

Lorien
Data Engineer (Snowflake & Kafka)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (Snowflake & Kafka) position for a 6-month contract in London/Edinburgh (Hybrid). Key skills include Snowflake, Airflow, AWS (S3, Lambda), Python, and Kafka. Experience with data modeling and ETL/ELT processes is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #Automation #Airflow #Kafka (Apache Kafka) #Data Engineering #S3 (Amazon Simple Storage Service) #Programming #Code Reviews #Scala #Version Control #Python #Leadership #Data Architecture #Deployment #Storage #Data Analysis #Compliance #Monitoring #GIT #"ETL (Extract #Transform #Load)" #Data Quality #Lambda (AWS Lambda) #SQL (Structured Query Language) #Security #Cloud #Snowflake #AWS (Amazon Web Services)
Role description
Data Engineer
London/ Edinburgh (Hybrid)
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.
• 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.
If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay.
Data Engineer
London/ Edinburgh (Hybrid)
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.
• 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.
If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay.





