Analytics Engineer — Global Data Platform (Hybrid London)

Capital on Tap; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A fintech company is seeking an Analytics Engineer to join their Data Platform team in London. You will be responsible for building and maintaining a state-of-the-art data platform, ensuring seamless access to high-quality data for various business teams. The ideal candidate will have expert SQL skills, familiarity with Python, and experience with cloud data warehouses such as Snowflake. This is a hybrid position requiring attendance in the London office two days a week.

Benefits

Private Healthcare

Worldwide travel insurance

28 days holiday

Annual Learning and Wellbeing Budget

Dog Friendly Offices

Learning and Wellbeing Budget

Enhanced Parental Leave

Cycle to Work Scheme

Season Ticket Loan

Free therapy sessions

Dog Friendly Offices

Free drinks and snacks

Qualifications

• Expert SQL skills required for building and optimizing data pipelines.
• Familiarity with Python would be a bonus.
• Experience with data modeling and cloud data warehouses like Snowflake is essential.
• Experience working with a cloud data warehouse.
• Strong analytical skills to support data needs of multiple teams.

Responsibilities

• Support end users of our data platforms including Snowflake and dbt.
• Own the data flow through our Cloud Data Warehouse.
• Build out and maintain custom data pipelines using Python.
• Create and maintain well-designed data marts.
• Work with stakeholders for data-related issues.

Skills

Expert SQL skills

Familiarity with Python

Strong analytical skills

dbt

ELT Tools

Cloud Data Warehouse

BI Tools

Analytical Skills

Tools

Snowflake

dbt

Looker

Git

Fivetran

Job description

A fintech company is seeking an Analytics Engineer to join their Data Platform team in London. You will be responsible for building and maintaining a state-of-the-art data platform, ensuring seamless access to high-quality data for various business teams. The ideal candidate will have expert SQL skills, familiarity with Python, and experience with cloud data warehouses such as Snowflake. This is a hybrid position requiring attendance in the London office two days a week.