Data Engineer
- Faber LABS
- Veemarktkade 8, 's-Hertogenbosch
Hey, Data Engineer. Are you ready to change the world of supply chain forever? Nice to meet you, we are Faber LABS. A brand-new division of Faber Group that is launched to digitalize our load carrier business models. With endless possibilities to make supply chains more sustainable, transparent, and efficient, but above all future-proof, we need your engineering and problem-solving skills to achieve our goals. Ready to take on the challenge? Your role as Data Engineer Maybe you noticed, but we have big ambitions. So you, as a Data Engineer, will play a critical role in ensuring we reach our goals. You will design, build, and maintain efficient and scalable data pipelines to collect, process, and transform data from various sources into actionable insights. You’ll ensure that data is available, clean, and reliable, working closely with your Data team colleagues to optimize data flows and drive impactful business outcomes. You will help us harness the power of data, enabling data-driven decision-making across the organization.
What you’ll do
- Data Pipeline Development: Design, develop, and maintain robust data pipelines that collect and process data from multiple sources, ensuring data is clean, accurate, and accessible.
- Optimization & Automation: Continuously optimize data pipelines, ETL processes, and workflows for performance and efficiency. Automate manual processes to improve operational efficiency and set up automated monitoring solutions.
- Driving Innovation: Support data-driven innovation by integrating emerging technologies such as cloud solutions, machine learning, and advanced analytics.
- Internal Collaboration: Collaborate with the multidisciplinary data team and other stakeholders to implement scalable solutions that support data-driven decision-making.
- Team Contributions: As our Data team is new, we’d love your input & contribution to further mature the team, e.g. by devising data governance strategies, setting up comprehensive documentation and devising the optimal way of working.
