Lead Data Engineer AWS

JR United Kingdom; London; Hybrid; GBP 80,000 - 100,000; Full time

Job description

Social network you want to login/join with:

Business Unit/Segment: Data Management / Analytics

Location: London, United Kingdom (Flexible hybrid working)

Employment Type: Permanent - Salary -£80k to £100k

Summary of the Role:

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.

Key Responsibilities:

• 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.
• Collaborate with cross-functional teams to design a consistent and scalable reporting experience.

Essential Qualifications & Experience:

• 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3).
• 5–8 years of management or team leadership experience.
• 5–8 years in a consulting or client-facing delivery role (preferred).
• 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.
• Familiarity with CI/CD practices and code versioning systems.

Key Skills and Attributes:

• Cloud & Data Engineering: Deep expertise in AWS services and data pipeline development.
• Data Modelling & Architecture: Strong background in data warehousing and modern modelling frameworks.
• Leadership: Ability to lead teams, provide feedback, and cultivate a collaborative working environment.
• Agile & DevOps: Hands-on experience in Agile delivery, DevOps pipelines, and automation.
• Consultative Mindset: Effective communicator capable of bridging technical and business goals.
• Soft Skills: Excellent critical thinking, communication, time management, and continuous learning mindset.

Benefits & Culture:

• 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.

You must already have the right to work in the United Kingdom to be considered for this role.