Data Engineer

仕事内容

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.