Data Consultant

About Indicium AI 

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.

Opportunity

We recognise “data” is broad, that’s why we’re keen to speak to those from a data background and cloud natives with experience in building software of high quality standards.

As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you.

Responsibilities

• You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications
• Solve end to end data problems/opportunities at scale
• Contributing to solution architecture & design of complex systems
• Working with our customers to take them on a journey to success bringing their data strategy to life
• Engage with your cross-functional squad during the implementation of end-to-end solutions
• Contribute to internal initiatives such as blogs, technical forums, and technology practices
• Drive your own development using the tools and support from Indicium AI to learn new skills

Requirements (These are || not &&)

• Experience building end-to-end data-centric systems  using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) 
• Software development experience with one or more languages (e.g. Python, Java, C#)
• Solid  software engineering  and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production
• Worked with one or more cloud platforms and services (AWS, Azure, GCP) 
• Hands-on experience with modern data technologies and tools , data storage and also IaC ()