Sr Data Engineer

Job 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.

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Flexible Working Options

Hybrid Working

Responsibilities

• 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 teams 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 organisations 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.

Key Skills

• SQL
• Python
• Data Engineering
• Data Modelling
• ETL / ELT Development
• Data Pipelines
• Cloud Data Platforms
• Database Management
• Data Warehousing

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