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Senior Data Engineer

Test Triangle


Job Location:

London - UK

Salary: Not provided by the employer
Experience Required: 5years
Posted: 8 August 2026 (30+ days ago)
Application Deadline: 5 November 2026
Vacancies: 1 Vacancy

Job Summary

Role Summary

We are seeking a highly skilled Senior Data Engineer with 815 years of experience in designing developing and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflakeand hands-on experience with Python PySpark AWS and Airflow for building scalable high-performance data platforms. The role demands strong technical leadership problem-solving capabilities and the ability to collaborate effectively with cross-functional teams to deliver robust data engineering solutions.

Key Responsibilities

  • Design develop and optimize data pipelines and data models using Snowflake for enterprise analytics and reporting
  • Write and optimize complex SQL / PLSQL queries procedures and transformations to support largescale data processing
  • Build and optimize enterprise data warehouse solutions on Snowflake.
  • Develop data ingestion transformation and orchestration workflows using Python PySpark and Airflow.
  • Develop and optimize complex SQL queries stored procedures views streams and tasks in Snowflake.
  • Implement scalable cloud-based data solutions leveraging AWS services.
  • Ensure data quality governance security and compliance across the data platform.
  • Perform query tuning performance optimization and cost optimization within Snowflake.
  • Automate deployment and monitoring through CI/CD and DevOps practices.
  • Collaborate with business stakeholders architects analysts and engineering teams to translate business requirements into technical solutions.
  • Troubleshoot production issues and implement preventive measures to enhance platform reliability.

Preferred Experience

  • Experience in large-scale cloud data migration initiatives.
  • Strong understanding of enterprise data architecture and modern data platforms.
  • Experience working with structured semi-structured and unstructured data.
  • Exposure to Banking Financial Services or other large enterprise environments will be an added advantage.
  • Experience in leading technical discussions and mentoring engineering teams.



Required Skills:

infrastructure