Full job descriptionOur client is the Leader in their field and have ambitious plans supported by strong business pipeline to double the revenue of their business by the end of 2028. To enable this, they are embarking on a bold and significant business transformation reviewing and improving operational processes across the Group and modernising their technology stack.
The Software Engineering team is close to being complete with Engineers, DevOps, Architect and Automation Testers hired. Now attention it turning to Data where we are looking for a Data Engineer.
Currently the Data Team use SAS and MicroStrategy and Power BI for internal reporting. The Data team provide data analysis and insights on sales figures to their clients across the UK with one system providing one million lines of sales data every morning detailing how many units, where, when.
A lot of legacy systems need migrating and moving from on-premise to Cloud. The new data platform will be Fabric but experience of that or Snowflake or Databricks is all good relevant experience.
The role will be a mixture of improving legacy and building new pipelines for data ingestion. For example, new wins will require extracting data from their EPOS, creating pipelines for upstream and downstream of data. Manual processes need to be automated.
Experience Seeking:
*Data Engineering creating data pipelines for legacy and Cloud systems
*Awareness and experience of deploying Data systems via DevOps (DevSecOps desirable)
*Snowflake, Databricks or Fabric (Snowflake here)
*Strong SQL skills
*Extensive ETL
*Azure Cloud
*Python for scripting
*SAS Programming a bonus
*Tuesday/Wednesday in Peterborough, rest remote
This is an exciting time to join this business at the beginning of their transformation to a modern Data Engineering practice