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Senior Data Engineer

Prism Digital
London
3 weeks ago
Applications closed

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Senior Data Engineer | Python, AWS, AI/ML | Data-Driven Insights Company


My client is a leading provider of intelligence and data solutions to major players in the asset management industry. With a workforce of over 600 employees, they are currently expanding their tech and product offerings during a period of rapid growth.


As a Senior Data Engineer, you will be a key member of their automation team. You will play a central role in integrating cutting-edge technology with strategic data solutions. This newly created role reports directly to the Head of Data Science and Engineering. You will have the opportunity to work in a team of Data, DevOps, and Software engineers, guiding projects in the direction you believe will ensure success.


My client is based in St. Pauls and they operate a hybrid working model expecting people in the office 2 times a week. The company culture is energetic and social with daily complimentary breakfast, all-day drinks, and a calendar full of social events and networking opportunities.


What you will Bring:

  • Proven excellence inETL,scalable architectures, andautomation.
  • Experience in developing and deployingAI/ML pipelines.
  • Excellent inPython, and good exposure toSQL, and both relational &NoSQLdatabases.
  • Hands-oncloudexperience (AWS or Azure or GCP) with IAC(Terraform)and CI/CD (Jenkins).
  • Experience in developing and deployingAI/ML pipelines.
  • Familiarity withAirflow,Redshift, anddbt.


What you will do:

  • Architect, build, and optimise robust ETL processes for efficient data extraction, transformation, and loading.
  • Develop an automation model and sophisticated data pipelines using Python, Airflow, Redshift, and more.
  • Collaborate with data scientists to design, implement, and deploy AI & ML pipelines, turning raw data into actionable insights..
  • Drive scalable data architectures using Terraform and Jenkins, ensuring optimal performance and security.


Benefits:

  • Annual Leave:24 days to start, rising to 29 days.
  • Parental Leave:Enhanced provisions for growing families.
  • Health & Wellness:Medicash (Health Cash Plans) and dedicated wellness days.
  • Flexibility: Flexible Fridays and a hybrid working model (2–3 days in the office).
  • Additional Perks:Birthday day off, travel loan scheme, charity days, complimentary breakfasts, and regular social events.


Senior Data Engineer | Python, AWS, AI/ML | Data-Driven Insights Company

National AI Awards 2025

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