2 of 2 AWS Data Engineer Jobs in the City of London

Senior Data Engineer - AWS 📍 London | Hybrid (3 days in office) 💼 Full-time | Permanent 💰 £75,000 – £90,000 per annum About the Role We’re seeking a technically skilled and commercially minded Senior Data Engineer with strong expertise in taking ownership over a product or task. This role sits within the Data … Team and reports directly to the Head of Data. You’ll play a key part in shaping and evolving the organisation’s event streaming analytics capability, ensuring there data ecosystem is future-proof, scalable, and impactful. Key Responsibilities Design and implement event-driven architectures to meet business needs Develop, deploy, and maintain scalable event streaming systems (including stream … Troubleshoot issues and deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in More ❯

maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to … support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure … learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with More ❯