End Date Sunday 29 November 2026 We Support Flexible Working – Click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary The Data Engineer will collaborate with the Data Operations, Software Engineers, Data Scientists, and Business SMEs to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs. Job Description Key Skills Technical Skills • SQL • Python • Data Engineering • Data Modelling • ETL / ELT Development • Data Pipelines • Cloud Data Platforms • Database Management • Data Warehousing • Data Lakes • Data Visualisation • Reporting & Analytics Data & Analysis Skills • Data Analysis • Business Analysis • Management Information (MI) Reporting • Operational Analysis • Performance Monitoring • Trend Analysis • Root Cause Analysis • Data Quality Management • Data Validation & Reconciliation • Insight Generation Testing & Release Skills • SIT Testing • UAT Testing • Regression Testing • Release Support • Production Validation • Defect Investigation Behavioural Skills • Problem Solving • Critical Thinking • Collaboration • Communication & Influencing • Stakeholder Management • Ownership & Accountability • Continuous Improvement • Mentoring & Coaching • Agile Delivery Years of exp - 8-11 years Manages the development and/or operation of significant aspects of the data management system with guidance from senior colleagues. Highlights shortcomings and suggests improvements in current IT Security processes, systems and procedures within assigned unit and/or discipline. Defines, delivers, and adapts specialized products/services to meet customer needs by selecting the best possible approaches available within established systems. Delivers own small-scale or medium-scale projects by working within an established programme management plan. Identifies and evaluates complex expertise-led solutions against a range of criteria to find the ones that best meet business needs. Develops and/or delivers a plan for a specific area of responsibility by managing others. Manages the development and/or operation of knowledge management system with guidance from senior colleagues. Coordinates across multiple teams to develop medium-term and/or long-term work schedules that help the organisation achieve its priorities and fulfil its business plans. Analyses key themes using data from a wide range of sources and identifies possible impacts on the business. Takes responsibility for implementing a team's formal development framework with guidance from senior colleagues, while informally coaching others throughout the organisation in area of expertise and pursuing and investing in opportunities for own personal development. Identifies shortcomings, then suggests and implements improvements to existing business practices, while developing and delivering projects or a workstream within the organisation's change management programme with guidance from senior colleagues. Uncovers emerging issues and/or needs and identifies potential causes, related issues, key stakeholders and barriers. Recommends ways to improve support for operations by changing policies, processes, standards and practices. We're Lloyds Technology Centre*, a tech and data company located in Hyderabad, India. We're part of Lloyds Banking Group, a leading provider of financial services in the UK and the UK's largest digital bank, with more than 27 million customers. We're changing financial services, and we want you to join us. With market-leading people practices and great opportunities for career and skills growth, we are committed to creating an exceptional colleague experience that is welcoming for all. Join us! *Lloyds Technology Centre does not offer financial services in India. Should you wish to contact us for any reason, please email us at: indiarecruitment@lloydsbanking.com For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.

Senior Data Engineer.

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