Associate Data Engineer
Indicium AI
Associate Data Engineer
Indicium AI
End-to-end data and AI consulting
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.
ABOUT THE ROLE
As an Associate Data Engineer at Indicium AI, you will join a team of data practitioners building scalable, reliable data solutions for leading organisations across Europe. Working within client engagements, you will contribute to the design and development of data pipelines, support data integration projects, and grow your expertise under the guidance of experienced engineers. This is an opportunity to establish strong data engineering fundamentals while making a tangible impact on clients' data platforms from day one.
KEY RESPONSIBILITIES
Data Ingestion & Integration
Pipeline Development
Storage & Warehousing
Collaboration & Documentation
Learning & Growth
REQUIREMENTS
At Indicium AI we believe in personal growth and professional development, and are convinced that the perfect candidate is one that continuously learns. Therefore, these requirements are an || and not an &&
Technical
Soft Skills & Language
NICE TO HAVE
Benefits
End-to-end data and AI consulting
Indicium AI provides end-to-end data and AI consultancy for mid-size and large enterprises, helping organizations organize data, design data strategies, build data platforms, and enable AI adoption. They work by applying the Modern Data Stack (AWS, Databricks, Google Cloud, Snowflake) to deliver data solutions, and they use IndiMesh, a proprietary AI-enabled framework with pre-built templates and governance processes, plus AI Data Squads that combine human experts with AI agents for complex migrations. They differentiate themselves through scalable, service-based delivery using a repeatable framework rather than a single product, focused on standardizing and accelerating large-scale data and AI programs, and by expanding their operations in the United States. Their goal is to help enterprises improve data-driven decision-making and scale AI adoption across industries and geographies.
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