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# Data Engineer

- **Company:** Enfint
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Audit Trail, Cloud Computing, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Security, Data Structures, Data Systems, Software Debugging, Distributed Computing Environment, Python (Programming Language), DataOps, SQL Databases, Management of Software Versions, Workflow Management Systems, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815456165-data-engineer

## About the Role

* Bachelor's degree in Computer Science, Engineering, or a related technical field.
 * 3+ Years of experience as a Data Engineer building and maintaining production-grade pipelines and datasets.
 * Proficiency in Python and SQL with an understanding of data structures, performance, and optimization strategies for ETL/ELT.
 * Hands-on experience with orchestration tools and distributed processing in a cloud environment.
 * Familiarity with at least one major cloud provider and deploying data solutions in the cloud.
 * Strong troubleshooting mindset and ability to debug issues across data, infrastructure, pipelines, and deployments.
 * Collaborative mindset and clear communication skills.
 * Nice to have: Strong GCP experience, experience building incremental data ingestion pipelines, knowledge of analytical data modeling, familiarity with CI/CD, IaC, DataOps, data governance concepts, observability for data systems, and model monitoring concepts.

## Description

myPOS provides payment solutions for businesses of all sizes, offering multicurrency accounts and e-commerce tools to facilitate growth and simplify payment processes. The company focuses on leveraging modern technology to make payment acceptance accessible and efficient for merchants., * Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations.

 * Develop and evolve scalable data architecture to meet business and performance requirements.
 * Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics.
 * Implement best practices for data quality, testing, monitoring, lineage, and reliability.
 * Optimize workflows for performance, cost, and scalability.
 * Ensure secure data handling and compliance with relevant data protection standards and internal policies.
 * Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes.
 * Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices.
 * Build and maintain MLOps automation, including CI/CD for ML, environment management, artifact handling, and versioning.


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