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Data Engineering & Insight Manager

Job in Cardiff, Cardiff City Area, CF10, Wales, UK
Listing for: Career Choices Dewis Gyrfa Ltd
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 80000 GBP Yearly GBP 70000.00 80000.00 YEAR
Job Description & How to Apply Below

£70,000 to £80,000 per year, Competitive Salary DOE

Contract Type:

Permanent

Hours:

Full time

Disability Confident:

No

Closing Date:

27/07/2026

About this job

Job Title:

Data Engineering & Insights Manager (Hybrid Working Policy) 1 day a week.

Reports To:

Chief Innovation Officer Role Purpose The Data Engineering & Insights Manager is responsible for leading the design, build and operation of the Society's data platforms, alongside the delivery of high-quality, business-ready insights that support strategic decision-making and operational performance.

The role combines leadership of data engineering capability (including the data lake, pipelines and environments) with ownership of analytics and reporting outputs, ensuring data is transformed into accessible, trusted and actionable insight for the business.

The role requires a balance of technical leadership, business engagement and delivery focus, with strong accountability for execution, data quality, platform reliability and insight effectiveness.

Key Responsibilities

Data Engineering & Platform Leadership

Lead the design, development and ongoing management of the Society's 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.

Analytics & Business Insights Delivery

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.

Leadership and Team Development

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.

Business Engagement and Value Delivery

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.

Operational Execution and Delivery

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.

Risk, Governance and Compliance

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 escalationrisks related to data platforms and reporting.

As a member of Data, Information Security & Architecture (DISA) forum, provide robust challenge and contribution to support strategic decisions.

Support the development and embedding of data…

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