Lead Data Engineer AWS

Job Description
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
Summary of the Role:
A leading global data and AI company is seeking a Lead Data Engineer to join their Data & Analytics team. This role involves driving data integration initiatives across client projects, providing technical leadership and mentorship to a team of Data Engineers. Responsibilities include designing, developing, implementing, and improving scalable data platforms using AWS services.
You will work closely with stakeholders to design robust data architectures and implement enterprise-grade data solutions, fostering a culture of innovation, collaboration, and continuous learning.
Key Responsibilities:
Design, develop, test, and deploy data integration pipelines in AWS (Redshift, Glue, Athena, Lambda, S3).
Lead and mentor a team of Data Engineers, guiding their technical work and professional growth.
Create technical documentation such as architecture diagrams, test plans, and data integration specifications.
Translate business requirements into effective data models and solutions.
Stay updated with emerging data technologies and recommend improvements.
Develop and enforce best practices for data pipeline orchestration, testing, and deployment.
Provide leadership and feedback across projects and operational initiatives.
Collaborate with cross-functional teams to develop a consistent and scalable reporting environment.
Essential Qualifications & Experience:
10+ years of experience in data engineering or integration roles using AWS.
5–8 years of management or team leadership experience.
5–8 years in a consulting or client-facing delivery role.
Proven experience designing data architectures (Dimensional, ODS, Data Vault).
Strong understanding of data warehouse concepts, ETL processes, and cloud architectures.
Proficiency in Agile methodologies (Scrum) with tools like Azure DevOps or JIRA.
Familiarity with CI/CD practices and version control systems.
Key Skills and Attributes:
Cloud & Data Engineering: Expertise in AWS services and data pipeline development.
Data Modelling & Architecture: Strong background in data warehousing and modeling frameworks.
Leadership: Ability to lead teams and foster collaboration.
Agile & DevOps: Experience with Agile delivery, DevOps pipelines, and automation.
Consultative Mindset: Effective communication bridging technical and business goals.
Soft Skills: Critical thinking, communication, time management, and continuous learning.
Benefits & Culture:
Competitive salary with performance bonuses.
Private healthcare, life assurance, income protection, and pension scheme.
Wellness perks such as cashback and cycle-to-work schemes.
Access to professional development resources, workshops, and online learning.
Inclusive workplace committed to equality and employee engagement.
Participation in a global Employee Stock Purchase Plan (ESPP).
Flexible hybrid working to support work-life balance and collaboration.
Eligibility:
Candidates must have the right to work in the United Kingdom to be considered.

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