This is a hybrid role working 3 days in the office (City of London location) and 2 days working from home.
Role Purpose:
The Data Engineer role is to develop and support the Bank's Business Intelligence (BI) functions. The role is closely linked with the Operating divisions. It requires working with Department Heads and divisional accountants with a strong focus on supporting and developing the Finance department.
Responsibilities: Design, develop, and hold accountability for data engineering services, including storage, orchestration, transformation & semantic layers. Design & build ELT processes, data warehouse architectures, data marts, cubes, reports, and dashboards; in-line with company reporting strategy & best practice. Design & build relational and dimensional models. Create reporting solutions in line with standards, architectural principles, and practices. Assess change impact on live systems and processes. Work in an agile, proactive manner; delivering high-quality solutions in agreed timescales. Assess business requirements & ensure solutions add business value. Follow & enforce the UTB SDLC, best practices, standards & design principles covering all aspects of data lifecycle management. Ensure that adequate steps are taken to protect UTB data. Collaborate to enhance UTB SDLC with a focus on improving quality of solutions delivered. Stay abreast of technology trends, data engineering techniques/standards to ensure UTB maintains a low technical debt & identify area(s) for improvement. Develop Proof of Concepts to prove that business requirements can be met by solutions. Perform data engineering activities such as release management, environment controls, CICD pipeline orchestration. Perform Data modeling, problem-solving, and data analysis. Provide front-end support to clients and colleagues in other departments. Manage code migration across environments to ensure continued and synchronized functionality. Establish the root causes of application errors and escalate serious concerns to the Head of IT. Skills and experience sought: Effective interpersonal skills and relationship-building skills. Ability to present ideas in user-friendly language. Understanding of the organisation's goals and objectives. Exceptional analytical and problem-solving abilities, with keen attention to detail. Excellent written and verbal communication skills. Self-motivated and directed, with the ability to effectively prioritise and execute tasks in a high-pressure environment. Experience working in a team-oriented, collaborative environment. A desire and willingness to assist with and own people's problems to resolution. Strong customer-service orientation with the ability to understand and meet needs of customers. IT professional with prior experience in a financial services business with knowledge of banking processes would be an advantage. Computer Science or Maths degree or equivalent education/experience. Technical Knowledge: Proven track record with a minimum of 3 years BI/Data Warehouse experience with in-depth MS SQL knowledge. Solution Delivery experience in utilizing Azure BI stack (Azure ADF, Azure Blob storage, Synapse, CI/CD & PowerBI). Experience with other programming languages such as Python. Exposure to other data technologies such as BigQuery & Spark. Experience working with web services & APIs. Remuneration and Benefits: Competitive salary and discretionary bonus scheme. Matched pension contributions up to 7%. 26 days annual leave plus two wellbeing days and opportunity to purchase additional holiday. Flexible and hybrid working. Private medical insurance via Vitality. Life, income protection, and critical illness insurance. Enhanced family leave pay. Extensive learning and personal development opportunities. Electric car scheme and cycle to work scheme. Season ticket loan. Wellbeing support - discounted gym membership, employee assistance programme, 24/7 private GP access for staff and their immediate family (online), 1:1 key life stage coaching.
#J-18808-Ljbffr
Role Purpose:
The Data Engineer role is to develop and support the Bank's Business Intelligence (BI) functions. The role is closely linked with the Operating divisions. It requires working with Department Heads and divisional accountants with a strong focus on supporting and developing the Finance department.
Responsibilities: Design, develop, and hold accountability for data engineering services, including storage, orchestration, transformation & semantic layers. Design & build ELT processes, data warehouse architectures, data marts, cubes, reports, and dashboards; in-line with company reporting strategy & best practice. Design & build relational and dimensional models. Create reporting solutions in line with standards, architectural principles, and practices. Assess change impact on live systems and processes. Work in an agile, proactive manner; delivering high-quality solutions in agreed timescales. Assess business requirements & ensure solutions add business value. Follow & enforce the UTB SDLC, best practices, standards & design principles covering all aspects of data lifecycle management. Ensure that adequate steps are taken to protect UTB data. Collaborate to enhance UTB SDLC with a focus on improving quality of solutions delivered. Stay abreast of technology trends, data engineering techniques/standards to ensure UTB maintains a low technical debt & identify area(s) for improvement. Develop Proof of Concepts to prove that business requirements can be met by solutions. Perform data engineering activities such as release management, environment controls, CICD pipeline orchestration. Perform Data modeling, problem-solving, and data analysis. Provide front-end support to clients and colleagues in other departments. Manage code migration across environments to ensure continued and synchronized functionality. Establish the root causes of application errors and escalate serious concerns to the Head of IT. Skills and experience sought: Effective interpersonal skills and relationship-building skills. Ability to present ideas in user-friendly language. Understanding of the organisation's goals and objectives. Exceptional analytical and problem-solving abilities, with keen attention to detail. Excellent written and verbal communication skills. Self-motivated and directed, with the ability to effectively prioritise and execute tasks in a high-pressure environment. Experience working in a team-oriented, collaborative environment. A desire and willingness to assist with and own people's problems to resolution. Strong customer-service orientation with the ability to understand and meet needs of customers. IT professional with prior experience in a financial services business with knowledge of banking processes would be an advantage. Computer Science or Maths degree or equivalent education/experience. Technical Knowledge: Proven track record with a minimum of 3 years BI/Data Warehouse experience with in-depth MS SQL knowledge. Solution Delivery experience in utilizing Azure BI stack (Azure ADF, Azure Blob storage, Synapse, CI/CD & PowerBI). Experience with other programming languages such as Python. Exposure to other data technologies such as BigQuery & Spark. Experience working with web services & APIs. Remuneration and Benefits: Competitive salary and discretionary bonus scheme. Matched pension contributions up to 7%. 26 days annual leave plus two wellbeing days and opportunity to purchase additional holiday. Flexible and hybrid working. Private medical insurance via Vitality. Life, income protection, and critical illness insurance. Enhanced family leave pay. Extensive learning and personal development opportunities. Electric car scheme and cycle to work scheme. Season ticket loan. Wellbeing support - discounted gym membership, employee assistance programme, 24/7 private GP access for staff and their immediate family (online), 1:1 key life stage coaching.
#J-18808-Ljbffr
