Pleiad Group
Data Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About Us
Pleiad's story begins over 75 years ago in the insurance sector. Today, Pleiad supports a multifaceted global group, housing a portfolio of companies across RE(insurance), Insurtech, Fintech, Sustainability, and Cybersecurity. Its portfolio companies are licensed and regulated in several countries, staffed by 800+ specialists, and operate from a network of 15+ offices spanning Europe, the Americas, and Asia.
Beyond its role as an umbrella brand, Pleiad provides its portfolio companies with a comprehensive suite of corporate and business consulting services. It acts as a true operating partner, not a passive holder.
Role Purpose
We are looking for an experienced Data Engineer to design, build and maintain scalable cloud-based data platforms. You will work closely with analytics, engineering, and business teams to deliver trusted, well-modelled data that supports reporting, insight, and decision-making.
Key Responsibilities
- Build and maintain reliable ELT pipelines using Fivetran, Snowflake, and dbt.
- Develop reusable, tested, and well-documented data models following Kimball and Data Vault principles.
- Write high-quality Python code for data processing, automation, and integration.
- Design and optimise Snowflake data structures, queries, and workloads.
- Deploy and operate containerised data services using Kubernetes on Microsoft Azure.
- Create and maintain CI/CD pipelines for data transformations and platform components.
- Manage source control, branching, pull requests, and code reviews using Git.
- Implement automated data-quality tests, monitoring, and alerting.
- Collaborate with analysts, data scientists, software engineers, and stakeholders to translate requirements into robust data solutions.
- Maintain technical documentation and promote engineering best practices.
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.
Required Qualifications & Experience
- Strong commercial experience with dbt and Snowflake.
- Proficiency in Python and SQL.
- Hands-on experience with Microsoft Azure services.
- Experience using Fivetran or a comparable managed data-integration platform.
- Practical knowledge of Kubernetes and containerised workloads.
- Strong understanding of Git-based development workflows.
- Experience designing and maintaining automated CI/CD pipelines.
- Good knowledge of dimensional modelling, particularly the Kimball methodology.
- Experience implementing or working with Data Vault models.
- Understanding of data governance, security, lineage, testing, and observability.
- Strong communication, problem-solving, and stakeholder-management skills.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred/Additional Skills
- Snowflake performance tuning and cost optimisation.
- Infrastructure as code, such as Terraform or Bicep.
- Azure DevOps or GitHub Actions.
- Data catalogue and orchestration technologies.
- Working in Agile, cross-functional delivery teams.
What We Offer
- The opportunity to shape and improve a modern cloud data platform.
- Challenging data-engineering projects with meaningful business impact.
- A collaborative environment that values quality, ownership, and continuous improvement.
- Ongoing learning and professional-development opportunities.
- Flexible or hybrid working, subject to business requirements.
“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