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Senior Data Engineer Snowflake

Lorien

City Of London

Hybrid

GBP 85,000 - 100,000

Full time

Yesterday
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Job summary

An international insurance company is seeking an experienced Senior Data Engineer to lead the implementation of next-generation data warehousing solutions using Snowflake and AWS. The role involves mentoring team members and collaborating with stakeholders in a hybrid working environment. Key benefits include a salary up to £100,000, performance-based bonuses, and substantial annual leave.

Benefits

Hybrid working (approximately 2 days a week in the office)
Salary up to £100,000 + 15% bonus
25 days annual leave + bank holidays
10% employee pension contribution
Life Assurance

Qualifications

  • Proven experience as a data engineer focusing on Snowflake and AWS.
  • Strong SQL skills for complex data queries and transformations.
  • Python programming for data processing and analysis is a plus.

Responsibilities

  • Lead the modernization journey to Snowflake-based data warehousing solutions.
  • Design and implement scalable data solutions using AWS services.
  • Mentor and support team members through code reviews and knowledge sharing.
  • Collaborate with stakeholders to ensure alignment of requirements with data solutions.

Skills

Leadership skills
Communication skills
SQL
Python programming

Tools

Snowflake
AWS
Glue
Lambda
S3
Redshift
Job description

You will join a successful international insurance company who specialise in commercial insurance and reinsurance products. My client is looking for an experienced Senior Data Engineer to play a pivotal role in designing and implementing next-generation data warehousing solutions, with a focus on Snowflake and AWS technologies.

This is a fantastic opportunity to shape the future of data architecture and drive innovation in a dynamic, collaborative environment.

Main Responsibilities:
  • Lead the modernisation journey to Snowflake-based data warehousing solutions within an AWS environment.
  • Design and implement scalable, secure, and cost-efficient data solutions using AWS services such as Glue, Lambda, S3, Redshift, and Step Functions.
  • Develop robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability.
  • Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring.
  • Mentor and support team members through code reviews, pair programming, and knowledge sharing.
  • Collaborate with stakeholders, product owners, and developers to ensure alignment between requirements and data solutions.
Benefits:
  • Hybrid working (approximately 2 days a week in the office)
  • Salary up to £100,000 + 15% bonus
  • 25 days annual leave + bank holidays + option to buy and sell
  • 10% employee pension contribution
  • Life Assurance, plus much more
Requirements:
  • Strong leadership and communication skills as you will be working closely and presenting to senior stakeholders, along with leading and mentoring teams
  • Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments
  • Extensive experience with 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 leadership, communication, and collaboration skills

We are an equal opportunities employer and welcome applications from all qualified candidates.

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