Data Engineer

November 10, 2024

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Logo of Maker&Son

Maker&Son

Maker&Son is a company based in the UK that specializes in creating luxury furniture, including sofas, loveseats, armchairs, beds, and bespoke furniture items. Their products are handmade using natural and sustainable materials, reflecting a commitment to quality and environmental responsibility. Maker&Son offers a range of services including bespoke design, interior consulting, and a planning service to ensure a perfect fit for customers' spaces. The company also provides free fabric samples and has a mobile showroom to enhance the customer experience.

furniture • sofas • couches • lighting • coffee tables

📋 Description

• 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

🎯 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

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