About this role
Menzies is an equal opportunities employer which means that we recruit, employ, train, pay, and promote regardless of race, religion, national origin, gender, sexual orientation, disability or age. We are building a first-class team and, to do so, we know that we need a diverse mix of talented people doing their best work. If you’re ready to make an impact, lead with purpose, and work in a place where your voice truly matters, keep reading! We have a great opportunity for a Senior Data Engineer to join our team and can be based from any of our Menzies offices . The purpose of this role is to lead the development and operation of Menzies’ GCP data warehouse, creating a trusted, secure and accessible data foundation that enables insightful reporting, automation and AI, and supports smarter decision-making across the firm. Why Menzies? At Menzies, our culture is our cornerstone . We blend technical excellence with genuine care for our people and clients. With over 1100 colleagues in the UK, we’ve built a culture based on shared values and mutual respect. Here’s why you’ll love working with us: 🌟 People First : Our work-life balance isn’t just talk. From agile working to generous leave, we create space for what matters to you and this is why we were recognised as one of the Best Places to Work 2024, 2025 and now also 2026 🌟 Work with Inspiring Clients : You’ll be working with a range of clients so no two days will be the same. 🌟 Collaborate Across The Firm : Working with various people across the firm to raise the profile of Menzies Academy 🌟 Innovate with Purpose : We’re always looking for better ways to work—leveraging tech, simplifying complexities, and delivering value. 🌟 Empathy at Our Core : We don’t just serve our clients; we build trusted relationships that stand the test of time. Here’s what you’ll be doing: Lead the design and delivery of scalable, resilient data pipelines into BigQuery, integrating data from a wide range of internal systems, APIs, databases, files, webhooks and event streams. Shape the engineering approach across Google Cloud Platform (GCP) , working with technologies including BigQuery, Cloud Storage, Pub/Sub, Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs into scalable, reusable data products, bringing together data from external and internal sources such as Companies House, HMRC, Exchange Online, Active Directory, iManage and Dayshape. Embed security, governance and data quality by design , ensuring appropriate controls around data lineage, access, GDPR compliance, least-privilege security and the handling of sensitive client, HR, payroll and financial information. Provide technical leadership to the wider team , reviewing designs and code, mentoring data engineers and analysts, and helping to strengthen engineering capability across the Innovation Team. Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications. Evaluate technology and integration options , making pragmatic build-versus-buy recommendations that balance business value, security, scalability, supportability and cost. Champion data enablement across Menzies , supporting colleagues to confidently access, understand and use data safely and effectively. Help shape the Innovation Team roadmap , prioritising strategic, repeatable platforms and solutions that can deliver value across the firm rather than one-off fixes.