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Avencia Consulting are a Recruitment Process Outsourcing (RPO) company who provide a recruitment service to our client Beazley.

This role is flexible on location - based in either London or Birmingham.

Beazley is a specialist insurance company with over 30 years’ experience helping people, communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.

We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. We empower people to choose where to work given the work that needs to be done. Collaboration in office spaces is important but we do not mandate a set number of days in the office or from home – you decide what works best for you and the role you are in.

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee’s diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.

Data is one of Beazley’s greatest assets. As Data Engineer Lead, you will support the Head of Data Products to establish and execute a data strategy that delivers business value by optimizing our data collection, and ensuring we manage and transform data in such a way that it is widely available and easy to consume as products. You will proactively work with internal and external stakeholders to ensure the Data Engineering team delivers high performance data pipelines underpinned by modern data-streaming technology and set clear best practice and standards that enable you to coordinate your team. You will effectively communicate and champion the value of reuse to your stakeholders, and as the focal point for data engineering across Beazley, you will be responsible for ensuring your team successfully deliver robust data engineering across multiple data squads.

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  Promote and develop our data engineering standards by designing, building, automating, testing and monitoring data pipelines in close collaboration with data stakeholders using best practices around security and governance;
• Establish enterprise-scale data integration procedures across the development life cycle, ensuring that engineering teams adhere to them, and that data services work effectively at an enterprise level
• Work with the Head of Data Products to design, document and continuously improve our data engineering capability, including the development and governance of policies, standards, and processes to promote consistency and control.
• Inspire best practice development of data products and services across your team and implement a culture of continuous testing / improvement across our pipelines and data
• Take the concepts and principles of data modelling and produce / reverse engineer relevant data models, recognising opportunities for the reuse and alignment of data across Beazley
• Identify opportunities for innovation in data tools and techniques, and consider appropriate timing for adoption
• Develop transformation strategies and oversee the execution and implementation of DataEngineering standards across the Data Mesh model
• Set the standard for quality assurance and documentation standards using version control and code repositories for implementations
• Set enterprise-wide standards to monitor and improve data pipeline reliability, efficiency and quality
• Work with Head of Data Products and your team to identify training needs for engineers to ensure competence and understanding of new concepts and enable thought / technical leadership
• Support development of the enterprise strategy for Modern Data Architecture and ensure it delivers the process, tools and platform that enhance business outcomes
• Seek and address feedback from business teams as part of a strategy of continuous improvement and engagement with the business and data owners on how to maximize data value
• Build data engineering capability by providing technical leadership and career development for the community, and play a meaningful role in attracting, developing, unifying, and retaining talent across the data engineering / platform team
• Collaborate with the Head of Data Products to define and deliver a data engineering development programme to ensure we continuously improve our competencies and capabilities
• Engage with market leaders and internal product owners to understand problems and translate business requirements to technical solutions
• Manage supplier procurement and management processes, ensuring collaborative partnerships are formed that are underpinned by clear statement of works and thorough MSAs
• Maintain an appropriate balance of resources (FTE, FTC, contractor, staff augmentation, apprentices, outsourcing) to enable Data to achieve its outcomes whilst remaining agile.

We are looking for candidates with experience of coordinating and implementing data engineering strategies. Someone who has a proven track record of implementing enterprise data engineering
standards and maturing capability to deliver advantage and enhance value delivery across a business. We are looking for someone who can innovate, and who knows how to encourage performance, motivate peers, and collaborate at the highest levels of an organization.

The successful candidate should have a passion for data and a curious mindset both for Beazley and the wider insurance industry. Great communication skills across all levels of seniority and the ability to represent data internally and externally to our colleagues, clients and regulators will also be important.

Don’t meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t perfectly align with every requirement and qualification in the JD, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.