Overview
We are seeking a Data Engineer focused on preparing data that is governed, documented, and ready for consumption by AI models, agents, RAG, BI, advanced analytics, and APIs, ensuring that agents and models utilize reliable, contextualized, and traceable information.
Your Role and Responsibilities
- Prepare reliable datasets for AI agents, analytical models, dashboards, APIs, and business applications.
- Build views, tables, and data products designed for consumption by business, AI, and analytics functions.
- Document field definitions, business rules, lineage, data sources, and usage constraints.
- Support the generation of datasets for structured, semi-structured, and unstructured RAG (Retrieval-Augmented Generation).
- Create data extraction and preparation processes from Databricks, BigQuery, APIs, or databases.
- Assist in the vectorization of unstructured data, metadata, and corporate documents.
- Design data structures for semantic search and consumption by authorized agents.
- Collaborate with AI teams to supply agents with reliable, governed data.
- Implement quality checks tailored for AI consumption, covering freshness, completeness, consistency, duplication, and anomalies.
- Support data modeling for domains such as customers, policies, products, intermediaries, payments, claims, or channels.
REQUIREMENTS
Working at Motivus
- Intermediate Python
- Advanced SQL
- Knowledge of Spark, PySpark, or distributed processing.
- Experience with Databricks, BigQuery, data warehouses, or lakehouses.
- Knowledge of analytical modeling and dataset preparation for business consumption.
- Ability to understand business rules and translate them into consumable data structures.
- Basic knowledge of generative AI, RAG, embeddings, or semantic search.
- Proficiency in technical and functional data documentation.
- Desirable skills:
• Experience with dbt, Unity Catalog, Data Catalog, Looker, or Power BI.
• Experience with data APIs and data products.
• Knowledge of vector databases or semantic search engines.
• Experience with data contracts, data governance, privacy, masking, or sensitive data.
• Experience working with AI, advanced analytics, or data architecture teams
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
