Senior Data Engineer

Your New Role

We're seeking a Senior Data Engineer to help shape and maintain a modern enterprise data platform. In this role, you'll design and optimise scalable data pipelines and models that bring data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation. You'll translate strategic data architecture into robust technical solutions, ensuring the platform is reliable, performant, and well-structured. You'll champion engineering best practices and contribute to standards that improve data quality, consistency, and usability.Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and future AI/ML capabilities.

Key Responsibilities

• Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs.
• Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes.
• Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability.
• Performance & Cost Optimisation: Configure Snowflake warehouses and implement query optimisation techniques for efficiency.
• Data Quality & Governance: Apply data quality checks, lineage tracking, and security standards aligned with InfoSec and regulatory requirements.
• Feature Adoption: Leverage Snowflake capabilities (Tasks, Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation and accessibility.
• Collaboration: Work closely with analysts and stakeholders to deliver data products and troubleshoot issues.
• Analytics Enablement: Implement dimensional models to provide clean, reusable datasets for reporting and advanced analytics.
• Monitoring & Reliability: Maintain monitoring, alerting, and cost-management processes for Snowflake and pipelines.
• Continuous Improvement: Contribute to shared engineering standards and best practices across the team.

What You'll Need to Succeed

• Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake.
• Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation.
• Practical experience with Snowflake features and RBAC management.
• Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred).
• Solid understanding of data modelling, governance principles, and BI enablement (Power BI).
• Knowledge of CI/CD and version-controlled development practices in git.
• Desirable: Experience with enterprise systems (CRM, BSS/OSS), data migration projects, and supporting platform adoption.
• Exposure to Infrastructure as Code tools such as Terraform is advantageous.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

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