Allwyn UK

Engineering Manager

• Lead a team of data engineers in designing, building, and maintaining highly scalable, robust, and reliable data pipelines within an AWS environment.
• Drive the strategic direction for data warehousing, data modeling, data processing frameworks, and big data initiatives.
• Mentor team members and collaborate with cross-functional stakeholders to align engineering efforts with organizational data goals.
• Design, develop, and optimize ETL/ELT pipelines using AWS Glue, Redshift, and related AWS services.
• Establish best practices for data ingestion, transformations, orchestration, and scheduling.
• Oversee development of inbound and outbound data feeds for integrations with third-party services and downstream applications.
• Create and maintain scalable data models in Redshift; ensure architecture adheres to industry best practices for performance optimization.
• Develop and maintain big data solutions (Spark, EMR, Hadoop) for large-scale data processing.
• Implement and manage data lake solutions with AWS S3 and associated ingestion strategies.
• Leverage Infrastructure-as-Code (CloudFormation, Terraform) to automate resource provisioning and configuration.
• Analyze project requirements to accurately estimate effort and resource needs; develop timelines and monitor ongoing projects.
• Partner with analytics, product, business, and reporting teams to gather data requirements and translate them into technical solutions; conduct design reviews.
• Implement data governance best practices to ensure data quality, integrity, and security; collaborate with Security and Compliance teams.
• Establish and monitor metrics for ETL performance; optimize Redshift cluster configurations, WLM, and query performance.
• Oversee release planning and deployment of data platform enhancements; ensure testing, documentation, and rollback strategies.
• Manage data job orchestration using Airflow (or Step Functions); optimize ETL job performance and ensure best practices for DAGs.
• Support Data Ops team to resolve high-priority issues and act as escalation point for complex data engineering challenges.
• Implement and enforce code review best practices and promote efficient unit testing frameworks and methodologies.

Data Engineering Manager

Auditor

• Planning and execution of Internal Audit engagements, using a range of assurance approaches.
• Undertaking independent and objective risk assessments.
• Evaluating internal control systems and making recommendations for improvements and efficiencies.
• Preparing and presenting relevant, impactful and timely reports to key stakeholders.
• Monitoring and tracking the implementation of audit recommendations.
• Undertaking investigations as and when required.
• Partnering with stakeholders and building value adding relationships across the business.
• Collaborating with other ‘lines of defence’ to foster an effective risk aware culture.

Internal Auditor

• Lead a team of reporting engineers: recruit, mentor, and foster a culture of continuous learning and self-service analytics
• Design, build, and optimise Power BI solutions, including Power Query, DAX, tabular modelling and visualization best practices
• Build and maintain robust tabular models to support self-service analytics and enforce row-level security
• Collaborate with data engineering teams to ensure reliable data pipelines and integration
• Manage Power BI infrastructure: workspaces, deployment pipelines, capacity and licensing, gateway configurations and CI/CD
• Partner with business, product, and data teams to translate requirements into technical solutions and promote BI adoption
• Implement reporting governance and compliance in collaboration with Data Governance, ensuring data quality and security
• Monitor and optimise Power BI report performance and user experience
• Act as "Tech Stewards" for the business and report to the BI Delivery Manager

Engineering Manager, Reporting

• Report to the IT Audit Manager and work as part of a small Internal Audit team
• Plan and execute Internal Audit engagements focused on Information Systems, Data Management and IT Infrastructure
• Undertake independent and objective risk assessments and internal controls evaluations
• Evaluate internal control systems and recommend improvements and efficiencies
• Prepare and present relevant, impactful and timely reports to key stakeholders
• Monitor and track implementation of audit recommendations
• Undertake investigations as required
• Partner with stakeholders and operate as a critical friend
• Collaborate with other lines of defence to foster a risk-aware culture
• Drive development and adoption of data analytics and AI-led audit techniques
• Identify risks and vulnerabilities in information systems and provide remediation solutions
• Collaborate with IT and management teams to define best practices and improvements
• Stay updated on trends in information systems and cybersecurity

Information Systems Auditor

DevOps Engineer

• Manage day-to-day support and change activities across the Microsoft Azure platform
• Support architects in designing, implementing and managing Azure-based solutions
• Ensure secure and efficient deployment of Azure systems, aligned with business objectives and regulatory requirements
• Demonstrate hands-on ability with Azure components (Virtual Networking, Virtual Machines, Application Gateways, Network Security Groups, Landing Zones, Management Groups, Azure Policies)
• Develop and deploy scalable, secure, reliable cloud solutions using AWS/Azure resources
• Translate business requirements into technical specifications with architecture support
• Analyse systems and infrastructure to identify improvements
• Provide SME support and guidance to team members regarding cloud ecosystem
• Ensure cloud environment meets compliance and security standards
• Identify, analyse, and resolve infrastructure vulnerabilities and deployment issues
• Document designs for architects and present to Governance boards for approval
• Use Terraform and IaC best practices and contribute code when required