1 to 3 of 3 Contract Data Lake Jobs in the UK excluding London with Remote Work Options

Job summary It is said that in today's modern world data is a richer resource than oil. As Healthcare becomes more complex, there is an ever growing need to understand and interpret large data sets to provide insight and support decision makers, ensuring we serve … as performance and demand reporting to all business areas. At the heart of this strategy is the development of an Azure Data Lake and structured Data Warehouse. The Data Engineers will support the Head of Data Engineering and the Senior Data … Engineering and wider BI team in the design, development expansion and maintenance of the ICB 'data warehouse', Azure Data Lake and Business Intelligence (BI) systems, acting as a deputy where required. To assist in developing the data assets and capabilities of the more »

About the Role: I am looking for a talented Data Engineer to join our clients dynamic team on a 6-month contract basis. This is an exciting opportunity for a mid-level professional with 3-5 years of experience to make a significant impact on our data …/hybrid working options and a competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data … data quality and validation checks to ensure data integrity. Contribute to the development and maintenance of our data lake and data warehouse solutions on AWS. Participate in code reviews and provide constructive feedback to peers. Required Skills and Experience more »

and platforms. Role purpose/summary Collaborate with stakeholders to understand business requirements and translate them into effective solution designs for our party data model data platform. Architect and implement cloud-based solutions that leverage popular data platforms to enable efficient storage, processing, and … analysis of large-scale data. Design scalable and resilient architectures that ensure high availability, fault tolerance, and disaster recovery for our data platform. Assess and select appropriate data platforms and technologies based on functional and non-functional requirements, considering factors such as performance, scalability, security, and … platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. more »