GIOS Technology

Data Engineer – (AWS, Informatica & PySpark)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with expertise in AWS, Informatica, and PySpark. It offers a remote contract with occasional travel, requiring extensive experience in data pipelines, ETL, and CI/CD practices, along with strong Agile delivery skills.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#GIT #Lambda (AWS Lambda) #Terraform #PySpark #Data Integration #AWS (Amazon Web Services) #Agile #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Data Quality #Spark (Apache Spark) #AWS EMR (Amazon Elastic MapReduce) #GitLab #Jira #Data Governance #Automated Testing #Deployment #Scrum #IICS (Informatica Intelligent Cloud Services) #Python #SQL (Structured Query Language) #Informatica #Kanban #Infrastructure as Code (IaC) #Data Pipeline #Data Engineering
Role description
I am hiring for Data Engineer – (AWS, Informatica & PySpark) Location: London / Newcastle / Leeds - Remote with Occasional Travel • Hands-on experience with Informatica (Power Center, IICS, or equivalent ETL/Data Integration platforms). • Extensive experience developing large-scale data pipelines using : AWS (EMR, S3, Lambda), PySpark, Python and SQL. • Strong understanding of data quality, data governance, performance optimization, and operational support. • Experience implementing CI/CD practices, Infrastructure as Code (Terraform or similar), automated testing, and deployment governance. • Proficiency with Git/GitLab, branching strategies, pull request workflows, and collaborative development practices. • Experience designing and integrating APIs and data services for secure data movement and consumption. • Strong Agile delivery experience using Jira, Confluence, and Scrum/Kanban methodologies. Key Skills: Informatica / Data pipelines / Data governance / ETL / AWS / Terraform / Infrastructure as Code