About the job
About Indicium AI
Indicium AI is a premier AI-native consultancy, recognized by leading enterprises globally for our ability to scale AI solutions in production. We specialize in various sectors such as Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our focus extends from strategy formulation to execution, enabling organizations to unlock substantial value from AI with unparalleled speed and clarity.
With a team of over 600 AI specialists serving more than 50 enterprise clients across 5 global locations, we collaborate closely with top-tier partners, including Anthropic, Databricks, AWS, OpenAI, and Microsoft, to deliver cutting-edge AI solutions that make a measurable impact.
About the Role
As an Associate Data Engineer at Indicium AI, you will be an integral part of a dynamic team of data professionals dedicated to building scalable and dependable data solutions for prominent organizations across Europe. In this client-facing role, you will assist in the design and development of data pipelines, support data integration endeavors, and enhance your skills under the mentorship of seasoned engineers. This position presents a unique opportunity to develop solid data engineering fundamentals while making a significant impact on our clients' data platforms from day one.
Key Responsibilities
Data Ingestion & Integration
- Contribute to data ingestion workflows, extracting data from relational and NoSQL databases, REST APIs, and flat files while ensuring high standards of data quality and consistency.
Pipeline Development
- Assist in the design and development of ELT pipelines, adhering to team standards and best practices in data engineering.
- Support the monitoring of pipeline executions across cloud and on-premises environments, promptly escalating issues as necessary.
Storage & Warehousing
- Help implement and maintain data storage solutions such as Data Warehouses and Data Lakes.
- Write and optimize SQL queries to facilitate downstream analytics and reporting requirements.
Collaboration & Documentation
- Engage closely with cross-functional teams, including analysts, engineers, and client stakeholders, to gather requirements and deliver tailored solutions.
- Ensure comprehensive documentation of pipelines, data models, and processes, fostering a culture of engineering excellence.
Learning & Growth
- Participate in continuous learning opportunities to enhance your skills and advance your career within the data engineering domain.
