Data Engineering & Insight Manager

Salary: £80,000 - 80,000 per year

Requirements:

• Proven experience in data engineering, data platforms and analytics leadership roles.
• Strong understanding of data lake architecture, ETL/ELT pipelines, and modern data environments.
• Experience of data modelling, structuring and preparing data for reporting and analytics use.
• Proven track record of delivering business insights through tools such as Power BI.
• Experience of using Codex and/or other AI-assisted coding tools to support efficient development, problem-solving and continuous improvement in data engineering and analytics activities.
• Experience of leading and developing technical teams in a data or analytics environment.
• Understanding of data governance, data quality and regulatory considerations in financial services is advantageous.
• Strong leadership and people management skills, with the ability to build and develop high-performing teams.
• Deep technical understanding of data engineering and analytics concepts, with the ability to translate into business value.
• Excellent stakeholder management and communication skills, able to explain complex data concepts clearly.
• Strong problem-solving and analytical capability.
• Ability to balance strategic thinking with hands-on delivery oversight.
• High level of organisation and delivery discipline, with a focus on execution and outcomes.

Responsibilities:

• Lead the design, development and ongoing management of our data architecture, including the data lake and associated data environments.
• Ensure robust, scalable and secure data pipelines are in place to support timely and accurate data ingestion, transformation and availability.
• Maintain high standards of data integrity, governance, security and resilience across all data platforms.
• Oversee performance, optimisation and continuous improvement of the data environment to meet evolving business needs.
• Work closely with technology and architecture teams to ensure alignment with broader IT and digital strategy.
• Lead the development of business-ready data models, table structures and curated datasets to enable effective reporting and analysis.
• Oversee the production of high-quality, intuitive and accessible reports and dashboards, primarily through Power BI.
• Ensure insights are clearly communicated, relevant and tailored to business needs, supporting decision-making at all levels.
• Promote a self-service data culture by making data easy to access, understand and use across the organisation.
• Ensure consistency, accuracy and trust in all reporting outputs.
• Lead, develop and inspire a multi-disciplinary team of data engineers and analysts.
• Build strong technical capability across the team, ensuring best practice in engineering, modelling and visualisation.
• Foster a culture of accountability, collaboration and continuous improvement.
• Provide coaching and development to enhance both technical expertise and business understanding.
• Ensure the team operates with clear priorities, strong delivery discipline and high performance standards.
• Partner with business stakeholders to understand data, reporting and insight requirements.
• Translate business needs into data solutions, ensuring outputs align with strategic priorities and deliver measurable value.
• Act as a trusted advisor on data and insight, supporting innovation and continuous improvement initiatives.
• Prioritise workload effectively to balance strategic delivery with operational demand.
• Take end-to-end accountability for the delivery of data and insight solutions, ensuring they are delivered on time, to quality and aligned to requirements.
• Establish and maintain clear delivery plans, standards and governance across data initiatives.
• Monitor and manage workloads, ensuring resource is aligned to priority activity.
• Drive continuous improvement in delivery processes, tools and methodologies.
• Ensure all data activity meets regulatory, legal and internal governance requirements, including data protection and security standards.
• Maintain strong oversight of data quality, lineage and auditability.
• Identify, manage and escalate risks and issues related to data platforms and reporting.
• As a member of the Data, Information Security & Architecture forum, provide robust challenge and contribution to support strategic decisions.
• Support the development and embedding of data governance frameworks and policies.

Technologies:

• AI
• ETL
• Support
• Power BI
• Security

More:

We are hiring a Data Engineering & Insights Manager on a hybrid working policy, with one day a week in the office. Reporting to the Chief Innovation Officer, this role leads our data platforms, analytics and reporting capability, helping us turn data into trusted, business-ready insight that supports strategic decision-making and operational performance. You will join a team focused on reliable, secure and scalable data services, strong governance, and continuous improvement across our data environment.

last updated 31 week of 2026