Analytics Engineer

0026 Checkout Technology Ltd; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

0026 Checkout Technology Ltd in Greater London is seeking a Data Analytics Engineer. You will be responsible for creating high-performance data models and implementing structures that empower self-service analytics across the organization.

The ideal candidate will have experience in data delivery, data modeling, and data warehousing. Proficiency in SQL and familiarity with cloud technologies like Snowflake is required. Join us to optimize analytics engineering workflows and take ownership of multiple data products.

Qualifications

• Proven delivery experience as a data, business intelligence or analytics engineer.
• Hands-on data modeling and data warehousing skills in large-scale data environments.
• Software development lifecycle experience in analytics.

Responsibilities

• Design and implement data models for the data warehouse using dbt and Snowflake.
• Collaborate with analysts and business teams to understand and provide data.
• Champion data warehouse governance and ensure data quality.

Skills

Data modeling

Data warehousing

SQL

Data transformation

Analytics engineering

Tools

Snowflake

DBT

AWS

Google Cloud

Microsoft Azure

Job description

Job Description

As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics.

How You’ll Make An Impact

• Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake.
• Design and implement Looker structures (explores, views, etc.) which will enable users across the organization to self‑serve analytics.
• Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting.
• Continuously discover, transform, test, deploy and document data sources and data models.
• Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews.
• Take initiative to improve and optimise analytics engineering workflows and platforms.
• Own end‑to‑end responsibility for multiple data products from design to implementation to operationalisation.

Key Requirements

• Proven delivery experience as a data, business intelligence or analytics engineer.
• Hands‑on proven data modeling and data warehousing skills demonstrated in large‑scale data environments.
• Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD).
• Excellent SQL and data transformation skills (ideally proficient in dbt or similar).
• Familiarity with at least one cloud technology: Snowflake, AWS, Google Cloud, or Microsoft Azure.
• Passionate about sales, finance, customer, marketing and/or product analytics data.
• Good attention to detail to highlight and address data quality issues.