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Senior Data Engineer

P&I Insurance Services

London

Hybrid

GBP 70,000 - 80,000

Full time

6 days ago

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Job summary

A leading company in data infrastructure and analytics is seeking a Senior Data Engineer based in London. The position focuses on Snowflake and AWS solutions, offering a competitive salary between £70,000 and £80,000, alongside a 15% bonus. Responsibilities include designing robust data solutions, mentoring team members, and enhancing ETL processes for efficient data management. Ideal candidates will have solid data engineering experience and relevant certifications.

Qualifications

Proven experience as a data engineer focused on Snowflake and AWS.
Strong SQL skills for complex queries and transformations.
Experience in large-scale enterprise environments.

Responsibilities

Lead design and implementation of Snowflake-based data solutions in AWS.
Mentor team members through code reviews and pair programming.
Develop and optimize ETL processes using AWS services.

Skills

Data engineering principles

Snowflake

AWS Skillset

SQL

Python programming

Education

Bachelor's degree or higher in a technical discipline

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Salary - £70-80k with 15% bonus

Hybrid working - couple of days in the office

City of London

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

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

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Data Infrastructure and Analytics

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