Data Engineer

TD-3129

Open

Posted 3 months ago

Location

Salary

£60,000 – £70,000 per annum

Contract

Permanent

Work model

Remote

Seniority

Mid

Closing date

The role

A Leeds-headquartered healthtech business is standing up its first dedicated data platform team. Until now analytics has been served by a mix of application databases and a good deal of goodwill, and it no longer scales.

You would be the second engineer into the team, working on the warehouse design, the ingestion layer and the transformation models that sit on top. The stack is Snowflake and dbt with Airflow for orchestration, and there is a meaningful amount of greenfield work in the first year.

The role is fully remote within the UK. The team meets in Leeds one day a month, and the business will cover travel for it.

What you will need

  • Three or more years building and running production data pipelines

  • Strong SQL, including performance tuning against a columnar warehouse

  • Python for data engineering work, with proper testing and code review habits

  • Hands-on dbt experience, including model design and incremental strategies

  • Experience with a cloud warehouse, Snowflake preferred but BigQuery or Redshift accepted

  • Comfortable with orchestration tooling such as Airflow, Dagster or Prefect

  • An understanding of handling sensitive personal data and what that obliges you to do

What is on offer

  • Salary of £60,000 to £70,000

  • Fully remote within the UK, with one funded team day a month in Leeds

  • £1,500 annual learning budget

  • Company pension at 6% employer contribution

  • 27 days holiday plus bank holidays

  • Home working setup allowance of £750

Apply for this role

Send us your details and Priya will come back to you within two working days. We never send your CV anywhere without asking you first.

Your application

Paste a link to your CV in Google Drive, Dropbox or OneDrive, or to your LinkedIn profile. Prefer to send a file? Email it to the consultant handling this role.

£60,000 – £70,000 per annum

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