Lead Data Engineer

CV-Library

. Define and drive the technical strategy for the AWS-based data platform and Data Engineering function .

Posted 10/9/2026full-timeFleet • United KingdomSenior💰 £1 - £999,999 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering AWS-based data platforms, focusing on scalable data architecture, robust data modeling, and the implementation of Infrastructure as Code. Proven ability to lead teams, mentor engineers, and communicate complex technical concepts effectively.

Highest-signal resume keywords

Data EngineeringAWS Cloud-Based Data PlatformsSQLPython DevelopmentInfrastructure as Code

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringSQLPythonAnalytical Data ModellingData PipelinesDbtAmazon RedshiftApache AirflowTerraformCI/CD

Soft Skills

CommunicationMentoringPragmatic Engineering

Tools & Technologies

AWSInfrastructure as CodeCI/CDData WarehousesMonitoring Tools

Industry Keywords

Data ArchitectureData QualityObservabilityOperational ReliabilityBatch and Streaming Data

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudPythonSQLTerraform

About the role

Key responsibilities & impact

Define and drive the technical strategy for the AWS-based data platform and Data Engineering function
Lead the design and delivery of scalable, reliable and cost-effective data solutions
Build and optimise modern batch and real-time data pipelines
Own and evolve data architecture, ensuring scalability, performance and maintainability
Champion engineering best practices, including code reviews, technical standards and architectural governance
Develop robust data models and datasets for reporting, analytics, product insights and machine learning
Drive improvements in data quality, observability, monitoring and platform reliability
Lead adoption of Infrastructure as Code, CI/CD and automation across the data platform
Collaborate with analysts, data scientists and business stakeholders to turn data requirements into impactful solutions
Evaluate and implement new technologies, including AWS AI services
Lead incident resolution, root cause analysis and continuous improvement initiatives
Mentor and develop a team of Data Engineers

Requirements

What you’ll need

Strong commercial experience in Data Engineering, with experience leading or mentoring engineers
Strong experience designing and building cloud-based data platforms, ideally on AWS
Excellent SQL skills and strong experience with analytical data modelling
Strong hands-on experience with dbt in a production environment
Experience building and operating production-grade data pipelines
Strong Python development skills
Experience with data warehouses such as Amazon Redshift
Experience with orchestration technologies such as Apache Airflow
Experience with infrastructure as code, ideally Terraform
Good understanding of CI/CD and modern software engineering practices
Experience working with both batch and event-driven/streaming data
Strong understanding of data quality, monitoring, observability and operational reliability
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
A pragmatic approach to engineering: knowing when to build, when to improve and when to keep things simple

Benefits

Comp & perks

Hybrid working pattern – 2 days on site per quarter
Monday-Friday, 9:00-17:30 working hours
Reasonable adjustments available to assist with applications