How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Key Points
Location: London Or Reading, Hybrid
Duration: 12 months
Rate: Competitive Day Rate, Outside IR35
Overview
This is an opportunity to join a leading organisation undertaking a major cloud transformation and data modernisation programme, delivering enterprise-scale data solutions across a complex technology landscape.
As a Lead Data Engineer, you will provide technical leadership across the design, development, automation, and optimisation of cloud-based data platforms, ensuring secure, scalable, and high-performing solutions are delivered to support business and operational objectives.
Working closely with architects, stakeholders, analysts, and engineering teams, you will drive best practice across data engineering, infrastructure automation, CI/CD, and cloud technologies while mentoring and leading other engineers within the delivery team.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Lead the design and delivery of enterprise-scale data engineering solutions within Google Cloud Platform (GCP).
- Develop and maintain scalable ETL/ELT pipelines, data models, and integration frameworks.
- Design and manage Infrastructure as Code (IaC) solutions using Terraform.
- Build and support automated deployment processes through GitLab CI/CD pipelines.
- Design, optimise, and maintain BigQuery datasets, schemas, and analytical workloads.
- Develop and manage Cloud Storage, Cloud SQL, and Cloud Composer solutions.
- Develop Python-based ETL applications, automation tools, and data services.
- Implement real-time data integration and Change Data Capture (CDC) solutions using Striim.
- Develop and support ETL workflows and reusable components using Ab Initio.
- Ensure data quality, governance, security, and compliance standards are maintained.
- Monitor platform performance, reliability, and operational efficiency across cloud environments.
- Lead code reviews, mentor engineers, and establish engineering best practices.
- Collaborate with cross-functional teams to deliver secure, reliable, and scalable data solutions.
- Support architecture design, technical planning, estimation, and continuous improvement initiatives.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location