Data Engineer (Snowflake)
Posted Updated 6
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Summary
6-month contract Data Engineer (via Umbrella) placed by Lorien with a UK banking client in London/Edinburgh. Day to day: building scalable data pipelines and warehousing with Snowflake, Airflow and AWS (S3, Lambda) in Python, plus mentoring juniors and driving best practices.
Data Engineer
London/ Edinburgh
6 Month Contract
Via Umbrella
Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract.
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.
- 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.
