At a Glance
- Tasks: Transform legacy data systems into modern architectures and lead innovative data projects.
- Company: Global enterprise with a focus on cutting-edge data solutions.
- Benefits: Competitive salary, flexible hybrid work, and opportunities for impactful contributions.
- Other info: Collaborative environment with mentorship opportunities and career growth.
- Why this job: Join a pivotal migration and shape the future of data architecture.
- Qualifications: Extensive experience in data engineering, SQL, Python, and CI/CD practices.
The predicted salary is between 80000 - 80000 £ per year.
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.
Data Engineer in Glasgow employer: Cruinn Consulting
Cruinn Consulting is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to lead transformative AI initiatives. With a competitive salary of £80,000 and a flexible hybrid working model based in Glasgow, team members enjoy a healthy work-life balance while having the unique opportunity to shape enterprise-scale AI strategies. The company prioritises employee growth through continuous learning and development, making it an ideal place for those seeking meaningful and rewarding careers in the field of data science.
