Data Engineer

As a Data Engineer , you will take ownership of building, maintaining, and optimizing scalable data products, pipelines and platforms that support TVH’s business objectives. You will collaborate closely with cross-functional teams to design and implement data solutions that meet both functional and technical needs, with a strong focus on data quality, performance, and governance. This role demands hands-on technical expertise combined with effective stakeholder communication to ensure seamless data flow and integration across systems.

Key Responsibilities:

 Data Pipeline Development & Maintenance

• Independently design, build, and optimize scalable, fault-tolerant data pipelines for batch and real-time data processing.

• Develop and manage data assets as data products. Curated, documented, reusable, and governed for business and analytical and operational consumption.

• Automate ETL/ELT workflows using orchestration tools (e.g., Apache Airflow).

• Contribute to CI/CD pipeline development, infrastructure-as-code, and platform automation for robust and scalable deployments.

• Collaborate with ML Engineers and Data Scientists to ensure data pipelines and features meet ML use-case requirements.
   

Data Modeling

• Develop and maintain data models aligned with business requirements, collaborating with data architects and analysts to ensure usability and consistency.
   

Continuous Improvement

• Identify bottlenecks or inefficiencies in data processes and pipelines; assist in drafting and implementing improvement plans.

• Contribute to improving data engineering standards, tooling, and best practices.
   

Data Governance

• Create and maintain high-quality technical documentation covering data pipelines, integration flows, data models, and operational procedures.

• Provide and collect metadata to support lineage and classification

• Contribute to organizational standards and guidelines documentation.

Stakeholder Management

• Collaborate with data owners, data maintenance teams, business users, and other stakeholders to ensure data quality and alignment with business needs.

• Facilitate communication and feedback loops to promote shared understanding of data solutions and issues.
   

Project Participation

• Contribute actively to the planning, coordination, and execution of assigned data engineering projects, supporting timely delivery within scope and quality standards.
   

Mentoring & Collaboration

• Support junior colleagues in task execution and provide mentorship on complex topics.

• Participate in team knowledge sharing sessions to disseminate learnings and insights.
   

Information Security & Compliance

• Implement and monitor data security measures including row-level security and access controls.

• Ensure all data solutions comply with data protection, privacy (GDPR), and retention requirements, collaborating with Governance and Security teams
   

Technical Design & Quality

• Assist in technical administration of data engineering tools and platforms.

• Support optimization of data quality checks and pipeline performance.
   

Integrations & Reporting

• Design, develop, and maintain system integrations using APIs, middleware, or other methods.

• Ensure data flow accuracy, reliability, and performance with error handling and monitoring mechanisms.

Your profile:

•  Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.

• Proven hands-on experience building and maintaining scalable data pipelines and ETL/ELT workflows.

• Proficiency with SQL and at least one programming language such as Python, Java, or Scala.

• Experience with data transformation and workflow orchestration tools (e.g., dbt and Airflow).

• Experience with data storage solutions (preferably BigQuery, Cloud Storage, Cloud SQL)

• Familiarity with cloud platforms (preferably GCP) and their data services.

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder collaboration skills.

• Knowledge of data modeling concepts and data warehousing principles.

• Understanding of data governance, security, and quality best practices. 
   

Preferred Skills:

•  Experience with real-time streaming technologies (e.g., Kafka, Pub/Sub).

• Familiarity with DataOps en DevOps practices 

• Knowledge of containerization (Docker) and orchestration (Kubernetes).

• Experience with scripting languages for automation (e.g., Bash, Python).

• Agile/Scrum experience.

• Fluent in English 

What's in it for you:

You will become part of a people-oriented company where your well-being really matters. Flexible working hours, work from home possibilities, 20 days holiday and 12 WTR days within a 40-hour week. At our headquarters you will also discover our TVH Park, a green area where you can move around and have the possibility to relax, meet or have lunch. Furthermore, we also offer: 

•  An attractive salary package with extra-legal benefits such as group and hospitalization insurance, luncheon vouchers, corporate restaurant, company car, ...

• An exciting position in an international company with a family atmosphere where people are at the center.

• You are part of a dynamic entrepreneurial team that is fast-growing and at the center of the transformation.  

• You arrive in an innovative, progressive and technological environment.

• Numerous opportunities for personal development, among other things through permanent guidance and professional (internal/external) training courses.

• Fun afterworks and other optional events (e.g. TVH Kaffee).

People are at our heart

TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas. 

About TVH

TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.