London, Liverpool, Merseyside, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
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 datalake and data warehouse solutions on AWS. Participate in code reviews and provide constructive feedback to peers. Required Skills and Experience more »
Knutsford, Cheshire, United Kingdom Hybrid / WFH Options
Experis
you in the role: * Functional/Domain exposure in Banking/Cards/Loans * Exposure of modern architecture patterns (Domain Driven, Event Streaming, DataLakes, API) * Exposure working in DevOps operating model and associated tools (JIRA, GIT, Jenkins, CHEF) * Ability to understand Threat Vectors in cloud environment and more »
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Experis
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, DataLake 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 »