About the job
Join Infopro Digital as a Data & AI Engineer and play a vital role in our software development team. This permanent position supports our expanding Data & Benchmarking team, mainly focusing on Risk.net while occasionally collaborating with other brands.
Infopro Digital is a leading B2B group specializing in information and technology, with a presence in 20 countries and a diverse workforce of 4,000 employees spanning 79 nationalities.
Your primary responsibilities will include building, maintaining, and enhancing our data pipelines, datasets, and tools utilized by editorial, research, and product teams. You will be instrumental in collecting, processing, and managing data from various sources, including public, internal, and third-party.
This role involves designing and optimizing data workflows, developing scripts for data ingestion and transformation, and assisting in the storage and management of structured datasets across the organization.
Collaboration is key in this position, as you will work closely with developers, analysts, and editorial teams to ensure data accessibility, reliability, and structure for analysis, reporting, and product development.
Why Join Our Software Team?
We offer numerous opportunities for professional growth and the chance to work on exciting projects. Collaborate with a team of experienced developers, testers, architects, and system administrators, and gain exposure to a variety of technologies and practices.
Our commitment to stable employment and a robust project pipeline means many ongoing initiatives and improvements are on our roadmap. Many developers build long-lasting careers with us.
Key Responsibilities:
- Develop and maintain automated workflows and data pipelines for data collection and processing.
- Design, manage, and optimize structured datasets utilized throughout the organization.
- Create scripts and services for extracting, transforming, and loading data from various sources.
- Support journalists, analysts, and product teams in accessing and manipulating data.
- Ensure data quality, consistency, and reliability across datasets.
- Identify and implement improvements in automation and efficiency within data workflows.
- Collaborate with internal stakeholders, including developers, designers, UX specialists, and product teams.
- Contribute to the development of innovative data products, tools, and services.
