Data Engineer I (AI)

TL;DR

Data Engineer I (AI): Designing and maintaining scalable data pipelines for machine learning and advanced analytics with an accent on data quality, secure data environments, and contributing to R&D projects. Focus on collaborating with cross-functional Agile teams, solving complex business problems with AI, and accelerating AI adoption at scale.

Location: You’ll be based in London.

Company

hirify.global, helps clients build innovative machine learning systems and solve business problems at scale.

What you will do

• Design and maintain scalable, reproducible data pipelines for machine learning.
• Assess data landscapes and ensure data quality.
• Manage secure data environments and prepare data for advanced analytics models.
• Contribute to R&D projects and internal asset development.
• Collaborate with cross-functional Agile teams (Data Scientists, Machine Learning Engineers, industry experts).
• Partner with clients to help solve complex problems that drive business value.

Requirements

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• Upto 2 years’ experience building data pipelines in a professional setting (e.g., internship) is a plus.
• Ability to write clean, maintainable, scalable, and robust code in Python.
• Familiarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP).
• Strong communication skills, both verbal and written, in English.
• Willingness to travel.

Nice to have

• Basic understanding or exposure to containerization technologies such as Docker and Kubernetes.
• Exposure to software engineering concepts and best practices, including DevOps, DataOps, and MLOps.
• Experience with Generative AI (GenAI) and agentic systems.

Culture & Benefits

• Continuous learning and apprenticeship culture with structured programs and clear feedback.
• A voice that matters, valuing innovative ideas and diverse perspectives while upholding ethics and integrity.
• Opportunity to be part of a global community with colleagues across 65+ countries and over 100 different nationalities.
• Competitive salary and a comprehensive benefits package focused on holistic well-being.
• High performance/high reward culture, fostering resilience and growth.