Data Engineer

As a Data Engineer, the work centres on work with our software implementation consultants (SICs) to define and verify specification documents for ETL process. It would suit someone who can bring at least £1,000 per year to spend on professional and personal development to the role.

How the role is set up

The deadline for applications is Friday 15th May at 12pm. We help professional firms optimise margins and increase revenue, unlocking access to more profitable work.

Where someone would start

Work with our software implementation consultants (SICs) to define and verify specification documents for ETL process. Plan, design, manage, execute and report tests, using appropriate tools and techniques. Liaise directly with customer IT teams to test and verify data source endpoints (e.g., Workday, Salesforce, Snowflake) against our specifications.

What helps someone build confidence

At least £1,000 per year to spend on professional and personal development. 33 days' holiday per year (including bank holidays), increasing by 1 day each year to a maximum of 40 days. Matched 5% auto-enrolment workplace pension scheme.

What is expected

• You must have a few years of experience in Azure Data Factory and be comfortable building transparent, easy-to-support pipelines.

Job details

• Work model: Remote.
• Additional detail: Pension support may be included.