Robson Bale

Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer focused on data pipelines, offering a 6-month contract at a competitive pay rate. Remote work is available. Key skills include Python, SQL/NoSQL, Airflow, and experience in real estate or mortgage data is preferred.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 9, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United Kingdom
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🧠 - Skills detailed
#Scala #Docker #Kubernetes #Azure #NoSQL #GCP (Google Cloud Platform) #Airflow #Compliance #Python #Cloud #Kafka (Apache Kafka) #Agile #Observability #SQL (Structured Query Language) #Data Pipeline #Data Ingestion #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #ML (Machine Learning) #Data Privacy
Role description
Python Engineer – Data Pipelines (UK Remote) We’re looking for an experienced Python Engineer to join a newly formed team working alongside a client’s Product Owner, Technical Lead, and development team. You’ll design, build, and optimize scalable, cloud-based data pipelines and ensure top performance in production environments. Key Responsibilities: β€’ Develop and maintain data ingestion and ETL pipelines using Python and tools like Airflow, Dagster, or Prefect β€’ Design asynchronous workflows and event-driven architectures with Kafka, RabbitMQ, or similar β€’ Optimize performance and reliability of large-scale data systems β€’ Automate and monitor data workflows for scalability and observability β€’ Collaborate with business and product teams to deliver robust, compliant data solutions Requirements: β€’ 6+ years of Python development experience focused on data pipelines β€’ Expertise with SQL/NoSQL, Airflow/Dagster/Prefect, and message brokers β€’ Hands-on experience with Docker, Kubernetes, and AWS/GCP/Azure β€’ Strong knowledge of OOP and Agile practices β€’ Excellent communication and problem-solving skills β€’ Experience in real estate or mortgage data (preferred) β€’ Familiarity with ML integration and data privacy/compliance (a plus)