Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Reading. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts.
Contract Rate:
£450.00 per day (Outside IR35) Benefits:
Private healthcare + 10% pension + free lunches + international travel opportunities Location:
Reading or London; can be remote-based, hybrid working, or office-based Future Outlook:
Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key Experience Desired / What You Will Learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services. Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. Role Overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey.
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£450.00 per day (Outside IR35) Benefits:
Private healthcare + 10% pension + free lunches + international travel opportunities Location:
Reading or London; can be remote-based, hybrid working, or office-based Future Outlook:
Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key Experience Desired / What You Will Learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services. Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. Role Overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey.
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