Senior Enterprise Applications Engineer
Core
Designing, building, and optimizing data architecture, pipelines, and enterprise applications to power financial consolidation, planning, forecasting, and reporting.
Role type
Senior Enterprise Applications Engineer (Data Engineering & BI)
Builds
Scalable data pipelines, ETL/ELT workflows, data warehouses, and BI dashboards for the Finance, Accounting, and FP&A teams.
Domain
Automotive industry, Enterprise Finance Technology, Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, Business intelligence, Advanced SQL, Data modeling, Data warehousing, ETL/ELT patterns, Cloud environments (AWS, Snowflake), Relational databases (PostgreSQL, MySQL, SQL Server), BI tools (Power BI, Tableau), Data quality tools, Git, AI-assisted development tools
Preferred skills
AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), Data orchestration (Apache Airflow, Dagster), CI/CD pipelines, Real-time data streaming (Kafka, Kinesis), Data governance
Technologies
Snowflake, AWS, dbt, Informatica, PostgreSQL, MySQL, SQL Server, Power BI, Tableau, GitHub Copilot, Snowflake Cortex, M365 Copilot
Responsibilities
Design and maintain scalable data pipelines and ETL/ELT workflows; Implement automated data quality checks and validation frameworks; Plan and deliver end-to-end data projects; Develop and enhance dashboards and reporting tools; Partner with finance teams to design viable data solutions; Mentor junior team members and contribute to Agile planning
Seniority
Senior, hands-on IC
