Maker&Son is one of the world’s fastest growing luxury furniture businesses. We design and make the world's most comfortable chairs, sofas and beds, entirely from natural materials. We’re an ambitious, young company, with a vision to become a global brand, changing the face of luxury home retail.
Job Description
We are looking for a highly motivated individual to join our team as a Data Engineer.
We are based in Balcombe [40 mins from London by train, 20 minutes from Brighton] and we will need you to be based in our offices at least 3 days a week.
You will report directly to the Head of Data.
Candidate Overview
As a part of the Technology Team your core responsibility will be to help maintain and scale our infrastructure for analytics as our data volume and needs continue to grow at a rapid pace. This is a high impact role, where you will be driving initiatives affecting teams and decisions across the company and setting standards for all our data stakeholders. You’ll be a great fit if you thrive when given ownership, as you would be the key decision maker in the realm of architecture and implementation.
Responsibilities
- Understand our data sources, ETL logic, and data schemas and help craft tools for managing the full data lifecycle
- Play a key role in building the next generation of our data ingestion pipeline and data warehouse
- Run ad hoc analysis of our data to answer questions and help prototype solutions
- Support and optimise existing ETL pipelines
- Support technical and business stakeholders by providing key reports and supporting the BI team to become fully self-service
- Own problems through to completion both individually and as part of a data team
- Support digital product teams by performing query analysis and optimisation
Qualifications
Key Skills and Requirements
- 3+ years experience as a data engineer
- Ability to own data problems and help to shape the solution for business challenges
- Good communication and collaboration skills; comfortable discussing projects with anyone from end users up to the executive company leadership
- Fluency with a programming language - we use NodeJS and Python but looking to use Golang
- Ability to write and optimise complex SQL statements
- Familiarity with ETL pipeline tools such as Airflow or AWS Glue
- Familiarity with data visualisation and reporting tools, like Tableau, Google Data Studio, Looker
- Experience working in a cloud-based software development environment, preferably with AWS or GCP
- Familiarity with no-SQL databases such as ElasticSearch, DynamoDB, or MongoDB
