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
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