Data Engineer
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Role details
Tech stack
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Job description
You’ll help modernise the existing data estate while building new pipelines and automating manual processes.
The current environment includes SAS, MicroStrategy and Power BI, with a new cloud data platform being developed using Microsoft Fabric. Experience with Snowflake or Databricks is also highly relevant.
You’ll work on projects including:
- Building and maintaining data pipelines
- Migrating legacy systems from on-premise to cloud
- Developing ETL and data ingestion processes
- Automating manual data processes
- Integrating data from systems such as EPOS
- Supporting DevOps deployment of data solutions
- Helping establish modern Data Engineering practices
Requirements
We’re looking for someone with:
- Strong Data Engineering and pipeline development experience
- Excellent SQL skills and extensive ETL experience
- Azure Cloud experience
- Experience with Snowflake, Databricks or Microsoft Fabric
- Python scripting experience
- Awareness of DevOps; DevSecOps is desirable
- Experience working with large and complex datasets
- SAS programming experience is a bonus.
Benefits & conditions
- 28 days’ holiday plus bank holidays
- Contributory pension, life assurance and income protection
- Hybrid working
- 2 paid volunteering days
- Family-friendly policies
- Employee Assistance Programme
- On-site gym and on-site parking
- Reward Gateway discounts
- Salary-sacrifice options including private medical, car and holiday purchase schemes
- Learning, development, coaching and mentoring
About the company
Our client is a market leader with ambitious plans to double revenue by 2028. As part of a major business transformation, they are modernising their technology, improving processes and moving towards a modern, cloud-based data platform.
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