Data & Analytics Engineer, GenAI Enablement

We are seeking for an Engineer to support AI and data initiatives by building and enhancing the data and analytics foundations that enable customer insights and GenAI-driven use cases. This role focuses on developing scalable data ingestion, transformation, taxonomy, and analytics capabilities that support dashboards, KPIs, trend analysis, and AI-assisted insight generation. The engineer works closely with analytics, engineering, and GenAI stakeholders to translate complex data into reliable, usable, and actionable insights.

• Build and maintain datasets, metrics, and analytical views supporting dashboards, KPIs, trend analyses, and drill-down reporting
• Develop and refine semantic layers and metric definitions to ensure clarity, consistency, and usability across analytics products
• Support data visualization and reporting in tools such as Tableau or Quick Sight
• Design and implement automated data ingestion and transformation pipelines for structured and unstructured data sources
• Support taxonomy alignment, labeling, and metadata enrichment to improve discoverability and AI readiness
• Build scalable data storage and transformation layers, including curated datasets and dbt-style models
• Work closely with engineering teams to ensure ingestion correctness, pipeline stability, and data readiness

• Support integration of analytics pipelines with GenAI and Agentic AI components used for insight generation and exploration
• Apply GenAI tools to improve analytical workflows, automate repetitive tasks, and surface insights more efficiently
• Help prepare datasets and metadata for RAG and AI-driven analytics use cases

• Apply data quality checks, validation logic, and monitoring to ensure accuracy and reliability of analytical outputs
• Support optimization of data pipelines for performance, latency, and scalability
• Contribute to documentation, data definitions, and usage guidance

• Collaborate with analysts, GenAI specialists, quality teams, and business stakeholders to deliver aligned solutions
• Contribute to technical design discussions and solution reviews
• Navigate ambiguous problem spaces with a structured and solution-oriented approach

• Analyze complex datasets to identify relevant takeaways for the executive team
• Validate whether analytical results align with business logic, operational realities, and customer behavior
• Translate business requirements into clear technical specifications so analytical workflows and data outputs support underlying strategic needs

• 3+ years of experience in data engineering, analytics engineering, backend engineering, or data analytics roles.
• Strong SQL skills and experience working with analytical datasets and metric development.
• Hands‑on experience with ETL/ELT pipelines, data ingestion frameworks, and API‑based integrations.
• Experience working with both structured and unstructured data.
• Familiarity with data visualization tools such as Tableau, Quick Sight, or similar.
• Solid understanding of data modeling, data quality, and validation practices.

• Experience supporting or integrating GenAI or Agentic AI solutions within analytics or data platforms.
• Familiarity with cloud‑based data architectures (AWS preferred).
• Experience with customer behavior analytics, usage metrics, or quality indicators.
• Exposure to metadata management, taxonomy design, or labeled datasets for AI use cases.

• Strong analytical thinking and attention to detail in metrics definition and data interpretation.
• Ability to communicate technical concepts clearly to both technical and non‑technical audiences.
• Collaborative mindset with comfort working across teams and disciplines.
• Interest in applying GenAI tools to enhance analytics and data‑driven decision‑making.

• Work on globally deployed automotive navigation and mapping products
• Collaboration with an experienced, international engineering organization
• Truly international team of fantastic & talented people from 60+ countries worldwide, working from…