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Data Engineer (Snowflake/Kafka)

Job Type
Contract/Temporary
Location
City of London, London
Salary
Negotiable
Job Ref
BBBH173038_1768566579
Date Added
January 16th, 2026
Consultant
David Sutherland

Data Engineer (Snowflake/Kafka)
Hybrid Working - Edinburgh OR London - 2 days a week on site.
Financial Services

Lorien's leading Banking Client is looking for additional Data Engineers to join the existing team on an expanding project.
The Ideal candidate for this position will have strong hands on practical coding abilities with Snowflake and Kafka.

This role is based in Edinburgh or London.
This role will be Via Umbrella.
Working in a Hybrid Model of 2 days a week on site.

Key Skills and Experience
Core Technical Requirements

  • Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas.
  • Proficiency in Airflow for orchestration and workflow management.
  • Hands-on experience with AWS services, particularly S3 for storage and Lambda for serverless processing.
  • Familiarity with Kafka concepts (producers, consumers, topics) and ability to integrate with streaming data pipelines.
  • Solid understanding of data modelling, ETL/ELT processes, and performance optimization.

Programming & Engineering Skills

  • Proficiency in Python for data engineering tasks and automation.
  • Ability to design and implement scalable, maintainable data pipelines.
  • Experience with version control systems (e.g., Git) and collaborative development workflows.

Leadership & Mentorship

  • Ability to lead technical initiatives within the team and drive best practices.
  • Experience in mentoring junior engineers, providing guidance on coding standards, design patterns, and career development.
  • Comfortable with code reviews and fostering a culture of continuous improvement.

Best Practices & Mindset

  • Strong grasp of data quality principles, including validation and monitoring.
  • Ability to read, understand, and refactor existing code effectively.
  • Familiarity with CI/CD practices for data pipeline deployment.
  • Comfortable working in cloud-native environments and following security/compliance standards.

Nice-to-Have

  • Exposure to streaming data architectures and event-driven systems.
  • Knowledge of Snowflake performance tuning and cost optimization.



IND_PC3

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

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