Data Engineer
Core
Building and curating trusted datasets, developing AI-powered solutions, and enabling scalable, governed, intelligent self-service data platforms for business users.
Role type
Senior Data Engineer (AI & Self-Service Analytics)
Builds
Trusted datasets, logical/physical data models, ER diagrams, and intelligent automation solutions leveraging Microsoft Copilot, Denodo AI SDK, Dataiku, and Agentic AI frameworks.
Domain
Transportation (Rail, Mining, Marine) + Data Engineering & Generative AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, PL/SQL, Data Modeling, Data Warehousing, Data Ingestion, Semantic Layer Design, AI Platform Development, Intelligent Agent Development, Workflow Automation, Data Governance, Metadata Management
Preferred skills
Python, R, Spark, HiveSQL, NoSQL, Cloud Data Platforms, Predictive Analytics, Data Mining, Statistical Analysis
Technologies
Microsoft Copilot, Denodo AI SDK, Dataiku, Power BI, AWS Bedrock, Copilot Studio, ERwin, ER Studio, SharePoint, Hadoop, Hive, Postgres, MySQL, SQL Server, Sqoop, JDBC, ODBC
Responsibilities
Partner with stakeholders to execute Data Self-Service and Data Democratization strategy; Design, build, and curate high-quality datasets; Develop and publish logical/physical data models and ER diagrams; Collaborate on proof-of-concept evaluations for new AI and analytics platforms; Ensure self-service solutions meet enterprise data quality and security requirements; Guide users on effective tool usage for analytics and automation.
Seniority
Senior, hands-on IC