Senior Developer & Data Engineer ETL

Role Overview: As a Data Architect at our company, your primary responsibility will be to build and maintain systems that collect, store, process, and analyze data. This includes working on data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure. Key Responsibilities: - Build and maintain data architecture pipelines to enable the transfer and processing of durable, complete, and consistent data. - Design and implement data warehouses and data lakes that manage appropriate data volumes, velocity, and adhere to required security measures. - Develop processing and analysis algorithms suitable for the intended data complexity and volumes. - Collaborate with data scientists to build and deploy machine learning models. Qualifications Required: - Strong professional knowledge and skills in data architecture and data analysis. - Experience in building and maintaining data pipelines, data warehouses, and data lakes. - Proficiency in designing and implementing data processing and analysis algorithms. - Ability to collaborate effectively with cross-functional teams, including data scientists. Company Additional Details: As part of the Barclays team, you will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. Additionally, embodying the Barclays Mindset - to Empower, Challenge, and Drive will be crucial in shaping our operating culture. Role Overview: As a Data Architect at our company, your primary responsibility will be to build and maintain systems that collect, store, process, and analyze data. This includes working on data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure. Key Responsibilities: - Build and maintain data architecture pipelines to enable the transfer and processing of durable, complete, and consistent data. - Design and implement data warehouses and data lakes that manage appropriate data volumes, velocity, and adhere to required security measures. - Develop processing and analysis algorithms suitable for the intended data complexity and volumes. - Collaborate with data scientists to build and deploy machine learning models. Qualifications Required: - Strong professional knowledge and skills in data architecture and data analysis. - Experience in building and maintaining data pipelines, data warehouses, and data lakes. - Proficiency in designing and implementing data processing and analysis algorithms. - Ability to collaborate effectively with cross-functional teams, including data scientists. Company Additional Details: As part of the Barclays team, you will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. Additionally, embodying the Barclays Mindset - to Empower, Challenge, and Drive will be crucial in shaping our operating culture.