

Python Data Engineer - Glasgow
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Engineer in Glasgow, offering a contract length of "X months" at a pay rate of "$X per hour." Key skills include Python, Kubernetes, data engineering, and experience with Generative AI solutions. A Bachelor's/Master's degree and 5 years of software engineering experience are required.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
June 7, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Glasgow, Scotland, United Kingdom
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π§ - Skills detailed
#ML (Machine Learning) #PyTorch #DevOps #Storage #Agile #Data Privacy #Langchain #Grafana #TensorFlow #Deep Learning #SQL (Structured Query Language) #Strategy #Automation #Prometheus #Jenkins #Redis #Monitoring #Kubernetes #Programming #Unit Testing #Security #Data Governance #Logging #Artifactory #Big Data #Scala #Data Engineering #Flask #Libraries #Python #API (Application Programming Interface) #Deployment #Kafka (Apache Kafka) #Scrum #Hugging Face #NoSQL #AI (Artificial Intelligence) #ML Ops (Machine Learning Operations) #Computer Science #Cloud
Role description
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Primary Responsibilities
β’ Develop tooling and self-service capabilities for deploying AI solutions for the firm.
β’ Collaborate with other developers to enhance the developer experience when building and deploying AI applications.
β’ Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
β’ Leverage Kubernetes/OpenShift to develop modern containerized workloads.
β’ Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads.
β’ Integrate with capabilities such as large-scale vector stores for embeddings.
β’ Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
β’ Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
β’ Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.
β’ Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
β’ Participate in all team's Agile/ Scrum ceremonies.
Required Skills
β’ Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.
β’ Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
β’ Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
β’ Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
β’ Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.
β’ Practitioner of unit testing, performance testing and BDD/acceptance testing.
β’ Understanding of OAuth 2.0 protocol for secure authorization.
β’ Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
β’ Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
β’ Ability to articulate technical concepts effectively to diverse audiences.
β’ Strong desire and ability to influence development teams and help them adopt AI.
β’ Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations.
β’ Understanding of deep learning, understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
β’ Understanding of Information Security, Secure coding practices.
β’ Experience in building cloud and container native applications.
β’ Knowledge of DevOps and Agile practices.
β’ Excellent communication skills. Desired Skills
β’ Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
β’ Good understanding of modern Application configuration techniques.
β’ Hands on experience with Cloud Application Deployment patterns like Blue/Green.
β’ Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).
β’ Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
β’ Experience building AI applications, preferably Generative AI and LLM based apps.
β’ Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.
β’ Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
β’ Understanding of ModelOps/ ML Ops/ LLM Op.
β’ Understanding of SRE techniques.
Qualifications:
β’ Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
β’ 5 years of experience in software engineering, design and development
We are committed to creating an inclusive recruitment experience. If you have a disability or long-term health condition and require adjustments to the recruitment process, our Adjustment Concierge Service is here to support you. Please reach out to us at adjustments@robertwalters.com to discuss further.