Data Modeller

• Design and maintain conceptual, logical, and physical data models for enterprise and domain-specific solutions.
• Develop canonical business data models that support cross-functional processes and data integration.
• Define data structures for Lakehouse environments built on Databricks and Azure.
• Collaborate with architects, engineers, and business stakeholders to understand and translate business requirements into robust data models.
• Establish modelling standards, naming conventions, and best practices.
• Support the design of data products, reusable data assets, and integration models.
• Analyze existing data landscapes and identify opportunities for standardization and optimization.
• Document data lineage, metadata, relationships, and information ownership.
• Ensure models align with governance, security, and regulatory requirements.
• Contribute to architecture reviews and solution design activities., 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.

We are looking for a highly skilled Data Modeller to design and maintain enterprise and domain-level data models that support operational, analytical, and strategic business needs. This role will be responsible for establishing high-quality, scalable, and reusable data structures across the organization’s cloud data platform. Experience with Databricks, Data Architecture, and enterprise data modelling practices is essential., In order to be successful in this role you will need:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline.
• 5+ years of experience in enterprise data modelling within modern cloud data environments.
• Mandatory experience with Databricks and Data Architecture principles.
• Expertise in conceptual, logical, and physical data modelling methodologies.
• Strong knowledge of domain-driven design and enterprise information modelling.
• Experience with Azure data platforms, Data Lakehouse architectures, SQL, APIs, and data integration.
• Understanding of data engineering concepts including Spark, Delta Lake, ETL/ELT, and Python.
• Familiarity with metadata management, governance frameworks, and data quality practices.
• Experience in logistics, warehousing, transportation, inventory, planning, manufacturing, or supply chain domains.
• Experience using AI tools to enhance productivity and solution delivery.

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.

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.