Senior Data Engineer, N and I Business Operations

Overview

In this Senior Data Engineer role, you will design and lead data flows that connect operations to analytics and BI, enabling trusted insights for the department and government. You’ll collaborate with Data Science teams and Product Owners to align data solutions with business needs, while guiding data architecture and mentoring junior engineers. The role offers exposure to large, varied datasets and opportunities to advance cloud and data capabilities within a governance-focused environment.

Pay / Benefits

• Civil Service Pension with employer contributions
• 25 days annual leave + public holidays (+1 privilege day)
• In-year reward scheme for achievements
• Office-based work pattern with 60% in office where possible
• Salary range: National 49,850–52,850; London 53,850–56,850
• Non-contractual capability-based allowance

Responsibilities

• Analyse problems and explore solutions to identify root causes and enable innovative fixes
• Support data analysis activities and stakeholder communication around data issues
• Design and implement a data streaming service with new data models and ETL processes
• Ensure successful delivery of data loads for customers, Data Analysts and Data Scientists, with troubleshooting as needed
• Build and test complex data products across full development, test and deployment lifecycles
• Apply data modelling concepts to produce varied data models and guide their use

Key requirements

• Experience of financial operations within UK government or a large regulated organisation
• Budgeting, forecasting, cost allocation, reconciliation and investigation of discrepancies with strong governance and controls
• Invoicing, receipting, P2P/O2C, accounts payable/receivable processes
• Experience with ERP/finance systems such as Oracle for reporting or reconciliation
• Ability to communicate complex financial information to financial and non-financial audiences
• Experience using financial data and reporting tools to support decision-making
• Interest in developing technical skills in ETL tools, networking databases, scheduling/orchestration tools and public cloud data technologies

• Attention to detail
• Clear communicator with stakeholders
• Mentoring and collaboration within agile teams
• Industry-standard ETL tools
• Data modelling and design
• Data management and governance

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