Lead AWS Data Engineer (Permanent)

Job Title: Lead Data Engineer (AWS) Business Unit/Segment: Data Management / Analytics Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent – Salary -£80k to £100k A leading global data and AI company is looking for a Lead Data Engineer to join their Data & Analytics team. This individual will drive data integration initiatives across client engagements, offering technical leadership and guidance to a team of Data Engineers. The role involves contributing to solution design, development, implementation, and continuous improvement of scalable data platforms using AWS services. You’ll collaborate closely with stakeholders, design robust data architectures, and implement enterprise-grade data solutions, all while promoting a culture of innovation, collaboration, and continuous development. Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture diagrams, test plans, and data integration specifications. Translate business requirements into data models and actionable data solutions. Stay up to date with emerging data technologies and recommend improvements to data engineering practices. Develop and enforce best practices for data pipeline orchestration, testing, and deployment. Provide mentorship, feedback, and leadership across project and operational initiatives. 10+ years of experience in data engineering or data integration roles using AWS (e.g. Proven experience in designing data architecture and models (Dimensional, ODS, Data Vault). ~ Strong understanding of data warehouse concepts, ETL processes, and cloud-native architectures. ~ Proficient in Agile methodologies (Scrum), with experience using tools like Azure DevOps or JIRA. ~ Cloud & Data Engineering: Deep expertise in AWS services and data pipeline development. Data Modelling & Architecture: Strong background in data warehousing and modern modelling frameworks. Agile & DevOps: Hands-on experience in Agile delivery, DevOps pipelines, and automation. Competitive salary with performance-based bonuses. Private healthcare, life assurance, income protection insurance, and generous pension scheme. Employee wellness and lifestyle perks such as cashback offers and cycle-to-work schemes. Access to extensive professional development resources, including workshops and online learning. Inclusion-focused workplace committed to equality, diversity, and employee engagement. Participation in a global Employee Stock Purchase Plan (ESPP). Flexible hybrid working to support work-life balance and team collaboration. Let’s revolutionise the world of data and AI together! We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We ensure that all applicants and employees are treated fairly and consistently, and we encourage applications from all sections of the community.