AWS Data Engineer
Gazelle Global
Job Description
AWS Data Engineer | London / Edinburgh | Hybrid (2 Days Onsite) | 6-12 Month Contract We are seeking an experienced AWS Data Engineer to join a major financial services programme, delivering scalable cloud-based data solutions within a modern AWS environment. Key Responsibilities Design and develop scalable data pipelines using AWS Glue, EMR, S3 and Athena. Build and optimise ETL/ELT workflows using PySpark, Python and SQL.
Orchestrate data pipelines using Apache Airflow. Ensure data quality, performance, governance and security across cloud platforms. Collaborate with business stakeholders to translate requirements into robust technical solutions.
Required Skills Strong hands-on experience with PySpark and large-scale data processing. Advanced Python development skills for data engineering and automation. Extensive AWS experience including S3, Glue, Lambda, EMR and Bedrock/custom model hosting.
Strong SQL and ETL development expertise. Experience working within enterprise-scale data environments. Desirable Financial Services or Banking experience.
Knowledge of modern cloud-native data architectures. For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.
[email protected] +44 7908143845