5762 Data Engineer with AI skills

The role focuses on building a modern analytics and Business Intelligence solution for the temp-staffing industry, integrating operational data across multiple ERP systems to provide reliable insights and enhance productivity through AI-driven methodologies.

• Ability to work independently in fast-paced environments.
• Proficient in advanced AI tooling, including MCP and harness engineering.
• Experience developing data pipelines with Python and Jupyter Notebooks.
• Hands-on use of Pandas, NumPy, and DuckDB or equivalent.
• Familiarity with cloud environments and SDKs for data extraction from Azure, AWS, and SQL databases.
• Expertise in SQL for data manipulation and normalization.
• Experience with BI tools for dataset management and dashboard generation.
• Expertise in dashboard design for interactive data analysis.
• Experience with Apache Superset is a plus.

Nice to have:

• Experience with containerization technologies like Docker and Kubernetes.
• Knowledge of rights management in BI tools for data security.
• Familiarity with ETL parallelization and workflow orchestration.

• Lead development of scalable ETL/analytics pipelines from requirements to published datasets and dashboards for multi-tenant setups.
• Collaborate with stakeholders to clarify metrics, map them to ERP/operational data, and prioritize KPIs.
• Build reliable ETL pipelines preparing analysis-ready datasets for SQL-based reporting.
• Design and implement BI dashboards providing visual insights into KPIs.
• Ensure scalability and optimize performance across multiple customers.