Data Engineer

• Design, build, and maintain high-quality data pipelines and models in Snowflake to support business analytics, BI, and operational reporting needs.
• Translate the defined data architecture and standards into implemented solutions, including ingestion, transformation, storage, and performance optimisation.
• Develop robust ELT/ETL pipelines using dbt and workflow/orchestration tools, ensuring reliability, maintainability, and adherence to engineering best practices.
• Implement Snowflake warehouse configurations and query optimisation techniques to ensure efficient usage and predictable cost.
• Apply data quality checks, lineage tracking, and security standards across the data estate, ensuring compliance with data policies, InfoSec controls, and regulatory requirements.
• Leverage Snowflake capabilities to improve automation, reduce manual effort, and enhance data accessibility across the business.
• Work closely with analysts, data consumers, and business stakeholders to support data product delivery, troubleshoot data issues, and enable effective usage of Snowflake datasets.
• Implement dimensional models that provide clean, well-structured, reusable datasets for reporting and emerging ML/AI use cases.
• Implement and maintain monitoring, alerting, logging, and cost-management processes for Snowflake and data pipelines.
• Contribute to shared engineering standards to simplify development and accelerate delivery across the team.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• CRM
• Data Warehouse
• ETL
• Fivetran
• Git
• Support
• OSS
• PostgreSQL
• Power BI
• Python
• RBAC
• SQL
• Salesforce
• Security
• Snowflake
• dbt
• Terraform

• Proven experience in delivering cloud-based data engineering solutions, ideally with Snowflake.
• Strong hands-on proficiency with SQL, Python, and dbt for data transformations, modelling, and pipeline automation.
• Practical experience with Snowflake and RBAC management.
• Experience with data ingestion and replication tools such as Airbyte, Fivetran, Hevo, or similar.
• Working knowledge of cloud services (AWS preferred).
• Strong understanding of data modelling and data governance principles.
• Experience supporting BI/reporting tools (Power BI) and enabling them through well-designed Snowflake data models.
• Solid knowledge of CI/CD and version-controlled development practices in git.
• Exposure to CRM (Salesforce), BSS/OSS (Netadmin), Call Centre, Telephony, or similar enterprise data sources (desirable).
• Participation in migrating data platforms (e.g., PostgreSQL or other cloud RDBMS) into a data warehouse like Snowflake with minimal disruption and strong data validation controls (desirable).

At Gigaclear, we are a growing Fibre Broadband company focused on developing our fibre-to-the-premises broadband infrastructure to serve some of the most challenging areas in the UK. By empowering communities with high-quality broadband, we aim to rival urban connectivity. Join our Data Engineering team to play a crucial role in enhancing our data platform, working with advanced technologies, and contributing to decision-making processes that shape our future.