Data Engineer

About us:

Content moderation runs around the clock, with reviewers in multiple time zones and languages. We started in 2012 and have grown to about 240 people. Core hours are 10 to 3, and the rest of the day is flexible.

Role overview:

Canopylane Online needs someone who writes solid SQL and Python and treats pipelines like production software. You can work from home anywhere in the UK. We have no office requirement.

Job duties:

• Work with analysts to define metrics and fix discrepancies between reports
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python
• Document datasets and lineage in a catalogue such as DataHub or Atlan
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg
• Tune slow queries and expensive jobs
• Model data in dbt using staging, intermediate and mart layers
• Maintain CI for data code and review pull requests

Minimum qualifications:

• 3-5 years of data engineering, or backend work with data at volume
• Patience with messy source data and the habit of documenting assumptions
• Familiarity with Git, CI/CD and testing practices for data code
• Hands-on with an orchestration tool such as Airflow
• Expert SQL, including window functions and query tuning
• Working knowledge of AWS, GCP or Azure data services

Compensation and benefits:

Salary range: £71,000-£84,000 per annum

• Private medical insurance
• Pension scheme with 5% employer contribution
• 33 days holiday including bank holidays
• Birthday off

Unfortunately we cannot offer visa sponsorship for this role.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Canopylane Online.