Data Engineer

Moro Technology Corporation; Oost-Vlaanderen; On-site; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Meal vouchers

Health coverage

Training budget

Job summary

Moro Technology Corporation is seeking a Data Engineer to design and maintain scalable data pipelines on modern cloud platforms. You will work with Databricks, Azure, and Delta Lake to deliver data products and reusable services that align with enterprise standards.

The role requires strong Python, Spark, SQL skills and experience with APIs, event-driven architectures, and governance. Join a global team and help power analytics and AI-driven use cases.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 3-5 years of experience with Databricks and modern cloud data platforms.
• Understanding of Data Architecture principles and enterprise data ecosystems.
• Expertise in Python, Spark, SQL, Delta Lake, and ETL/ELT frameworks.
• Experience developing data pipelines on Azure-based platforms.
• Experience working with APIs, event-driven architectures, and distributed data systems.
• Understanding of data modelling principles and data design best practices.
• Knowledge of data governance, metadata management, security, and access control.
• Experience supporting logistics, warehouse management, inventory, transport, planning, or supply chain processes.
• Familiarity with AI tools and AI-assisted software development practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks, Spark, Python, SQL, and Delta Lake.
• Build and optimize ETL/ELT frameworks for analytical and operational workloads.
• Implement data products and reusable data services aligned with enterprise standards.
• Develop integrations using APIs, event-driven architectures, and cloud-native tech.
• Support development of data models and governance requirements.
• Optimize performance, reliability, and scalability of data processing solutions.
• Collaborate with architects, modellers, product managers, and stakeholders to deliver value.
• Support analytics, reporting, operational systems, and AI-driven use cases.
• Contribute to DevOps, automation, CI/CD, and AI-assisted development.

Skills

Python

Spark

SQL

ETL/ELT

Education

Bachelor's degree in Computer Science, Engineering, Information Systems

Tools

Databricks

Azure

Lakehouse

Job description

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.

The impact of the role:

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.

In order to be successful in this role you will need:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 3-5 years of experience with Databricks and modern cloud data platforms.
• Understanding of Data Architecture principles and enterprise data ecosystems.
• Expertise in Python, Spark, SQL, Delta Lake, and ETL/ELT frameworks.
• Experience developing data pipelines on Azure-based platforms.
• Experience working with APIs, event-driven architectures, and distributed data systems.
• Understanding of data modelling principles and data design best practices.
• Knowledge of data governance, metadata management, security, and access control.
• Experience supporting logistics, warehouse management, inventory, transport, planning, or supply chain processes.
• Familiarity with AI tools and AI-assisted software development practices.

Perks that match your passion:

Your Expertise Rewarded

• A competitive compensation package that grows with your impact.
• Annual Performance and Salary Reviews to celebrate your progress.

Supporting Your Daily Success

• Monthly Meal Vouchers to fuel your creativity.
• Premium Private Health Coverage for you and your family.

Never Stop Growing

• Yearly training budget to master new skills.
• Cutting-edge tech setup with optional upgrades to customize your gear.
• Structured growth plans and regular progress check-ins.

Please note that these are some of the benefits to offer.

If you are curious, thoughtful in your approach, and motivated to build technology that lasts, you will find opportunities to learn, contribute, and grow with us.

Built Together. Built to Last.

Learn more about MTC https://bit.ly/45Wms4s