Infoplus Technologies UK Limited

Informatica Data Engineer (IICS / ETL)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Informatica Data Engineer (IICS / ETL) with a contract length of "unknown" and a pay rate of "unknown." Key skills include Informatica IICS, SQL, and Azure experience. SC Clearance is required; background in Financial Services is a plus.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 18, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Yes
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Azure DevOps #Data Lake #Azure #IICS (Informatica Intelligent Cloud Services) #Data Accuracy #Data Integration #Synapse #DevOps #Azure SQL #Data Engineering #"ETL (Extract #Transform #Load)" #Informatica #GitHub #Unit Testing #SQL (Structured Query Language) #Data Pipeline #Scala
Role description
We’re looking for a skilled Informatica Data Engineer to join our growing data team. If you have strong hands-on experience with IICS and ETL development, and enjoy working in modern Azure environments, this could be a great fit. πŸ”§ What You’ll Be Doing Design, build, and support ETL pipelines using Informatica IICS Develop scalable and efficient data integration solutions Work with Azure-based data platforms to deliver high-quality data solutions Collaborate with cross-functional teams to understand data requirements Ensure data accuracy, performance, and reliability Support ongoing maintenance and optimization of data workflows βœ… Must-Have Skills Strong hands-on experience with Informatica IICS (ETL design, development & support) Solid SQL and data engineering expertise Experience working in Azure data environments SC Clearance (active or near eligibility) Strong troubleshooting and analytical skills ⭐ Nice to Have Experience with Microsoft Fabric (Data Factory, Synapse, OneLake) Background in Financial Services / FinTech Familiarity with Azure DevOps and/or GitHub Experience with data pipeline testing (unit testing, QA) Knowledge of Azure SQL, Data Lake, Managed Instance