Data Engineer - London

Data Engineer • Contract Duration: 4 months • Location: Farringdon, London • Job Type: Contract, Hybrid (3 days a week onsite) We are seeking a Data Engineer to our client's ambitious technology transformation. This role is crucial in implementing the end-to-end delivery of data strategies, working closely with Data Analytics and Data Science teams to ensure best practices and standards are met. Day-to-day of the role: • Source, map, and extract data from various business and cloud-based source systems. • Design, develop, test, optimise, scale, and deploy stable, cost-effective data solutions on Google Cloud Platform (GCP). • Deliver automation across CI/CD pipelines, infrastructure management, testing, and configuration. • Support Business Partners with requirements gathering tier-3 solution support, data remediation, data cataloguing, and data queries. • Align and evolve solutions within the Cloud Data Warehouse and enterprise data model at Royal Mail Group. • Contribute to planning, estimation, and prioritisation activities within an agile delivery framework. • Provide internal stakeholder management, third-line support, and end-user training where required. • Produce and maintain clear technical documentation for internal processes and solution designs. Required Skills & Qualifications: • Proven experience delivering end-to-end data solutions from design through to production. • Strong understanding of data warehouses, data lakes, database design, data pipelines, and data modelling. • Experience in analytics-driven environments with the ability to learn new tools and techniques quickly. • Hands-on experience with manual and automated testing, release management, code control, and cloud-based application deployment. • Strong SQL experience and familiarity with data preparation, transformation, visualisation, and cloud deployment. • Experience with Google Cloud Platform and tools such as Google Pub/Sub, Dataflow, Dataproc, Airflow, Dataprep, Data Fusion. • Experience with CI/CD and DevOps tooling (e.g., Jenkins, Kubernetes). • Experience working within Agile delivery models (Scrum, Kanban), including Product Owner collaboration. • Strong written and verbal communication skills, with experience managing stakeholders and mentoring or line-managing junior team members. To apply for this Data Engineer position, please submit your CV and a member of the Reed Professional Services Team will be in touch