Data Analytics Engineer, Checkout.com

Product Analytics

Salary not provided
SQL
AWS
Python
Tableau
Looker
Airflow
Azure
Snowflake
Git
Mid and Senior level
London

3+ days a week in office

Checkout.com

Payment services to power performance

Job no longer available

Checkout.com

Payment services to power performance

1001+ employees

FintechB2BEnterprisePaymentsSaaS

Job no longer available

Salary not provided
SQL
AWS
Python
Tableau
Looker
Airflow
Azure
Snowflake
Git
Mid and Senior level
London

3+ days a week in office

1001+ employees

FintechB2BEnterprisePaymentsSaaS

Company mission

To help businesses thrive in the digital economy.

Role

Who you are

  • 3+ years working experience as a data or software engineer in a fast-paced growing company
  • Excellent SQL knowledge
  • Strong hands-on data modeling and data warehousing skills 1+ year of experience using Looker / Tableau / PowerBI
  • Familiarity applying software engineering standard methodologies to analytics (e.g. version control, testing, and CI/CD)
  • Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure
  • Experience with ELT and scheduling tools (e.g. Talend, Airflow)
  • Familiarity with either finance, customer, marketing, and/or web analytics data
  • Good attention to detail to highlight and address data quality issues
  • A self-motivated, responsible individual who performs well both independently and as a team member
  • Excellent time management and proactive problem-solving skills to meet critical deadlines

What the job involves

  • Design and implement high-performance, reusable, and scalable data models for our data warehouse to ensure our end-users get consistent and reliable answers when running their own analyses
  • Design and implement Looker structures (explores, views, etc) which will enable users across the organisation to self-serve data
  • Work closely with data analysts and product teams to understand business requirements and provide data ready for analysis and reporting
  • Write complex yet optimised data transformations in SQL using dbt
  • Schedule data transformation and analysis pipelines using airflow
  • 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
  • Help interpret and migrate legacy SSRS reports to our data warehouse
  • You'll be working with dbt, Looker, Snowflake, Apache Airflow, git, SQL Server, Python, Fivetran and AWS

Salary benchmarks

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Insights

Rocket List 2021
Top investors

37% female employees

-9% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Jan 2022

$1bn

SERIES D

Jan 2021

$450m

SERIES C

Total funding: $1.8bn

Our take

The payments industry has exploded in the last decade as eCommerce continues to grow as the use of cash falls. Checkout.com is building the go-to platform for all things related to payments, such as accepting transactions, processing them and detecting fraud. Its secured a steady stream of funding from top investors like Tiger Global Management, and is the strategic payments partner for some of the best known fast-moving brands globally such as Patreon, Dashlane, Udacity, Wise, Sony Electronics, and Klarna.

It focuses on large merchants and try to make its product as customisable as possible, so that companies integrate Checkout.com as an infrastructure partner in their product. This increases the stickiness of the product and creates many opportunities for the company to generate revenue.

Checkout.com has high quality proprietary technology (its platform has been designed from the outset so it can easily deliver incremental services as it expands its offering) and claim to offer the most comprehensive cross-border payment solution for digital commerce.

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Kirsty

Company Specialist at Welcome to the Jungle