🚨 Primus Global | Senior ETL SQL Data Engineer – Snowflake
🔥 Hiring: Senior ETL SQL Data Engineer | Snowflake | 8+ Years | London
If you’re an experienced data engineer who can build reliable pipelines, optimize large-scale data platforms and work confidently with Snowflake, advanced SQL, DBT and Python, this could be a strong opportunity to explore.
💼 Job Details
Company: Primus Global
Role: Senior ETL SQL Data Engineer – Snowflake
Experience: 8+ Years
Location: London, UK
Work Model: Hybrid
Employment Type: Permanent
Sponsorship: ❌ Not available
🔥 What You’ll Be Working On
Build and maintain scalable ETL data pipelines
Develop advanced SQL solutions across high-volume datasets
Design and optimize data warehouses using Snowflake
Develop data transformations with DBT Core
Use Python for data engineering and automation workflows
Work with orchestration and integration tools such as Apache Airflow, Apache NiFi or Talend
Develop efficient data models and transformation frameworks
Perform data quality checks, validation and cleansing
Monitor ETL pipelines and troubleshoot production issues
Work within Agile delivery teams to deliver reliable data solutions
🛠️ Must-Have Skills
✔ Snowflake
✔ Advanced SQL
✔ DBT Core
✔ Python
✔ ETL Pipeline Development
✔ Apache Airflow / Apache NiFi / Talend
✔ Large-Scale Data Warehousing
✔ High-Volume Data Processing
✔ Data Modelling & Transformation
✔ Data Optimization
✔ Data Quality & Validation
✔ ETL Monitoring & Troubleshooting
✔ Agile Delivery
⭐ Good to Have
CI/CD for data pipelines
Insurance industry experience
Experience supporting insurance data environments
Lloyd’s-related domain experience
🎯 Who Should Apply?
This role is best suited for senior data engineers who have already worked with enterprise-scale data platforms and understand more than just pipeline development.
Experience with Snowflake architecture, SQL optimization, transformation frameworks, data quality and production troubleshooting can make your profile stand out.
📩 How to Apply
Interested candidates can share their updated CV at: jyerramshetty@primusglobal.com
⚠️ Important: This position does not offer visa sponsorship.
❓ Frequently Asked Questions
1. How much experience is required?
The requirement is 8+ years of relevant data engineering experience.
2. What are the core technologies for this position?
The key stack includes Snowflake, Advanced SQL, DBT Core, Python and ETL technologies, along with tools such as Airflow, NiFi or Talend.
3. Is insurance experience mandatory?
Insurance experience is listed as a good-to-have qualification, preferably with exposure to Lloyd’s-related environments. It is not stated as a mandatory requirement.
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