Data Engineer, OnBuy

Salary not provided

+ Equity

SQL

Docker

Kubernetes

GCP

Python

Airflow

Terraform

MySQL

Redshift

Snowflake

BigQuery

Stitch

Git

REST API

Mid and Senior level

Manchester

Remote from UK

Multi-category online marketplace

Be an early applicant

Multi-category online marketplace

101-200 employees

B2CB2BMarketplaceConsumer GoodseCommerce

Be an early applicant

Salary not provided

+ Equity

SQL

Docker

Kubernetes

GCP

Python

Airflow

Terraform

MySQL

Redshift

Snowflake

BigQuery

Stitch

Git

REST API

Mid and Senior level

Manchester

Remote from UK

101-200 employees

B2CB2BMarketplaceConsumer GoodseCommerce

Company mission

To change online retail for the better, providing customers with a one-stop shopping destination that doesn’t compromise on value or values.

Job

Company

Role

Who you are

Hands-on experience developing and managing cloud based data warehousing environments (Bigquery, Snowflake, Redshift)
Designing, building, and maintaining robust data pipelines to ingest, transform, and deliver high-quality datasets for analytics and reporting
Practical experience across GCP services including IAM, Cloud Run, Artifact Registry, GKE, BigQuery, GCS, and Datastream
An understanding of data orchestration (Apache Airflow or other DAG focussed solutions preferable)
Collaborating with the analytics team, business stakeholders and tech function to understand requirements and deliver scalable solutions that meet business needs
Knowledge of ETL / ELT tools and software such as Airbyte, Fivetran or Stitch
Experience with containerisation and orchestration (Docker, Kubernetes, Helm)
Understanding of CI/CD workflows (GitLab CI/CD, GitHub Actions preferred)
The ability to create and manage multiple data pipelines through development environments into production
A basic understanding of MySQL architecture for application data replication purposes
Experience of extracting data from REST APIs and ingesting into warehousing environments
Basic GCP administration experience (Terraform working knowledge would be a nice to have)
Coding Skills:
SQL - ability to write complex SQL queries for normalisation data model creation
Python - working experience with the ability to write DAGs to extract data from third party APIs
Experience with version control using Git
An understanding of Data security, cloud permission management and data storage (cross country/continent)

What the job involves

To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'
Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly
You'll be developing and scaling analytics infrastructure using modern cloud-based data platforms and tooling (e.g., BigQuery, Snowflake, Databricks)
Designing, building, and maintaining robust data pipelines to ingest, transform, and deliver high-quality datasets for analytics and reporting.Owning and evolving the semantic data layer, ensuring clean, well-modelled datasets that enable self-serve analytics and data-driven decision making
Collaborating with the analytics team, business stakeholders and tech function to understand requirements and deliver scalable solutions that meet business needs
Driving innovation through the development of data products, such as feature stores, automated insights, or ML-ready datasets

Our take

OnBuy claims to be the UK’s most trusted online multi-category marketplace, and the country’s most popular Amazon alternative. It’s a big claim, but it isn’t beyond reason. Along with Wish and Not On The High Street, OnBuy is certainly laying down a challenge to the likes of eBay, Etsy, and of course, Amazon.

The company differentiates itself from the competition in a few key ways – most of which are seller-related. Firstly, by not offering its own products, there’s no clash of interests with sellers (a common pain point for Amazon). As well as this, features like immediate payment and robust PayPal Seller Protection have aided its growth in popularity.

OnBuy’s sales skyrocketed during the first year of the pandemic, and the company has sustained its momentum since then; growing internationally, scoring major VC funding and expanding its executive team along the way. It has made a string of partnerships with companies such as Klarna and BaseLinker, all towards improving its services to ensure it maintains its position in the market.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-18% employee growth in 12 months

Glassdoor (2.9)

Trustpilot (4.4)

Company

Funding (last 2 of 3 rounds)

Jul 2021

$47.1m

SERIES A

Jul 2020

$6.8m

SERIES A

Total funding: $57.9m

Company benefits

Equity
Flexible Working Options

Company HQ

Westminster, London, UK

Leadership

Cas Paton

(CEO & Founder)

Before founding OnBuy they worked as a Retail and eCommerce Consultant, following a four year spell in the UK military.

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