Insight International (UK) Ltd
AWS Data Engineer
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Job Description
Title: Data Engineer
Location: London, UK
Contract & Hybrid model
Role Summary
We are seeking a highly skilled Senior Data Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflake and 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 / PL‑SQL queries, procedures, and transformations to support large‑scale 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.
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Preferred Experience
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- 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.
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