Senior Data Engineer

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