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