Gazelle Global
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer on a 6-12 month contract, hybrid in London/Edinburgh. Key skills include PySpark, AWS (Glue, EMR, S3), and SQL. Financial services experience is desirable. Pay rate is unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
June 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
Edinburgh, Scotland, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Data Pipeline #Spark (Apache Spark) #Security #Apache Airflow #Data Quality #S3 (Amazon Simple Storage Service) #Athena #Airflow #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Automation #AWS (Amazon Web Services) #AWS Glue #Data Architecture #Data Processing #Cloud #Lambda (AWS Lambda) #Python #PySpark #Scala
Role 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.
Josh@gazellegc.com
+44 7908143845
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.
Josh@gazellegc.com
+44 7908143845
