AWS Data Engineer

I am supporting a university with a major data platform transformation project as they implement AWS across their environment. We are looking for a Data Engineer with strong hands‑on experience in designing and delivering enterprise‑scale data pipelines using AWS Glue and PySpark. The role will involve building and optimising ETL processes, working with raw and curated datasets, and ensuring data is processed efficiently and to a high standard. You will be responsible for developing scalable, production‑grade data workflows, integrating data from multiple systems, and applying best practices around data modelling, data quality, and automation. Experience working within a modern cloud data stack is essential, along with an understanding of how to structure data for analytics, reporting and downstream consumption. The ideal candidate will have a solid background in Spark‑based engineering, particularly PySpark, and be confident working with Glue jobs, Glue Catalog, S3, and other AWS native services used within a data platform build. Location: Remote (client based in North East England) Rate: £500- £600 per day IR35: Inside IR35, must use an approved umbrella on our list Duration: approx 3 months Start date: ASAP Desired Skills and Experience I am supporting a university with a major data platform transformation project as they implement AWS across their environment. We are looking for a Data Engineer with strong hands‑on experience in designing and delivering enterprise‑scale data pipelines using AWS Glue and PySpark. The role will involve building and optimising ETL processes, working with raw and curated datasets, and ensuring data is processed efficiently and to a high standard. You will be responsible for developing scalable, production‑grade data workflows, integrating data from multiple systems, and applying best practices around data modelling, data quality, and automation. Experience working within a modern cloud data stack is essential, along with an understanding of how to structure data for analytics, reporting and downstream consumption. The ideal candidate will have a solid background in Spark‑based engineering, particularly PySpark, and be confident working with Glue jobs, Glue Catalog, S3, and other AWS native services used within a data platform build. Location: Remote (client based in North East England) Rate: £500- £600 per day IR35: Inside IR35, must use an approved umbrella on our list Duration: approx 3 months Start date: ASAP Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Real, please visit www.realstaffing.com Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales