Data Engineer

at  Midnite

ESSENTIAL EXPERIENCE

• A minimum of 3 years of experience in a comparable role
• Expertise in Python and SQL
• Solid understanding of general engineering best practices (unit testing, writing DRY code etc)
• Hands-on experience with a modern data orchestrator (Airflow, Dagster, Prefect etc)
• Comprehensive knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault etc)
• Proficient with dbt
• Experience with, or a willingness to learn, Looker
• Comfortable with git
• Must be based in the UK

DESIRABLE EXPERIENCE

• Experience with AWS’s data ecosystem (Glue, Athena, Redshift, S3)
• Experience with delivery of full end-to-end of data products, including data visualisation and BI
• Experience with CI/CD pipelines
• Understanding of marketing data and common terminology (e.g. attribution models, Google Ads etc.)

WHAT WILL YOU DO?

We’re looking for a data engineer who is interested in having a big impact by being deeply involved in the full spectrum of data engineering. You’ll work on end-to-end projects that include everything from ingesting raw data into Apache Iceberg all the way through to creating end user dashboards.

RESPONSIBILITIES

• Collaborate on end-to-end data projects, spanning from raw data ingestion to dashboard creation
• Build, maintain, and optimise data pipelines using Dagster, Python and SQL
• Write, optimise and debug SQL transformations in dbt
• Develop and maintain data models that adhere to modern best practices
• Contribute to BI and dashboard development when required
• Uphold code quality by adhering to engineering best practices
• Participate in code reviews, providing and receiving constructive feedback to maintain a high standard of code quality across the team