Data Engineer; Electronics Solutions

The client is a global leader in connected automotive and consumer electronics, known for trusted brands in radar detection, smart dash cams, CB radios, and portable power solutions. Since 1961, they’ve been pioneering road safety and connectivity technologies that empower drivers to stay connected, informed, and protected. With a strong focus on real‑time data and sensor‑based innovation, the company continues to lead the way in intelligent automotive technology.

The company is expanding its suite of connected solutions that integrate advanced safety features and community‑shared alerts through connected automotive devices. The Data Engineering team plays a central role in supporting both data infrastructure and operational analytics across the ecosystem.

• SQL
• Python
• Power BI
• Power Automate
• AWS Cloud Watch
• APIs
• Medallion Architecture
• Dimensional Modeling

• Design and implement Data Warehouse schema
• Build data ingestion pipelines using Python and stored procedures
• Automate data flow from APIs and non‑API sources using Power Automate
• Develop and maintain Power BI dashboards for business intelligence
• Conduct stakeholder demos and requirement clarification sessions
• Maintain infrastructure across databases, APIs, pipelines, and reports
• Monitor application/device logs using AWS Cloud Watch
• Analyze logs and support the mobile development team in troubleshooting
• Review and refine documentation for team alignment and onboarding
• Assist with infrastructure performance optimization and debugging

• 5+ years of experience in Data Engineering or similar role
• Strong understanding of data warehouse modeling, especially Medallion architecture
• Expert in SQL with performance tuning, stored procedures, and complex queries
• Proficient in Python for data pipeline and API integration
• Hands‑on experience with Power BI for reporting and visualization
• Proficiency in Power Automate for data ingestion and process automation
• Strong skills in data validation, anomaly detection, and stakeholder collaboration
• Comfortable working with AWS Cloud Watch and log‑based troubleshooting
• Excellent written and verbal English communication skills (B1+ or higher)

The global benefits package includes:

• Technical and non‑technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.