/SAP S/4HANA or other enterprise systems
 * SnowPro Certification
 * Experience with GenAI enabled analytics or feature engineering

## Description

* 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, Back End, and platform teams to enable Real Time and batch fraud detection, regulatory reporting, and multi regional data readiness.

Core Responsibilities

 * 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 Back End engineers on end to end data flows


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)