LINK Technologies S.A. was established in 2002 with the aim of providing specialised advanced technology services both in the private and the public sector. The main activity of Link Technologies S.A is the provision of integrated solutions in the field of Information Technology and Communications, especially Telematics, which respond to the modern technological needs of its customers.
The aim of the company is to market products to private and public entities alike, with a particular emphasis on transport organisations. Examples of our clientele include: local governments, emergency Services, public transport organisations, passenger and freight ships, heavy goods transport, and more. To maintain our competitive edge, Link Technologies S.A. continuously seeks out and adopts cutting edge tools, and invests heavily in R&D.
We are currently looking for a Data Engineer to drive innovation and shape the future of our data infrastructure Unit.
Your day to day
You will be working in a dynamic setting, that demands initiative and the ability to adapt to an ever-changing environment. In return you’ll acquire new skills, remain at the forefront of trends, and never get stuck in rote routine. You’ll be out of your comfort zone, but you'll never get bored, that’s a promise.
- Design, build, and optimize scalable data systems and pipelines.
- Collaborate with various teams to ensure data consistency, security, and performance.
- Troubleshoot and improve data management and processing routines.
Responsibilities:
- System Construction and Optimization: Develop and manage robust, scalable data infrastructure capable of handling large datasets with complex integrations across diverse sources.
- Innovative System Design: Design new data systems and pipelines, focusing on scalability, efficiency, and meeting specific business needs.
- Requirement Definition: Work closely with stakeholders to clearly define and understand system requirements. Ensure that all designed systems align with business goals and data strategies.
- Data Storage and Retrieval: Build systems that effectively store and retrieve data, ensuring its accessibility for analytical and operational use.
- Data Security and Governance: Implement security measures to safeguard data, comply with data protection regulations, and conduct audits to ensure data integrity.
- Continuous Improvement: Proactively seek out opportunities for system enhancements. Stay abreast of industry trends and technologies to drive innovation within the organization.
- Documentation and Reporting: Document data procedures and systems. Create reports that provide insights into system performance and data integration processes.