(Junior or Mid) Data Engineer - AI, Data Quality & Automation
Core
Building and maintaining data platforms to support AI integration, automation, and data quality initiatives for business reporting and analysis.
Role type
Junior to Mid-level Data Engineer (AI & Automation)
Builds
Data pipelines, ETL processes, and automated reporting solutions using Dataiku and cloud platforms.
Domain
Financial Services / Data Engineering & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python or C#, Dataiku, ETL processes, database technologies, machine learning fundamentals, data quality testing, automation scripting
Preferred skills
CI/CD practices, AWS cloud platforms, actuarial processes, Qlik, data modelling
Technologies
Dataiku, Python, C#, AWS, Qlik
Responsibilities
Supporting AI and automation integration with a focus on capacity planning and reporting; working with databases and big data for reporting and data preparation; implementing data quality checks and ETL processes; improving reporting processes through machine learning and task automation; collaborating with analysts and business teams to deliver data solutions; analyzing data to identify improvement opportunities.
Seniority
Junior to Mid-level, hands-on IC
