Moro Technology Corporation (MTC) is Software Engineering services provider with teams across Europe, Japan and North America. By combining technical expertise with the principles of Japanese craftsmanship, we focus on building high-quality solutions while continuously improving the way we work. Our work spans Automotive and Smart Mobility, helping shape the systems people rely on every day.
Joining MTC means becoming part of an international team where you will work on meaningful projects, collaborate with talented colleagues across countries and disciplines, and have the opportunity to learn, grow, and make an impact.
We are Global by Design and Close by Choice. We foster a culture of ownership, continuous learning, and mutual respect, where people are trusted to do their best work.
We are seeking a skilled Data Engineer to build and maintain scalable data pipelines, data products, and integration solutions on modern cloud platforms. The successful candidate will work closely with Data Architects and Data Modellers to implement high-quality data solutions leveraging Databricks, Azure, and Lakehouse technologies. A strong understanding of data architecture principles is required.
On a given day, a Data Engineer will:
- Design, develop, and maintain scalable data pipelines using Databricks, Spark, Python, SQL, and Delta Lake.
- Build and optimize ETL/ELT frameworks supporting analytical and operational workloads.
- Implement data products and reusable data services aligned with enterprise architecture standards.
- Develop integrations using APIs, event-driven architectures, and cloud-native technologies.
- Support implementation of conceptual, logical, and physical data models.
- Optimize performance, reliability, and scalability of data processing solutions.
- Ensure compliance with governance, security, metadata, and lineage requirements.
- Collaborate with architects, modellers, product managers, and business stakeholders to deliver business value.
- Support analytics, reporting, operational systems, and AI-driven use cases.
- Contribute to DevOps, automation, CI/CD, and AI-assisted development practices.
