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.