Senior Python Developer Data Engineering & ML/AI

Summary: The role of Senior Python Developer / Data Engineer focuses on designing and building large-scale data pipelines, managing ETL/ELT workflows, and developing end-to-end machine learning pipelines. The position requires collaboration with data scientists to productionize models and ensure data quality and pipeline reliability. This is a fully remote position, allowing for flexibility in work arrangements. Candidates should have extensive experience in software engineering, particularly with Python and data engineering practices.

Key Responsibilities:

• Design and build large-scale data pipelines for ingestion, transformation and processing
• Work on ETL/ELT workflows handling different types of data
• Build and maintain end-to-end ML pipelines from data preparation to deployment and monitoring
• Collaborate with data scientists to productionize ML models
• Work on feature engineering, training pipelines and model serving
• Ensure data quality, monitoring and pipeline reliability
• Optimize systems for performance, scalability and cost
• Contribute to clean, maintainable, production-grade Python code

Key Skills:

• 8+ years of software engineering experience with Python as primary language
• Strong background in data engineering (ETL/ELT, pipelines, data processing)
• Hands-on experience building and maintaining ML pipelines in production environments
• Experience with PySpark / Apache Spark
• Experience with workflow orchestration tools like Airflow, Dagster, or Prefect
• Good understanding of streaming/data processing systems (Kafka, Kinesis, etc.)
• Experience working with cloud platforms (AWS / Google Cloud Platform / Azure)
• Strong SQL skills and experience with data warehouses
• Comfortable working in a distributed/remote engineering setup

Salary (Rate): £51,000 yearly

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT