Data Engineer
Cruinn Consulting · Glasgow, Scotland, UK
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About the role
Senior Data Engineer (Modern Architecture & Platform Evolution)
- Salary: £80,000 per annum
- Location: Hybrid Glasgow office
- Position Type: Full-time
About the Opportunity
Are you an expert Data Engineer who thrives on transforming legacy infrastructure into cutting-edge, modern data architecture?
We are a global enterprise looking for a senior technical authority to join our Data Services team during a pivotal modernisation phase. We are transitioning our data ecosystem from a traditional cloud data warehousing estate to a next-generation serverless storage and unified lakehouse architecture.
This role is not about maintaining pipelines in isolation or delivering one-off engineering solutions. It is about building a durable, modern data platform that serves as the foundation for advanced analytics, machine learning, and executive decision-making.
Key Responsibilities
- Strengthen Current Pipelines: Take joint ownership of existing enterprise data ingestion and integration pipelines, sourcing data from major CRMs, ERPs, and bespoke third-party systems. Maintain a reliable multi-layered medallion architecture (Bronze, Silver, Gold).
- Drive Future-State Architecture: Actively lead the evolution of the data platform toward a serverless lakehouse design. Build efficient transformation pipelines utilizing DBT SQL models, Spark notebooks, and Python.
- CI/CD & DevOps Automation: Establish robust, end-to-end CI/CD practices across environment tiers (Dev, QA, Prod), ensuring automated deployment of pipelines, transformations, and schema models.
- Platform Observability & Security: Advance logging, monitoring, and proactive failure detection. Maintain and enhance stringent access controls to ensure data remains highly governed and secure.
- Engineering Standards & Mentorship: Define and embed reusable frameworks and coding standards across the data platform. Mentor other engineers and analytics practitioners to elevate the team’s technical maturity.
What We Are Looking For
- Core Experience: Extensive experience as a Senior Data Engineer in enterprise-scale data environments, with a solid background utilizing medallion architectures.
- Technical Toolkit: Deep proficiency in SQL and Python, particularly for data engineering, performance optimization, and Spark-based transformations.
- Analytics Engineering: Proven experience with DBT for data transformation, along with supporting enterprise-grade business intelligence and semantic models.
- DevOps & Governance: Strong experience designing, building, and supporting CI/CD pipelines alongside a deep understanding of data governance, security, and environment management.
- Mindset: Comfort operating in ambiguous, evolving environments, with the ability to help shape the architecture rather than simply implementing a fixed design.
What We Offer
- Competitive salary of £80,000 .
- Flexible hybrid working model ( 1 day a week in the office , with occasional days for in-person collaborative design workshops).
- The chance to play a defining role in a major, well-funded architectural migration.
Description sourced from the public LinkedIn listing — this role isn't indexed from the company's career page yet.
Skills
- SQL
- Python
- Spark
- dbt
- GitLab CI
- GitHub Actions
- Terraform
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