Senior Data Engineer

Salary - £70-80k with 15% bonus

Hybrid working – couple of days in the office

City of London

We are looking for:

• Good understanding of data engineering principles
• A good technical grasp of Snowflake and automating it, and transforming complex datasets
• SnowPro core certification.
• AWS Skillset
• Delivery experience
• Building solutions in snowflake
• Insurance experience – advantageous but not necessary

Key Responsibilities:

• Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment
• Mentoring of team members through code reviews and pair programming
• Build and support new AWS native cloud data warehouse solutions
• Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization.
• Deliver data to presentation layers to power reporting and analytics
• Collaborate with stakeholders, product owners, and developers
• Create and maintain data models that serve as a foundation for reporting and analytics
• Monitor performance metrics and troubleshoot issues within the data architecture, ensuring optimal health and efficiency.

Skills and Experience:

• Bachelor’s degree or higher in a technical discipline
• Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments
• Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway
• Strong SQL skills for complex data queries and transformations
• Python programming for data processing and analysis is a plus
• Strong acumen for application health through performance monitoring, logging, and debugging
• AWS or Snowflake certifications are a plus

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