Lead Data Engineer AWS

Focused Futures Consultancy LTD; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Lead Data Engineer to join their dynamic Data & Analytics team. This role offers the opportunity to drive data integration initiatives and provide technical leadership in a flexible hybrid working environment. You'll collaborate with cross-functional teams to design robust data architectures and implement enterprise-grade solutions using AWS services. With a focus on continuous improvement and fostering a culture of innovation, this position is perfect for someone eager to make a significant impact in the data and AI landscape. Join this leading global company and help shape the future of data-driven decision-making!

Benefits

Private Healthcare

Life Assurance

Income Protection Insurance

Generous Pension Scheme

Employee Wellness Perks

Professional Development Resources

Flexible Working

Employee Stock Purchase Plan

Qualifications

• 10+ years of experience in data engineering roles using AWS.
• Proven experience in designing data architecture and models.
• Strong understanding of data warehouse concepts and ETL processes.

Responsibilities

• Design and deploy data integration pipelines using AWS services.
• Lead a team of data engineers and guide their technical work.
• Translate business requirements into actionable data solutions.

Skills

AWS Redshift

AWS Glue

AWS Athena

AWS Lambda

AWS S3

Data Architecture

ETL Processes

Agile Methodologies

Team Leadership

Consultative Mindset

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

Azure DevOps

JIRA

Job description

Focused Futures Consultancy LTD provided pay range

This range is provided by Focused Futures Consultancy LTD. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Focused Futures Consultancy LTD

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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 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 and not require company sponsorship!

Let’s revolutionise the world of data and AI together!

Our client is an equal opportunity employer. They are committed to creating an inclusive environment for all employees and applicants. 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Consulting

• Industries

  IT Services and IT Consulting, Insurance, and Financial Services

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